metadata: run_metadata: 92 rows where devstage_curation = "Undetermined" and experiment.library

92 rows where devstage_curation = "Undetermined" and experiment.library_strategy = "miRNA-Seq"

descending

Link	rowid ▼	run.accession	experiment.accession	sample.accession	study.accession	bioproject	study.title	study.alias	study.type	study.abstract	study.attributes	study.PMIDs	sample.description	sample.title	sample.alias	sample.attributes	GEOsample.title	GEOsample.dataprocessing	GEOsample.source	GEOsample.treatmentprotocol	GEOsample.extractprotocol	GEOsample.growthprotocol	GEOsample.characteristics	GEOsample.accession	experiment.title	experiment.alias	experiment.library_name	experiment.design_description	experiment.library_construction_protocol	experiment.attributes	experiment.library_strategy	experiment.library_source	experiment.library_selection	experiment.library_layout	experiment.platform	experiment.instrument_model	experiment.study_ref	run.attributes	run.filename	run.semantic_name	run.total_bases	run.total_spots	run.alias	run.read_lengths	run.base_counts	run.r1_length	run.r2_length	run.Acount	run.Ccount	run.Gcount	run.Tcount	run.Ncount	run.experiment	run.pool_member	submission.accession	submission.srasource	submission.bioprojectsource	seqdetective.n_mates	seqdetective.mapping_rate.mate1	seqdetective.nofeature_rate.mate1	seqdetective.sparsity.mate1	seqdetective.pos_strand_rate.mate1	seqdetective.readlen.mate1	seqdetective.judgement.mate1	seqdetective.judgement.reason	platform_family	instrument_generation	read_bias	selection_class	prep_kit	sc_or_bulk	tech_class	technology	submission.bioprojectsource.country	earliest_date	devstage_curation	devstage_curation_coarse	tissue_curation	tissue_curation_coarse
28470	28470	SRR26253203	SRX21963295	SRS19039869	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN4 2	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 22\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFND2	Small RNA IFND2	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN4-2.deadaptor.fq.gz	fastq	278362309.0	11056139.0	IFN4 2.deadaptor.fq.gz	0:25.18	A:71944968;C:54562141;G:73333701;T:78511075;N:10424	25		71944968	54562141	73333701	78511075	10424	SRX21963295	SRS19039869	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.93133	0.07401	0.96181	0.74558	31	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28471	28471	SRR26253204	SRX21963294	SRS19039868	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN4 1	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 21\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFND1	Small RNA IFND1	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN4-1.deadaptor.fq.gz	fastq	289362334.0	11048590.0	IFN4 1.deadaptor.fq.gz	0:26.19	A:73933649;C:59386039;G:76847534;T:79184583;N:10529	26		73933649	59386039	76847534	79184583	10529	SRX21963294	SRS19039868	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.91683	0.07099	0.96132	0.64882	25	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28472	28472	SRR26253205	SRX21963293	SRS19039867	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN1 4	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 20\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFNA4	Small RNA IFNA4	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN1-4.deadaptor.fq.gz	fastq	270529395.0	11070360.0	IFN1 4.deadaptor.fq.gz	0:24.44	A:69759888;C:54924667;G:71358091;T:74470720;N:16029	24		69759888	54924667	71358091	74470720	16029	SRX21963293	SRS19039867	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.88469	0.06696	0.96664	0.74853	22	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28473	28473	SRR26253206	SRX21963292	SRS19039866	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN1 3	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 19\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFNA3	Small RNA IFNA3	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN1-3.deadaptor.fq.gz	fastq	353291957.0	11740560.0	IFN1 3.deadaptor.fq.gz	0:30.09	A:89026549;C:76490337;G:94719420;T:93036955;N:18696	30		89026549	76490337	94719420	93036955	18696	SRX21963292	SRS19039866	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.83151	0.07199	0.96471	0.71641	22	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28474	28474	SRR26253207	SRX21963291	SRS19039865	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN1 2	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 18\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFNA2	Small RNA IFNA2	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN1-2.deadaptor.fq.gz	fastq	257949577.0	11213774.0	IFN1 2.deadaptor.fq.gz	0:23.00	A:67371681;C:51128621;G:67605590;T:71826657;N:17028	23		67371681	51128621	67605590	71826657	17028	SRX21963291	SRS19039865	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.91396	0.06536	0.97197	0.76269	23	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28475	28475	SRR26253208	SRX21963290	SRS19039864	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN1 1	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 17\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFNA1	Small RNA IFNA1	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN1-1.deadaptor.fq.gz	fastq	329358383.0	11799176.0	IFN1 1.deadaptor.fq.gz	0:27.91	A:84093681;C:68961271;G:86502739;T:89779605;N:21087	27		84093681	68961271	86502739	89779605	21087	SRX21963290	SRS19039864	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.92116	0.07483	0.96796	0.75179	22	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28476	28476	SRR26253209	SRX21963289	SRS19039863	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA Control 4	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 16\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA C4	Small RNA C4	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		Control-4.deadaptor.fq.gz	fastq	251577736.0	10951659.0	Control 4.deadaptor.fq.gz	0:22.97	A:65382449;C:50041232;G:66038625;T:70106464;N:8966	22		65382449	50041232	66038625	70106464	8966	SRX21963289	SRS19039863	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.89744	0.06821	0.96607	0.63829	22	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28477	28477	SRR26253210	SRX21963288	SRS19039862	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA Control 3	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 15\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA C3	Small RNA C3	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		Control-3.deadaptor.fq.gz	fastq	252164979.0	11004167.0	Control 3.deadaptor.fq.gz	0:22.92	A:65850899;C:48466665;G:66708038;T:71130786;N:8591	22		65850899	48466665	66708038	71130786	8591	SRX21963288	SRS19039862	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.91567	0.06804	0.96278	0.75579	22	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28478	28478	SRR26253211	SRX21963287	SRS19039861	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN4 4	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 24\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFND4	Small RNA IFND4	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN4-4.deadaptor.fq.gz	fastq	291708053.0	11503883.0	IFN4 4.deadaptor.fq.gz	0:25.36	A:74079231;C:61368459;G:76898572;T:79351225;N:10566	25		74079231	61368459	76898572	79351225	10566	SRX21963287	SRS19039861	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.88888	0.0633	0.97305	0.74862	23	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28479	28479	SRR26253212	SRX21963286	SRS19039860	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA IFN4 3	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 23\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA IFND3	Small RNA IFND3	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		IFN4-3.deadaptor.fq.gz	fastq	349995495.0	11885662.0	IFN4 3.deadaptor.fq.gz	0:29.45	A:87443709;C:76373108;G:92741296;T:93425866;N:11516	29		87443709	76373108	92741296	93425866	11516	SRX21963286	SRS19039860	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.92619	0.06843	0.9709	0.74977	73	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28480	28480	SRR26253213	SRX21963285	SRS19039859	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA Control 2	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 14\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA C2	Small RNA C2	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		Control-2.deadaptor.fq.gz	fastq	254163676.0	10744164.0	Control 2.deadaptor.fq.gz	0:23.66	A:66003417;C:49309846;G:67463940;T:71377644;N:8829	23		66003417	49309846	67463940	71377644	8829	SRX21963285	SRS19039859	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.93068	0.06626	0.96441	0.7492	22	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
28481	28481	SRR26253214	SRX21963284	SRS19039858	SRP464138	PRJNA1022587	Danio rerio Raw sequence reads	PRJNA1022587	Whole Genome Sequencing	In teleost type I IFNs are categorized into 2 subgroups containing one or two pairs of disulphide bond. However their functional differences have not been fully unveiled. It has been shown that IFN1 can be induced by viruses and trigger strong antiviral response in inducing hundreds of IFN stimulated genes conferring cell resistance to viruses. However the antiviral functions of IFN4 have been debated. To investigate the genes modulated by IFN1 and IFN4 ZF4 cells were stimulated with recombinant IFN1 and IFN4 and were performed transcriptome analysis of the small RNA.					Small RNA Control 1	strain:not collected\|age:not collected\|collection date:2023 08 20\|geo loc name:not collected\|sex:not collected\|tissue:not collected\|cell line:ZF4\|replicate:biological replicate 13\|BioSampleModel:Model organism or animal									Small RNAseq of zebrafish	Small RNA C1	Small RNA C1	small RNA seq of zebrafish			miRNA-Seq	TRANSCRIPTOMIC	PCR	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP464138		Control-1.deadaptor.fq.gz	fastq	267090429.0	11027241.0	Control 1.deadaptor.fq.gz	0:24.22	A:70162511;C:50705437;G:69872659;T:76339682;N:10140	24		70162511	50705437	69872659	76339682	10140	SRX21963284	SRS19039858	SRA1724093	Shanghai Ocean University\|College of Fisheries and Life Science	Shanghai Ocean University	1	0.93267	0.07189	0.96735	0.75447	21	B	usable mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2023-10-02	Undetermined	Undetermined	Cell Line	Cell Line
34282	34282	SRR31640757	SRX27004210	SRS23468967	SRP550004	PRJNA1195374	Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2	PRJNA1195374	Other	Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected treated with CD and evaluated for migration invasion malondialdehyde level superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression alleviate HT22 cell injury and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.					CD1	strain:not applicable\|isolate:not applicable\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|collection date:not applicable\|geo loc name:not applicable\|sex:not applicable\|tissue:not applicable\|treatment:Experiment group replicate1\|BioSampleModel:Model organism or animal									microRNA seq of Danio rerio: Experiment group	BXP 1	BXP 1				miRNA-Seq	TRANSCRIPTOMIC	RANDOM	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP550004		BXP_1.fq.gz	fastq	816499035.0	16009785.0	BXP 1.fq.gz	0:51	A:191280900;C:189440771;G:247005615;T:188686493;N:85256	51		191280900	189440771	247005615	188686493	85256	SRX27004210	SRS23468967	SRA2029520	Heilongjiang University of Chinese Medicine\|College of Traditional Chinese Medicine	Heilongjiang University of Chinese Medicine							T	under 1.2% mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2024-12-07	Undetermined	Larval	Undetermined	Undetermined
34283	34283	SRR31640758	SRX27004209	SRS23468966	SRP550004	PRJNA1195374	Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2	PRJNA1195374	Other	Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected treated with CD and evaluated for migration invasion malondialdehyde level superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression alleviate HT22 cell injury and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.					Control3	strain:not applicable\|isolate:not applicable\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|collection date:not applicable\|geo loc name:not applicable\|sex:not applicable\|tissue:not applicable\|treatment:Control group replicate3\|BioSampleModel:Model organism or animal									microRNA seq of Danio rerio: Control group	Control 3	Control 3				miRNA-Seq	TRANSCRIPTOMIC	RANDOM	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP550004		Control_3.fq.gz	fastq	662560023.0	12991373.0	Control 3.fq.gz	0:51	A:151053320;C:152811933;G:203340354;T:155283230;N:71186	51		151053320	152811933	203340354	155283230	71186	SRX27004209	SRS23468966	SRA2029520	Heilongjiang University of Chinese Medicine\|College of Traditional Chinese Medicine	Heilongjiang University of Chinese Medicine							T	under 1.2% mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2024-12-07	Undetermined	Larval	Undetermined	Undetermined
34284	34284	SRR31640759	SRX27004208	SRS23468963	SRP550004	PRJNA1195374	Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2	PRJNA1195374	Other	Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected treated with CD and evaluated for migration invasion malondialdehyde level superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression alleviate HT22 cell injury and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.					Control2	strain:not applicable\|isolate:not applicable\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|collection date:not applicable\|geo loc name:not applicable\|sex:not applicable\|tissue:not applicable\|treatment:Control group replicate2\|BioSampleModel:Model organism or animal									microRNA seq of Danio rerio: Control group	Control 2	Control 2				miRNA-Seq	TRANSCRIPTOMIC	RANDOM	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP550004		Control_2.fq.gz	fastq	648856119.0	12722669.0	Control 2.fq.gz	0:51	A:149869576;C:151844056;G:195830503;T:151241215;N:70769	51		149869576	151844056	195830503	151241215	70769	SRX27004208	SRS23468963	SRA2029520	Heilongjiang University of Chinese Medicine\|College of Traditional Chinese Medicine	Heilongjiang University of Chinese Medicine							T	under 1.2% mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2024-12-07	Undetermined	Larval	Undetermined	Undetermined
34285	34285	SRR31640760	SRX27004207	SRS23468962	SRP550004	PRJNA1195374	Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2	PRJNA1195374	Other	Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected treated with CD and evaluated for migration invasion malondialdehyde level superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression alleviate HT22 cell injury and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.					Control1	strain:not applicable\|isolate:not applicable\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|collection date:not applicable\|geo loc name:not applicable\|sex:not applicable\|tissue:not applicable\|treatment:Control group replicate1\|BioSampleModel:Model organism or animal									microRNA seq of Danio rerio: Control group	Control 1	Control 1				miRNA-Seq	TRANSCRIPTOMIC	RANDOM	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP550004		Control_1.fq.gz	fastq	835887501.0	16389951.0	Control 1.fq.gz	0:51	A:193253330;C:196900031;G:252690178;T:192797500;N:246462	51		193253330	196900031	252690178	192797500	246462	SRX27004207	SRS23468962	SRA2029520	Heilongjiang University of Chinese Medicine\|College of Traditional Chinese Medicine	Heilongjiang University of Chinese Medicine							T	under 1.2% mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2024-12-07	Undetermined	Larval	Undetermined	Undetermined
34290	34290	SRR31640765	SRX27004202	SRS23468965	SRP550004	PRJNA1195374	Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2	PRJNA1195374	Other	Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected treated with CD and evaluated for migration invasion malondialdehyde level superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression alleviate HT22 cell injury and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.					CD3	strain:not applicable\|isolate:not applicable\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|collection date:not applicable\|geo loc name:not applicable\|sex:not applicable\|tissue:not applicable\|treatment:Experiment group replicate3\|BioSampleModel:Model organism or animal									microRNA seq of Danio rerio: Experiment group	BXP 3	BXP 3				miRNA-Seq	TRANSCRIPTOMIC	RANDOM	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP550004		BXP_3.fq.gz	fastq	656139327.0	12865477.0	BXP 3.fq.gz	0:51	A:152349522;C:156353407;G:196379918;T:150985088;N:71392	51		152349522	156353407	196379918	150985088	71392	SRX27004202	SRS23468965	SRA2029520	Heilongjiang University of Chinese Medicine\|College of Traditional Chinese Medicine	Heilongjiang University of Chinese Medicine							T	under 1.2% mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2024-12-07	Undetermined	Larval	Undetermined	Undetermined
34291	34291	SRR31640766	SRX27004201	SRS23468964	SRP550004	PRJNA1195374	Cortex Dictamni induces retinitis pigmentosa in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2	PRJNA1195374	Other	Ethnopharmacological relevance: Cortex Dictamni CD is the dried root skin of Dictamnus dasycarpus Turcz widely used in the field of traditional Chinese medicine. mainly for the treatment of skin diseases. Recent adverse reactions to CD limited the clinical application in combination with other traditional Chinese medicines.Aim of the study: To investigate the retinitis pigmentosa RP effects of CD using the zebrafish model and elucidate the underlying molecular mechanism of CD induced RP in zebrafish.Materials and methods: The 3 dpf zebrafish larvae were divided into control and CD group. RNA sequencing followed with qRT PCR validating miRNAs and mRNAs. Dual luciferase reporter assay confirmed mmu mir 6240 p3 2's interaction with pde6a. HT22 cells were transfected treated with CD and evaluated for migration invasion malondialdehyde level superoxide dismutase and acetylcholine activities.Results: The results showed 6228 differentially expressed genes and 66 miRNAs differentially expressed in zebrafish exposed to CD. The personal correlation coefficient results showed that mmu mir 6240 p3 2 had the highest correlation coefficient with pde6a and had a negative regulatory relationship. The results of dual luciferase reporter gene further showed that pde6a gene was the direct target of mmu mir 6240 p3 2. Cell experiment results showed that inhibiting mir 6240 p3 2 can upregulate pde6a expression alleviate HT22 cell injury and reverse the inhibition of cell migration and invasion induced by CD.Conclusions: CD induces RP in zebrafish by inhibiting pde6a post transcriptional activity via mmu mir 6240 p3 2. These findings have important implications for understanding the potential side effects of CD and for developing safer therapeutic strategies involving traditional Chinese medicines.					CD2	strain:not applicable\|isolate:not applicable\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|collection date:not applicable\|geo loc name:not applicable\|sex:not applicable\|tissue:not applicable\|treatment:Experiment group replicate2\|BioSampleModel:Model organism or animal									microRNA seq of Danio rerio: Experiment group	BXP 2	BXP 2				miRNA-Seq	TRANSCRIPTOMIC	RANDOM	SINGLE	ILLUMINA	Illumina NovaSeq 6000	SRP550004		BXP_2.fq.gz	fastq	644434827.0	12635977.0	BXP 2.fq.gz	0:51	A:151820167;C:153674905;G:190467723;T:148402934;N:69098	51		151820167	153674905	190467723	148402934	69098	SRX27004201	SRS23468964	SRA2029520	Heilongjiang University of Chinese Medicine\|College of Traditional Chinese Medicine	Heilongjiang University of Chinese Medicine							T	under 1.2% mapping rate	illumina	novaseq_era	unknown	random_priming	unknown	bulk	unknown	unknown	China	2024-12-07	Undetermined	Larval	Undetermined	Undetermined
37991	37991	SRR1265766	SRX529160	SRS598857	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Heart Replicate 3 sRNAseq	GSM1376649	source name:Heart\|tissue:Heart\|genetic background:Wild type Singapore strain	Heart Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Heart	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Heart\|genetic background:Wild type Singapore strain	GSM1376649	GSM1376649: Heart Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376649		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376649	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZH008_GATCAG_L005_R1.fastq.gz	fastq	4401229692.0	57910917.0	GSM1376649 r1	0:76	A:1009381958;C:1130057881;G:1173217392;T:1088123982;N:448479	76		1009381958	1130057881	1173217392	1088123982	448479	SRX529160	SRS598857	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00129	0.00046	0.99882	0.51351	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Heart	Cardiovascular System
37992	37992	SRR1265765	SRX529159	SRS598856	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Heart Replicate 2 sRNAseq	GSM1376648	source name:Heart\|tissue:Heart\|genetic background:Wild type Singapore strain	Heart Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Heart	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Heart\|genetic background:Wild type Singapore strain	GSM1376648	GSM1376648: Heart Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376648		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376648	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZH007_ACTTGA_L005_R1.fastq.gz	fastq	3202357508.0	42136283.0	GSM1376648 r1	0:76	A:666309720;C:845347679;G:846066601;T:844306103;N:327405	76		666309720	845347679	846066601	844306103	327405	SRX529159	SRS598856	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00042	3e-05	0.99924	0.56521	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Heart	Cardiovascular System
37993	37993	SRR1265764	SRX529158	SRS598855	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Heart Replicate 1 sRNAseq	GSM1376647	source name:Heart\|tissue:Heart\|genetic background:Wild type Singapore strain	Heart Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Heart	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Heart\|genetic background:Wild type Singapore strain	GSM1376647	GSM1376647: Heart Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376647		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376647	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZH002_CAGATC_L005_R1.fastq.gz	fastq	3777814232.0	49708082.0	GSM1376647 r1	0:76	A:791204432;C:1050679958;G:1001897360;T:933655799;N:376683	76		791204432	1050679958	1001897360	933655799	376683	SRX529158	SRS598855	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00034	4e-05	0.99943	0.62264	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Heart	Cardiovascular System
37994	37994	SRR1265763	SRX529157	SRS598854	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Eye Replicate 3 sRNAseq	GSM1376646	source name:Eye\|tissue:Eye\|genetic background:Wild type Singapore strain	Eye Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Eye	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Eye\|genetic background:Wild type Singapore strain	GSM1376646	GSM1376646: Eye Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376646		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376646	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZE014_GCCAAT_L005_R1.fastq.gz	fastq	299134784.0	3935984.0	GSM1376646 r1	0:76	A:62089027;C:82689882;G:78294122;T:76032871;N:28882	76		62089027	82689882	78294122	76032871	28882	SRX529157	SRS598854	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00078	8e-05	0.99892	0.66406	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Eye	Sensory System
37995	37995	SRR1265762	SRX529156	SRS598853	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Eye Replicate 2 sRNAseq	GSM1376645	source name:Eye\|tissue:Eye\|genetic background:Wild type Singapore strain	Eye Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Eye	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Eye\|genetic background:Wild type Singapore strain	GSM1376645	GSM1376645: Eye Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376645		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376645	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZE013_ACAGTG_L005_R1.fastq.gz	fastq	622465080.0	8190330.0	GSM1376645 r1	0:76	A:127621827;C:166524813;G:172833628;T:155425094;N:59718	76		127621827	166524813	172833628	155425094	59718	SRX529156	SRS598853	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00132	7e-05	0.99886	0.66956	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Eye	Sensory System
37996	37996	SRR1265761	SRX529155	SRS598852	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Eye Replicate 1 sRNAseq	GSM1376644	source name:Eye\|tissue:Eye\|genetic background:Wild type Singapore strain	Eye Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Eye	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Eye\|genetic background:Wild type Singapore strain	GSM1376644	GSM1376644: Eye Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376644		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376644	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZE008_TGACCA_L005_R1.fastq.gz	fastq	906617148.0	11929173.0	GSM1376644 r1	0:76	A:188700519;C:246755919;G:238402849;T:232669963;N:87898	76		188700519	246755919	238402849	232669963	87898	SRX529155	SRS598852	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00073	4e-05	0.9991	0.61788	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Eye	Sensory System
37997	37997	SRR1265760	SRX529154	SRS598851	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Testis Replicate 3 sRNAseq	GSM1376643	source name:Testis\|gender:male\|tissue:Testis\|genetic background:Wild type Singapore strain	Testis Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Testis	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Testis\|genetic background:Wild type Singapore strain	GSM1376643	GSM1376643: Testis Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376643		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376643	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZT004_GCCAAT_L004_R1.fastq.gz	fastq	1096387628.0	14426153.0	GSM1376643 r1	0:76	A:268706118;C:286539627;G:262643519;T:278353167;N:145197	76		268706118	286539627	262643519	278353167	145197	SRX529154	SRS598851	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00659	0.00333	0.99845	0.7331	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gonad	Reproductive System
37998	37998	SRR1265759	SRX529153	SRS598850	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Testis Replicate 2 sRNAseq	GSM1376642	source name:Testis\|gender:male\|tissue:Testis\|genetic background:Wild type Singapore strain	Testis Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Testis	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Testis\|genetic background:Wild type Singapore strain	GSM1376642	GSM1376642: Testis Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376642		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376642	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZT003_ACAGTG_L004_R1.fastq.gz	fastq	1562745896.0	20562446.0	GSM1376642 r1	0:76	A:381752411;C:387452090;G:395892335;T:397438930;N:210130	76		381752411	387452090	395892335	397438930	210130	SRX529153	SRS598850	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.01222	0.00651	0.99788	0.69591	76	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gonad	Reproductive System
37999	37999	SRR1265758	SRX529152	SRS598849	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Testis Replicate 1 sRNAseq	GSM1376641	source name:Testis\|gender:male\|tissue:Testis\|genetic background:Wild type Singapore strain	Testis Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Testis	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Testis\|genetic background:Wild type Singapore strain	GSM1376641	GSM1376641: Testis Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376641		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376641	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZT001_TGACCA_L004_R1.fastq.gz	fastq	1368892316.0	18011741.0	GSM1376641 r1	0:76	A:335715713;C:358829703;G:326742789;T:347419137;N:184974	76		335715713	358829703	326742789	347419137	184974	SRX529152	SRS598849	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00032	3e-05	0.99943	0.69387	76	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gonad	Reproductive System
38000	38000	SRR1265757	SRX529151	SRS598848	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Ovary Replicate 3 sRNAseq	GSM1376640	source name:Ovary\|gender:female\|tissue:Ovary\|genetic background:Wild type Singapore strain	Ovary Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Ovary	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Ovary\|genetic background:Wild type Singapore strain	GSM1376640	GSM1376640: Ovary Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376640		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376640	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZO006_GATCAG_L008_R1.fastq.gz	fastq	1411005984.0	27666784.0	GSM1376640 r1	0:51	A:326542153;C:314421825;G:411019622;T:358847379;N:175005	51		326542153	314421825	411019622	358847379	175005	SRX529151	SRS598848	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00638	0.00068	0.99513	0.75483	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gonad	Reproductive System
38001	38001	SRR1265756	SRX529150	SRS598847	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Ovary Replicate 2 sRNAseq	GSM1376639	source name:Ovary\|gender:female\|tissue:Ovary\|genetic background:Wild type Singapore strain	Ovary Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Ovary	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Ovary\|genetic background:Wild type Singapore strain	GSM1376639	GSM1376639: Ovary Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376639		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376639	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZO005_ACTTGA_L008_R1.fastq.gz	fastq	765419424.0	15008224.0	GSM1376639 r1	0:51	A:179455664;C:170237021;G:221342071;T:194287721;N:96947	51		179455664	170237021	221342071	194287721	96947	SRX529150	SRS598847	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.02512	0.00355	0.98212	0.67744	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gonad	Reproductive System
38002	38002	SRR1265755	SRX529149	SRS598846	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Ovary Replicate 1 sRNAseq	GSM1376638	source name:Ovary\|gender:female\|tissue:Ovary\|genetic background:Wild type Singapore strain	Ovary Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Ovary	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Ovary\|genetic background:Wild type Singapore strain	GSM1376638	GSM1376638: Ovary Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376638		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376638	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZO004_CAGATC_L008_R1.fastq.gz	fastq	487558674.0	9559974.0	GSM1376638 r1	0:51	A:114833813;C:108951811;G:140408702;T:123302557;N:61791	51		114833813	108951811	140408702	123302557	61791	SRX529149	SRS598846	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00298	0.0004	0.99644	0.84584	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gonad	Reproductive System
38003	38003	SRR1265754	SRX529148	SRS598845	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Liver Replicate 3 sRNAseq	GSM1376637	source name:Female Liver\|gender:female\|tissue:Liver\|genetic background:Wild type Singapore strain	Female Liver Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Liver	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Liver\|genetic background:Wild type Singapore strain	GSM1376637	GSM1376637: Female Liver Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376637		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376637	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZL012_GCCAAT_L008_R1.fastq.gz	fastq	105717543.0	2072893.0	GSM1376637 r1	0:51	A:22408978;C:25732405;G:31681641;T:25880225;N:14294	51		22408978	25732405	31681641	25880225	14294	SRX529148	SRS598845	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.05572	0.0017	0.99691	0.56539	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Liver	Liver and Biliary System
38004	38004	SRR1265753	SRX529147	SRS598844	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Liver Replicate 2 sRNAseq	GSM1376636	source name:Female Liver\|gender:female\|tissue:Liver\|genetic background:Wild type Singapore strain	Female Liver Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Liver	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Liver\|genetic background:Wild type Singapore strain	GSM1376636	GSM1376636: Female Liver Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376636		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376636	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZL011_ACAGTG_L008_R1.fastq.gz	fastq	484614546.0	9502246.0	GSM1376636 r1	0:51	A:98373224;C:113894197;G:148444486;T:123841427;N:61212	51		98373224	113894197	148444486	123841427	61212	SRX529147	SRS598844	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.01517	0.00112	0.9964	0.61558	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Liver	Liver and Biliary System
38005	38005	SRR1265752	SRX529146	SRS598843	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Liver Replicate 1 sRNAseq	GSM1376635	source name:Female Liver\|gender:female\|tissue:Liver\|genetic background:Wild type Singapore strain	Female Liver Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Liver	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Liver\|genetic background:Wild type Singapore strain	GSM1376635	GSM1376635: Female Liver Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376635		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376635	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZL010_TGACCA_L008_R1.fastq.gz	fastq	304949706.0	5979406.0	GSM1376635 r1	0:51	A:62732698;C:71083849;G:92267430;T:78825237;N:40492	51		62732698	71083849	92267430	78825237	40492	SRX529146	SRS598843	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.01218	0.001	0.99709	0.55264	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Liver	Liver and Biliary System
38006	38006	SRR1265751	SRX529145	SRS598842	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Liver Replicate 3 sRNAseq	GSM1376634	source name:Male Liver\|gender:male\|tissue:Liver\|genetic background:Wild type Singapore strain	Male Liver Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Liver	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Liver\|genetic background:Wild type Singapore strain	GSM1376634	GSM1376634: Male Liver Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376634		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376634	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZL009_GATCAG_L007_R1.fastq.gz	fastq	287383266.0	5634966.0	GSM1376634 r1	0:51	A:54829818;C:73200212;G:89994996;T:69332773;N:25467	51		54829818	73200212	89994996	69332773	25467	SRX529145	SRS598842	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00273	0.00026	0.99791	0.69537	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Liver	Liver and Biliary System
38007	38007	SRR1265750	SRX529144	SRS598841	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Liver Replicate 2 sRNAseq	GSM1376633	source name:Male Liver\|gender:male\|tissue:Liver\|genetic background:Wild type Singapore strain	Male Liver Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Liver	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Liver\|genetic background:Wild type Singapore strain	GSM1376633	GSM1376633: Male Liver Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376633		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376633	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZL008_ACTTGA_L007_R1.fastq.gz	fastq	595761753.0	11681603.0	GSM1376633 r1	0:51	A:111507488;C:155297338;G:186229891;T:142672923;N:54113	51		111507488	155297338	186229891	142672923	54113	SRX529144	SRS598841	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00597	0.00067	0.99679	0.72807	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Liver	Liver and Biliary System
38008	38008	SRR1265749	SRX529143	SRS598840	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Liver Replicate 1 sRNAseq	GSM1376632	source name:Male Liver\|gender:male\|tissue:Liver\|genetic background:Wild type Singapore strain	Male Liver Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Liver	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Liver\|genetic background:Wild type Singapore strain	GSM1376632	GSM1376632: Male Liver Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376632		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376632	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZL007_CAGATC_L007_R1.fastq.gz	fastq	976402599.0	19145149.0	GSM1376632 r1										SRX529143	SRS598840	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00348	0.00035	0.99742	0.69292	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Liver	Liver and Biliary System
38009	38009	SRR1265748	SRX529142	SRS598839	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Gut Replicate 3 sRNAseq	GSM1376631	source name:Female Gut\|gender:female\|tissue:Gut\|genetic background:Wild type Singapore strain	Female Gut Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Gut	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Gut\|genetic background:Wild type Singapore strain	GSM1376631	GSM1376631: Female Gut Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376631		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376631	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZG012_TTAGGC_L008_R1.fastq.gz	fastq	425902173.0	8351023.0	GSM1376631 r1	0:51	A:85733692;C:98728458;G:130104130;T:111282282;N:53611	51		85733692	98728458	130104130	111282282	53611	SRX529142	SRS598839	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00598	0.00074	0.99565	0.68818	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gut	Digestive System
38010	38010	SRR1265747	SRX529141	SRS598838	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Gut Replicate 2 sRNAseq	GSM1376630	source name:Female Gut\|gender:female\|tissue:Gut\|genetic background:Wild type Singapore strain	Female Gut Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Gut	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Gut\|genetic background:Wild type Singapore strain	GSM1376630	GSM1376630: Female Gut Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376630		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376630	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZG011_CGATGT_L008_R1.fastq.gz	fastq	464997192.0	9117592.0	GSM1376630 r1	0:51	A:94817360;C:107530735;G:141688278;T:120903676;N:57143	51		94817360	107530735	141688278	120903676	57143	SRX529141	SRS598838	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00297	0.00033	0.9975	0.62721	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gut	Digestive System
38011	38011	SRR1265746	SRX529140	SRS598837	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Gut Replicate 1 sRNAseq	GSM1376629	source name:Female Gut\|gender:female\|tissue:Gut\|genetic background:Wild type Singapore strain	Female Gut Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Gut	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Gut\|genetic background:Wild type Singapore strain	GSM1376629	GSM1376629: Female Gut Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376629		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376629	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZG010_ATCACG_L008_R1.fastq.gz	fastq	798808308.0	15662908.0	GSM1376629 r1	0:51	A:163944400;C:183125028;G:240040726;T:211597768;N:100386	51		163944400	183125028	240040726	211597768	100386	SRX529140	SRS598837	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.01106	0.00122	0.99466	0.66862	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gut	Digestive System
38012	38012	SRR1265745	SRX529139	SRS598836	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Gut Replicate 3 sRNAseq	GSM1376628	source name:Male Gut\|gender:male\|tissue:Gut\|genetic background:Wild type Singapore strain	Male Gut Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Gut	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Gut\|genetic background:Wild type Singapore strain	GSM1376628	GSM1376628: Male Gut Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376628		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376628	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZG009_GCCAAT_L007_R1.fastq.gz	fastq	224291778.0	4397878.0	GSM1376628 r1	0:51	A:45043664;C:58692343;G:66840019;T:53695301;N:20451	51		45043664	58692343	66840019	53695301	20451	SRX529139	SRS598836	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.0015	0.00021	0.99829	0.69477	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gut	Digestive System
38013	38013	SRR1265743	SRX529138	SRS598835	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Gut Replicate 1 sRNAseq	GSM1376626	source name:Male Gut\|gender:male\|tissue:Gut\|genetic background:Wild type Singapore strain	Male Gut Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Gut	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Gut\|genetic background:Wild type Singapore strain	GSM1376626	GSM1376626: Male Gut Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376626		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376626	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZG007_TGACCA_L007_R1.fastq.gz	fastq	1058961552.0	20763952.0	GSM1376626 r1	0:51	A:205056709;C:273349362;G:322710601;T:257753257;N:91623	51		205056709	273349362	322710601	257753257	91623	SRX529138	SRS598835	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00382	0.00043	0.99746	0.683	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gut	Digestive System
38014	38014	SRR1265742	SRX529137	SRS598834	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Brain Replicate 3 sRNAseq	GSM1376625	source name:Female Brain\|gender:female\|tissue:Brain\|genetic background:Wild type Singapore strain	Female Brain Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Brain	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Brain\|genetic background:Wild type Singapore strain	GSM1376625	GSM1376625: Female Brain Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376625		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376625	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZB012_CTTGTA_L007_R1.fastq.gz	fastq	657620928.0	12894528.0	GSM1376625 r1	0:51	A:127428594;C:157315630;G:203096060;T:169719399;N:61245	51		127428594	157315630	203096060	169719399	61245	SRX529137	SRS598834	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.01165	0.00109	0.99622	0.72322	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Brain	Nervous System
38015	38015	SRR1265741	SRX529136	SRS598833	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Brain Replicate 2 sRNAseq	GSM1376624	source name:Female Brain\|gender:female\|tissue:Brain\|genetic background:Wild type Singapore strain	Female Brain Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Brain	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Brain\|genetic background:Wild type Singapore strain	GSM1376624	GSM1376624: Female Brain Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376624		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376624	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZB011_GGCTAC_L007_R1.fastq.gz	fastq	197790903.0	3878253.0	GSM1376624 r1	0:51	A:39219508;C:48781853;G:60339090;T:49430999;N:19453	51		39219508	48781853	60339090	49430999	19453	SRX529136	SRS598833	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00227	0.00019	0.99835	0.67164	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Brain	Nervous System
38016	38016	SRR1265740	SRX529135	SRS598832	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Female Brain Replicate 1 sRNAseq	GSM1376623	source name:Female Brain\|gender:female\|tissue:Brain\|genetic background:Wild type Singapore strain	Female Brain Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Female Brain	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Female\|tissue:Brain\|genetic background:Wild type Singapore strain	GSM1376623	GSM1376623: Female Brain Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376623		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376623	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZB010_TAGCTT_L007_R1.fastq.gz	fastq	127765710.0	2505210.0	GSM1376623 r1	0:51	A:24845648;C:31103830;G:38874684;T:32929436;N:12112	51		24845648	31103830	38874684	32929436	12112	SRX529135	SRS598832	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.02647	0.00307	0.99368	0.59472	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Brain	Nervous System
38017	38017	SRR1265739	SRX529134	SRS598831	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Brain Replicate 3 sRNAseq	GSM1376622	source name:Male Brain\|gender:male\|tissue:Brain\|genetic background:Wild type Singapore strain	Male Brain Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Brain	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Brain\|genetic background:Wild type Singapore strain	GSM1376622	GSM1376622: Male Brain Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376622		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376622	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZB009_TTAGGC_L007_R1.fastq.gz	fastq	749856876.0	14703076.0	GSM1376622 r1	0:51	A:142133111;C:197021938;G:231006890;T:179625504;N:69433	51		142133111	197021938	231006890	179625504	69433	SRX529134	SRS598831	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00196	0.00026	0.99843	0.64615	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Brain	Nervous System
38018	38018	SRR1265738	SRX529133	SRS598830	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Brain Replicate 2 sRNAseq	GSM1376621	source name:Male Brain\|gender:male\|tissue:Brain\|genetic background:Wild type Singapore strain	Male Brain Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Brain	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Brain\|genetic background:Wild type Singapore strain	GSM1376621	GSM1376621: Male Brain Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376621		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376621	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZB008_CGATGT_L007_R1.fastq.gz	fastq	394620558.0	7737658.0	GSM1376621 r1	0:51	A:68213140;C:110690478;G:127130285;T:88550429;N:36226	51		68213140	110690478	127130285	88550429	36226	SRX529133	SRS598830	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.06427	0.00768	0.98859	0.77971	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Brain	Nervous System
38019	38019	SRR1265737	SRX529132	SRS598829	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Brain Replicate 1 sRNAseq	GSM1376620	source name:Male Brain\|gender:male\|tissue:Brain\|genetic background:Wild type Singapore strain	Male Brain Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Brain	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Brain\|genetic background:Wild type Singapore strain	GSM1376620	GSM1376620: Male Brain Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376620		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376620	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZB007_ATCACG_L007_R1.fastq.gz	fastq	329742489.0	6465539.0	GSM1376620 r1	0:51	A:60032454;C:91021987;G:104188224;T:74471433;N:28391	51		60032454	91021987	104188224	74471433	28391	SRX529132	SRS598829	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00994	0.00098	0.99738	0.77713	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Brain	Nervous System
38020	38020	SRR1265736	SRX529131	SRS598827	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Embryo Replicate 3 sRNAseq	GSM1376619	source name:Embryo\|tissue:Embryo\|genetic background:Wild type Singapore strain	Embryo Replicate 3 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Embryo	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Embryo\|genetic background:Wild type Singapore strain	GSM1376619	GSM1376619: Embryo Replicate 3 sRNAseq; Danio rerio; miRNA Seq	GSM1376619		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376619	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZE006_CTTGTA_L008_R1.fastq.gz	fastq	1714180635.0	33611385.0	GSM1376619 r1	0:51	A:338559677;C:431494863;G:537012008;T:406904091;N:209996	51		338559677	431494863	537012008	406904091	209996	SRX529131	SRS598827	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.09044	0.01776	0.97782	0.77023	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
38021	38021	SRR1265735	SRX529130	SRS598828	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Embryo Replicate 2 sRNAseq	GSM1376618	source name:Embryo\|tissue:Embryo\|genetic background:Wild type Singapore strain	Embryo Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Embryo	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Embryo\|genetic background:Wild type Singapore strain	GSM1376618	GSM1376618: Embryo Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376618		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376618	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZE005_GGCTAC_L008_R1.fastq.gz	fastq	736486002.0	14440902.0	GSM1376618 r1	0:51	A:145757737;C:194417932;G:231157927;T:165060763;N:91643	51		145757737	194417932	231157927	165060763	91643	SRX529130	SRS598828	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.01133	0.00234	0.99515	0.73854	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
38022	38022	SRR1265734	SRX529129	SRS598825	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Embryo Replicate 1 sRNAseq	GSM1376617	source name:Embryo\|tissue:Embryo\|genetic background:Wild type Singapore strain	Embryo Replicate 1 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Embryo	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	tissue:Embryo\|genetic background:Wild type Singapore strain	GSM1376617	GSM1376617: Embryo Replicate 1 sRNAseq; Danio rerio; miRNA Seq	GSM1376617		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376617	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZE004_TAGCTT_L008_R1.fastq.gz	fastq	477426912.0	9361312.0	GSM1376617 r1	0:51	A:93534991;C:123428376;G:148877677;T:111524753;N:61115	51		93534991	123428376	148877677	111524753	61115	SRX529129	SRS598825	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.02061	0.00461	0.99379	0.8448	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
38023	38023	SRR1265744	SRX529128	SRS598826	SRP041544	PRJNA245824	Deep sequencing of small RNA facilitates tissue and sex associated microRNA discovery in zebrafish	GSE57169	Transcriptome Analysis	The role of microRNAs in gene regulation has been well established. The extent of miRNA regulation also increases with increasing genome complexity. Though the number of genes appear to be equal between human and zebrafish substantially less microRNAs have been discovered in zebrafish compared to human Release 19. It appears that most of the miRNAs in zebrafish are yet to be discovered. We sequenced small RNAs from brain gut liver ovary testis eye heart and embryo of zebrafish. In brain gut and liver sequencing was done in male and female separately. Majority of the sequenced reads 16 62% mapped to known miRNAs with the exception of ovary 5.7% and testis 7.8%. Using the miRNA discovery tool miRDeep2 we discovered novel miRNAs from the un annotated reads that ranged from 7.6 to 23.0% with exceptions of ovary 51.4% and testis 55.2%. The prediction tool identified a total of 459 novel pre miRNAs. We compared expression of miRNAs between different tissues and between males and females to identify tissue associated and sex associated miRNAs respectively. These miRNAs could serve as putative biomarkers for these tissues. The brain and liver had highest number of tissue associated 22 and sex associated 34 miRNAs respectively. This study comprehensively identifies tissue and sex associated miRNAs in zebrafish. Further we have discovered 459 novel pre miRNAs 30% seed homology to human miRNA as a genomic resource which can facilitate further investigations to understand miRNA mRNA gene regulatory networks in zebrafish which will have implications in understanding the function of human homologs. Overall design: Known miRNA profiling novel miRNA discovery and identification of tissue associated and sex associated miRNAs from sRNA deep sequencing data of different tissues and embryo of zebrafish in triplicate was carried out using the Illumina HiSeq 2000 platform.		pubmed:26574018		Male Gut Replicate 2 sRNAseq	GSM1376627	source name:Male Gut\|gender:male\|tissue:Gut\|genetic background:Wild type Singapore strain	Male Gut Replicate 2 sRNAseq	Illumina Casava 1.8.2 software used for basecalling. The sequenced reads were first subjected to adapter removal through the cutadapt program Martin 2011. The trimmed reads were then collapsed to remove redundancy and to obtain a unique sequence fasta file through the mapper module of miRDeep2 package Friedländer et al. 2012. The unique reads fasta file was then put through an elimination pipeline module Vaz et al. 2010 comprising of a series of sequence similarity searches with the annotated databases. At each step the reads were matched to an annotated database with a maximum of two mismatches. The matched reads were removed and the unmatched ones were further matched to another annotated database finally culminating into an un annotated pool of reads that served as a source of novel miRNAs and novel sRNAs. The known miRNA expression profile was generated by using the quantifier module of the miRDeep2 package that gives the read counts for the known miRNAs. The quantifier.pl command line used: perl quantifier.pl p <zebrafish precursor miRNA fasta file> m <zebrafish mature miRNA fasta file> r <unique reads fasta file> t Zebrafish The raw reads expression profile generated for all the replicates of the samples were subjected to Trimmed Mean of M values TMM normalisation using the Bioconductor package edgeR Robinson et al. 2010. Genome build: ZV9 Supplementary files format and content: 1. 'Danio rerio known miRNA Rel19 profile Raw.txt': Tab delimited text file that includes the raw counts for the known mature miRNA miRBase Release 19. Supplementary files format and content: 2. 'Danio rerio known miRNA Rel19 profile Normalised.txt': Tab delimited text file that includes the Trimmed Mean of M values TMM normalised counts for the known mature miRNA miRBase Release 19. One of the replicate of Heart MZH008 failed to cluster with the other two replicates on basis of its known miRNA expression profile and hence was not used for further analysis.	Male Gut	N/A	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	Fishes were purchased from a local supplier and acclimatized before tissue extraction.	gender:Male\|tissue:Gut\|genetic background:Wild type Singapore strain	GSM1376627	GSM1376627: Male Gut Replicate 2 sRNAseq; Danio rerio; miRNA Seq	GSM1376627		1	Total RNA were extracted using mirVana™ miRNA Isolation Kit AM1560 Life Technologies. Tissues were homogenised in 1.5 ml microfuge tube containing Lysis/Binding buffer provided in the mirVana™ miRNA Isolation using a hand held pestle. Total RNA containing small RNA were purified following the manufacturer protocol. Small RNA libraries were prepared for sequencing using TruSeq Small RNA Sample Preparation Kit RS 200 0012 Illumina Inc.. Libraries were prepared according to manufacturer instructions. Briefly 1µg of good quality Total RNA per sample was used as starting material. 5’ and 3’ RNA adapters were ligated to each RNA molecule before reverse transcription to create single stranded cDNA. The cDNA was then amplified with PCR using a common primer and a primer containing a unique index sequence. The resulting PCR reactions were electrophoresed on 6% Novex TBE PAGE Gel Life Technologies and bands corresponding to adapter ligated constructs derived from 22 30 nucleotides small RNA fragments were excised from the gel. The small RNA were purified from the excised gel and validated on High Sensitivity DNA chips on a Bioanalyser Agilent Technologies before sequencing.	GEO Accession:GSM1376627	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP041544		MZG008_ACAGTG_L007_R1.fastq.gz	fastq	541064457.0	10609107.0	GSM1376627 r1	0:51	A:104798947;C:136927266;G:166713427;T:132575036;N:49781	51		104798947	136927266	166713427	132575036	49781	SRX529128	SRS598826	SRA160430	GEO	Expression and Signaling in Mesenchymal and Hematopoietic Stem Cells, Genome and Gene Expression Data Analysis Division, Bioinformatics Institute, A*STAR, Singapore	1	0.00679	0.00072	0.99655	0.72132	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	Singapore	2014-04-29	Undetermined	Embryo	Gut	Digestive System
38253	38253	SRR1593716	SRX718002	SRS713862	SRP048545	PRJNA262696	Adenylation of maternally inherited microRNAs by Wispy	GSE61931	Other	Early development depends heavily on accurate control of maternally inherited mRNAs and yet it remains unknown how maternal microRNAs miRNAs are regulated during maternal to zygotic transition MZT. We here find that maternal miRNAs are highly adenylated at their three prime ends in mature oocytes and early embryos. Pervasive adenylation is observed in oocytes of fly sea urchin and mouse indicating that maternal miRNA adenylation may be widely conserved in animals. We identify Wispy as the enzyme responsible for miRNA adenylation in flies. Wispy is known to be expressed specifically in oocytes and early embryos and function as a noncanonical polyA polymerase. Knockout of wispy abrogates miRNA adenylation and induces miRNA accumulation in fly eggs whereas overexpression of Wispy increases adenylation and reduces miRNA levels in S2 cells. Adenylation occurs on both the 5p and 3p miRNAs indicating that Wispy acts on miRNAs post Dicer processing. We further find that Wispy interacts with Ago1 through protein protein interaction which may allow the effective and selective adenylation of miRNAs. Thus adenylation may contribute to the clearance of maternally deposited miRNAs during MZT. Our work provides the first mechanistic insights into the regulation of maternal miRNAs and illustrates the importance of RNA tailing in development. Overall design: MiRNA expression and modification profile during early embryo development of fruit fly and zebra fish using high throughput sequencing		pubmed:25454948		Zeb fish Emb t 30m	GSM1517417	tissue:embryo\|genotype/variation:WT\|developmental stage:embryo 30m	Zeb fish Emb t 30m	The base calling was done by Illumina Pipeline CASAVA v1.8.2. The 3′ adaptor sequences starting with “TGGAATTC” were removed and the sequence reads with short length <16 nt or artifacts e.g. long homopolymer or low quality Phred quality <30 in >15% of nucleotides were filtered out using the FASTX Toolkit http://hannonlab.cshl.edu/fastx toolkit/. Filtered sequence reads from Drosophila melanogaster and Danio rerio were aligned to dm3 and danRer7 reference genomes from UCSC respectively. The BWA short read aligner Li and Durbin 2009 version 0.7.5a r405 was used for the alignment with options of ‘18nt long seed length’ and ‘no allowed mismatches in the seed region. Each aligned read was classified using intersectBed in Bedtools Quinlan and Hall 2010 with annotations retrieved from RefSeq GtRNAdb FlyBase RepeatMasker Rfam and miRBase. We collected reads that perfectly match to the mature miRNA sequences annotated in miRBase as well as those that have 3’ additions to the perfectly matching sequences. Sample wise normalization of miRNA read counts was done by TMM normalization Robinson and Oshlack 2010 using edgR package http://www.bioconductor.org/packages/release/bioc/html/edgeR.html. Genome build: dm3 GCF 000001215.2; danRer7 GCA 000002035.2 Supplementary files format and content: *.classcount.csv : comma separated files containing sequencing statistics. Column class indicates each class of RNA. Column reads indicates number of sequence reads mapped on each class of RNA. Column proportion indicates the read count proportion to the total pre processed reads of each class of RNA; dme miRNA TMM.csv : comma separated files containing expression level of miRNAs normalized by TMM. Column hairpin indicates name of each mature miRNA. Rest of the columns indicates the normalized expression levels of each mature miRNA in each sample.	embryo		Small RNA cDNA libraries were generated using TruSeq small RNA sample preparation kit Illumina according to manufacturer’s guide. For each library 10 ug of total RNA was separated on 15% urea PAGE. RNA of 15 29 nt was gel purified and then ligated to the 3’ adaptor with T4 RNA ligase2 truncated NEB. post gel purification of 3’ adaptor ligated RNA the 5’ adaptor ligation was performed using T4 RNA ligase1. The ligation product was reverse transcribed by SuperScript II Life Technologies and amplified by PCR with Phusion DNA polymerase. The cDNA libraries were sequenced by HiSeq 2000 or HiSeq 2500. Total RNA was extracted using TRIzol reagent for each experimental condition.		genotype/variation:WT\|developmental stage:embryo 30m	GSM1517417	GSM1517417: Zeb fish Emb t 30m; Danio rerio; miRNA Seq	GSM1517417		1	Small RNA cDNA libraries were generated using TruSeq small RNA sample preparation kit Illumina according to manufacturer’s guide. For each library 10 ug of total RNA was separated on 15% urea PAGE. RNA of 15 29 nt was gel purified and then ligated to the 3’ adaptor with T4 RNA ligase2 truncated NEB. post gel purification of 3’ adaptor ligated RNA the 5’ adaptor ligation was performed using T4 RNA ligase1. The ligation product was reverse transcribed by SuperScript II Life Technologies and amplified by PCR with Phusion DNA polymerase. The cDNA libraries were sequenced by HiSeq 2000 or HiSeq 2500. Total RNA was extracted using TRIzol reagent for each experimental condition.	GEO Accession:GSM1517417	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP048545		Zeb_fish_Emb_t_30m_1.fastq.gz	fastq	3380715591.0	66288541.0	GSM1517417 r1	0:51	A:854040134;C:726173965;G:952338238;T:848081062;N:82192	51		854040134	726173965	952338238	848081062	82192	SRX718002	SRS713862	SRA188351	GEO	Narry Kim Lab, School of Biological Sciences, Seoul National University	1	1e-05	0.0	0.99997	1.0	51	T	under 1.2% mapping rate	illumina	hiseq_era	3prime	size_fractionation	trueseq	bulk	unknown	unknown	South Korea	2014-09-30	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
38254	38254	SRR1593715	SRX718001	SRS713861	SRP048545	PRJNA262696	Adenylation of maternally inherited microRNAs by Wispy	GSE61931	Other	Early development depends heavily on accurate control of maternally inherited mRNAs and yet it remains unknown how maternal microRNAs miRNAs are regulated during maternal to zygotic transition MZT. We here find that maternal miRNAs are highly adenylated at their three prime ends in mature oocytes and early embryos. Pervasive adenylation is observed in oocytes of fly sea urchin and mouse indicating that maternal miRNA adenylation may be widely conserved in animals. We identify Wispy as the enzyme responsible for miRNA adenylation in flies. Wispy is known to be expressed specifically in oocytes and early embryos and function as a noncanonical polyA polymerase. Knockout of wispy abrogates miRNA adenylation and induces miRNA accumulation in fly eggs whereas overexpression of Wispy increases adenylation and reduces miRNA levels in S2 cells. Adenylation occurs on both the 5p and 3p miRNAs indicating that Wispy acts on miRNAs post Dicer processing. We further find that Wispy interacts with Ago1 through protein protein interaction which may allow the effective and selective adenylation of miRNAs. Thus adenylation may contribute to the clearance of maternally deposited miRNAs during MZT. Our work provides the first mechanistic insights into the regulation of maternal miRNAs and illustrates the importance of RNA tailing in development. Overall design: MiRNA expression and modification profile during early embryo development of fruit fly and zebra fish using high throughput sequencing		pubmed:25454948		Zeb fish Emb t 10m	GSM1517416	tissue:embryo\|genotype/variation:WT\|developmental stage:embryo 10m	Zeb fish Emb t 10m	The base calling was done by Illumina Pipeline CASAVA v1.8.2. The 3′ adaptor sequences starting with “TGGAATTC” were removed and the sequence reads with short length <16 nt or artifacts e.g. long homopolymer or low quality Phred quality <30 in >15% of nucleotides were filtered out using the FASTX Toolkit http://hannonlab.cshl.edu/fastx toolkit/. Filtered sequence reads from Drosophila melanogaster and Danio rerio were aligned to dm3 and danRer7 reference genomes from UCSC respectively. The BWA short read aligner Li and Durbin 2009 version 0.7.5a r405 was used for the alignment with options of ‘18nt long seed length’ and ‘no allowed mismatches in the seed region. Each aligned read was classified using intersectBed in Bedtools Quinlan and Hall 2010 with annotations retrieved from RefSeq GtRNAdb FlyBase RepeatMasker Rfam and miRBase. We collected reads that perfectly match to the mature miRNA sequences annotated in miRBase as well as those that have 3’ additions to the perfectly matching sequences. Sample wise normalization of miRNA read counts was done by TMM normalization Robinson and Oshlack 2010 using edgR package http://www.bioconductor.org/packages/release/bioc/html/edgeR.html. Genome build: dm3 GCF 000001215.2; danRer7 GCA 000002035.2 Supplementary files format and content: *.classcount.csv : comma separated files containing sequencing statistics. Column class indicates each class of RNA. Column reads indicates number of sequence reads mapped on each class of RNA. Column proportion indicates the read count proportion to the total pre processed reads of each class of RNA; dme miRNA TMM.csv : comma separated files containing expression level of miRNAs normalized by TMM. Column hairpin indicates name of each mature miRNA. Rest of the columns indicates the normalized expression levels of each mature miRNA in each sample.	embryo		Small RNA cDNA libraries were generated using TruSeq small RNA sample preparation kit Illumina according to manufacturer’s guide. For each library 10 ug of total RNA was separated on 15% urea PAGE. RNA of 15 29 nt was gel purified and then ligated to the 3’ adaptor with T4 RNA ligase2 truncated NEB. post gel purification of 3’ adaptor ligated RNA the 5’ adaptor ligation was performed using T4 RNA ligase1. The ligation product was reverse transcribed by SuperScript II Life Technologies and amplified by PCR with Phusion DNA polymerase. The cDNA libraries were sequenced by HiSeq 2000 or HiSeq 2500. Total RNA was extracted using TRIzol reagent for each experimental condition.		genotype/variation:WT\|developmental stage:embryo 10m	GSM1517416	GSM1517416: Zeb fish Emb t 10m; Danio rerio; miRNA Seq	GSM1517416		1	Small RNA cDNA libraries were generated using TruSeq small RNA sample preparation kit Illumina according to manufacturer’s guide. For each library 10 ug of total RNA was separated on 15% urea PAGE. RNA of 15 29 nt was gel purified and then ligated to the 3’ adaptor with T4 RNA ligase2 truncated NEB. post gel purification of 3’ adaptor ligated RNA the 5’ adaptor ligation was performed using T4 RNA ligase1. The ligation product was reverse transcribed by SuperScript II Life Technologies and amplified by PCR with Phusion DNA polymerase. The cDNA libraries were sequenced by HiSeq 2000 or HiSeq 2500. Total RNA was extracted using TRIzol reagent for each experimental condition.	GEO Accession:GSM1517416	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP048545		Zeb_fish_Emb_t_10m_1.fastq.gz	fastq	3339395697.0	65478347.0	GSM1517416 r1	0:51	A:847877403;C:714050198;G:934084609;T:843302102;N:81385	51		847877403	714050198	934084609	843302102	81385	SRX718001	SRS713861	SRA188351	GEO	Narry Kim Lab, School of Biological Sciences, Seoul National University	1	0.0	0.0	1.0		51	T	under 1.2% mapping rate	illumina	hiseq_era	3prime	size_fractionation	trueseq	bulk	unknown	unknown	South Korea	2014-09-30	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
38255	38255	SRR1593714	SRX718000	SRS713860	SRP048545	PRJNA262696	Adenylation of maternally inherited microRNAs by Wispy	GSE61931	Other	Early development depends heavily on accurate control of maternally inherited mRNAs and yet it remains unknown how maternal microRNAs miRNAs are regulated during maternal to zygotic transition MZT. We here find that maternal miRNAs are highly adenylated at their three prime ends in mature oocytes and early embryos. Pervasive adenylation is observed in oocytes of fly sea urchin and mouse indicating that maternal miRNA adenylation may be widely conserved in animals. We identify Wispy as the enzyme responsible for miRNA adenylation in flies. Wispy is known to be expressed specifically in oocytes and early embryos and function as a noncanonical polyA polymerase. Knockout of wispy abrogates miRNA adenylation and induces miRNA accumulation in fly eggs whereas overexpression of Wispy increases adenylation and reduces miRNA levels in S2 cells. Adenylation occurs on both the 5p and 3p miRNAs indicating that Wispy acts on miRNAs post Dicer processing. We further find that Wispy interacts with Ago1 through protein protein interaction which may allow the effective and selective adenylation of miRNAs. Thus adenylation may contribute to the clearance of maternally deposited miRNAs during MZT. Our work provides the first mechanistic insights into the regulation of maternal miRNAs and illustrates the importance of RNA tailing in development. Overall design: MiRNA expression and modification profile during early embryo development of fruit fly and zebra fish using high throughput sequencing		pubmed:25454948		Zeb fish Emb t 0m	GSM1517415	tissue:egg\|genotype/variation:WT\|developmental stage:embryo 0m	Zeb fish Emb t 0m	The base calling was done by Illumina Pipeline CASAVA v1.8.2. The 3′ adaptor sequences starting with “TGGAATTC” were removed and the sequence reads with short length <16 nt or artifacts e.g. long homopolymer or low quality Phred quality <30 in >15% of nucleotides were filtered out using the FASTX Toolkit http://hannonlab.cshl.edu/fastx toolkit/. Filtered sequence reads from Drosophila melanogaster and Danio rerio were aligned to dm3 and danRer7 reference genomes from UCSC respectively. The BWA short read aligner Li and Durbin 2009 version 0.7.5a r405 was used for the alignment with options of ‘18nt long seed length’ and ‘no allowed mismatches in the seed region. Each aligned read was classified using intersectBed in Bedtools Quinlan and Hall 2010 with annotations retrieved from RefSeq GtRNAdb FlyBase RepeatMasker Rfam and miRBase. We collected reads that perfectly match to the mature miRNA sequences annotated in miRBase as well as those that have 3’ additions to the perfectly matching sequences. Sample wise normalization of miRNA read counts was done by TMM normalization Robinson and Oshlack 2010 using edgR package http://www.bioconductor.org/packages/release/bioc/html/edgeR.html. Genome build: dm3 GCF 000001215.2; danRer7 GCA 000002035.2 Supplementary files format and content: *.classcount.csv : comma separated files containing sequencing statistics. Column class indicates each class of RNA. Column reads indicates number of sequence reads mapped on each class of RNA. Column proportion indicates the read count proportion to the total pre processed reads of each class of RNA; dme miRNA TMM.csv : comma separated files containing expression level of miRNAs normalized by TMM. Column hairpin indicates name of each mature miRNA. Rest of the columns indicates the normalized expression levels of each mature miRNA in each sample.	egg		Small RNA cDNA libraries were generated using TruSeq small RNA sample preparation kit Illumina according to manufacturer’s guide. For each library 10 ug of total RNA was separated on 15% urea PAGE. RNA of 15 29 nt was gel purified and then ligated to the 3’ adaptor with T4 RNA ligase2 truncated NEB. post gel purification of 3’ adaptor ligated RNA the 5’ adaptor ligation was performed using T4 RNA ligase1. The ligation product was reverse transcribed by SuperScript II Life Technologies and amplified by PCR with Phusion DNA polymerase. The cDNA libraries were sequenced by HiSeq 2000 or HiSeq 2500. Total RNA was extracted using TRIzol reagent for each experimental condition.		genotype/variation:WT\|developmental stage:embryo 0m	GSM1517415	GSM1517415: Zeb fish Emb t 0m; Danio rerio; miRNA Seq	GSM1517415		1	Small RNA cDNA libraries were generated using TruSeq small RNA sample preparation kit Illumina according to manufacturer’s guide. For each library 10 ug of total RNA was separated on 15% urea PAGE. RNA of 15 29 nt was gel purified and then ligated to the 3’ adaptor with T4 RNA ligase2 truncated NEB. post gel purification of 3’ adaptor ligated RNA the 5’ adaptor ligation was performed using T4 RNA ligase1. The ligation product was reverse transcribed by SuperScript II Life Technologies and amplified by PCR with Phusion DNA polymerase. The cDNA libraries were sequenced by HiSeq 2000 or HiSeq 2500. Total RNA was extracted using TRIzol reagent for each experimental condition.	GEO Accession:GSM1517415	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP048545		Zeb_fish_Emb_t_0m_1.fastq.gz	fastq	3135589293.0	61482143.0	GSM1517415 r1	0:51	A:800912828;C:671516191;G:883139862;T:779944407;N:76005	51		800912828	671516191	883139862	779944407	76005	SRX718000	SRS713860	SRA188351	GEO	Narry Kim Lab, School of Biological Sciences, Seoul National University	1	0.0	0.0	1.0		51	T	under 1.2% mapping rate	illumina	hiseq_era	3prime	size_fractionation	trueseq	bulk	unknown	unknown	South Korea	2014-09-30	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
41420	41420	SRR4423116	SRX2245300	SRS1745858	SRP091534	PRJNA347637	Danio rerio and Xenopus laevis Raw sequence reads	PRJNA347637	Other	To study the transcriptome during development			egg pools from three different mothers		Egg pool Dr	strain:not applicable\|isolate:not applicable\|breed:ABTL\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:Egg\|sex:not applicable\|tissue:eggs\|BioSampleModel:Model organism or animal									miRNA Seq of Zebrafish: Egg pool	94 4	94 4	Libraries were generated according to the manufacturers’ protocols using the Ion Total RNA Seq Kit v2 and the Ion Xpress™ RNA Seq bar coding kit Thermo Fisher Scientific. A few modifications were made during purification steps in the small RNAseq to allow sequencing of longer RNAs up to 200 nt than with standard sRNA protocols. Namely: 153 µl ethanol instead of 120 µl during purification of cDNA and 134 µl ethanol instead of 110 µl in protocol.			miRNA-Seq	TRANSCRIPTOMIC	cDNA	SINGLE	ION_TORRENT	Ion Torrent Proton	SRP091534		eggRID0094BC04smallZF.fastq	fastq	1392075126.0	18333358.0	eggRID0094BC04smallZF.fastq	0:75.93	A:323480979;C:386272283;G:377777594;T:304544270;N:0	75		323480979	386272283	377777594	304544270	0	SRX2245300	SRS1745858	SRA485147	Universiteit van Amsterdam\|SILS	Universiteit van Amsterdam	1	0.68028	0.1685	0.89982	0.84521	83	B	usable mapping rate	ion_torrent	ion_torrent	unknown	small_rna	unknown	bulk	unknown	unknown	Netherlands	2016-10-19	Undetermined	Undetermined	Undetermined	Undetermined
41424	41424	SRR4423112	SRX2245296	SRS1745858	SRP091534	PRJNA347637	Danio rerio and Xenopus laevis Raw sequence reads	PRJNA347637	Other	To study the transcriptome during development			egg pools from three different mothers		Egg pool Dr	strain:not applicable\|isolate:not applicable\|breed:ABTL\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:Egg\|sex:not applicable\|tissue:eggs\|BioSampleModel:Model organism or animal									miRNA Seq of Zebrafish: Egg pool	88 4	88 4	Libraries were generated according to the manufacturers’ protocols using the Ion Total RNA Seq Kit v2 and the Ion Xpress™ RNA Seq bar coding kit Thermo Fisher Scientific. A few modifications were made during purification steps in the small RNAseq to allow sequencing of longer RNAs up to 200 nt than with standard sRNA protocols. Namely: 153 µl ethanol instead of 120 µl during purification of cDNA and 134 µl ethanol instead of 110 µl in protocol.			miRNA-Seq	TRANSCRIPTOMIC	cDNA	SINGLE	ION_TORRENT	Ion Torrent Proton	SRP091534		eggRID0088BC04smallZF.fastq	fastq	1063934659.0	14422089.0	eggRID0088BC04smallZF.fastq	0:73.77	A:248885216;C:293368431;G:288043879;T:233637133;N:0	73		248885216	293368431	288043879	233637133	0	SRX2245296	SRS1745858	SRA485147	Universiteit van Amsterdam\|SILS	Universiteit van Amsterdam	1	0.66115	0.18031	0.89546	0.78468	72	B	usable mapping rate	ion_torrent	ion_torrent	unknown	small_rna	unknown	bulk	unknown	unknown	Netherlands	2016-10-19	Undetermined	Undetermined	Undetermined	Undetermined
41426	41426	SRR4423110	SRX2245294	SRS1745858	SRP091534	PRJNA347637	Danio rerio and Xenopus laevis Raw sequence reads	PRJNA347637	Other	To study the transcriptome during development			egg pools from three different mothers		Egg pool Dr	strain:not applicable\|isolate:not applicable\|breed:ABTL\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:Egg\|sex:not applicable\|tissue:eggs\|BioSampleModel:Model organism or animal									miRNA Seq of Zebrafish: Egg pool	93 4	93 4	Libraries were generated according to the manufacturers’ protocols using the Ion Total RNA Seq Kit v2 and the Ion Xpress™ RNA Seq bar coding kit Thermo Fisher Scientific. A few modifications were made during purification steps in the small RNAseq to allow sequencing of longer RNAs up to 200 nt than with standard sRNA protocols. Namely: 153 µl ethanol instead of 120 µl during purification of cDNA and 134 µl ethanol instead of 110 µl in protocol.			miRNA-Seq	TRANSCRIPTOMIC	cDNA	SINGLE	ION_TORRENT	Ion Torrent Proton	SRP091534		eggRID0093BC04smallZF.fastq	fastq	1382951404.0	18190154.0	eggRID0093BC04smallZF.fastq	0:76.03	A:322536095;C:383176934;G:374216039;T:303022336;N:0	76		322536095	383176934	374216039	303022336	0	SRX2245294	SRS1745858	SRA485147	Universiteit van Amsterdam\|SILS	Universiteit van Amsterdam	1	0.66399	0.17461	0.90134	0.82432	156	B	usable mapping rate	ion_torrent	ion_torrent	unknown	small_rna	unknown	bulk	unknown	unknown	Netherlands	2016-10-19	Undetermined	Undetermined	Undetermined	Undetermined
43050	43050	SRR5883565	SRX3049654	SRS2396336	SRP114397	PRJNA396509	The plasticizer Bisphenol A favors cancer progression in adult zebrafish by perturbing the epigenome: A systems level analysis of the miRNome miRNA.	GSE102059	Transcriptome Analysis	Exposure to bisphenol A BPA an endocrine disruptor ED has raised concerns for both human and ecosystem health. Epigenetic factors including microRNAs are key regulators of gene expression during cancer. The effect of BPA exposure on the zebrafish epigenome remains poorly characterized. Zebrafish represents an excellent model to study cancer as the organism develops disease that resembles human cancer. Using zebrafish as systems toxicology model we hypothesized that chronic BPA exposure impacts the miRNome in adult zebrafish and establishes an epigenome more susceptible to cancer development. post a 3 week exposure to 100 nM BPA RNA from the liver was extracted to perform high throughput mRNA and miRNA sequencing. Differential expression DE analyses comparing BPA exposed to control specimens were performed using established bioinformatics pipelines. In the BPA exposed liver 6 188 mRNAs and 15 miRNAs were differently expressed q = 0.1. By analyzing human orthologs of the DE zebrafish genes signatures associated with non alcoholic fatty liver disease NAFLD oxidative phosphorylation mitochondrial dysfunction and cell cycle were uncovered. Chronic exposure to BPA has a significant impact on the liver miRNome in adult zebrafish and has the potential to cause adverse outcomes including cancer. Overall design: Examination of miRNome changes in an in vivo model organism exposed to a common environmental compound.		pubmed:29027980		Liver BPA 4 6	GSM2722577	tissue:Liver\|exposure:100 nM BPA	Liver BPA 4 6	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. CNTRL 1.3 CNTRL 4.5 Liver BPA 1.3 Liver BPA 4.5 contain raw count data for the two control and two BPA exposed liver miRNAseq libraries. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Liver	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 throughout the duration of the experiment. Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to commencing the experiments. Four tanks 80 l/tank with 20 animals each were prepared for the different experimental groups two containing water with 100 nM BPA and two containing only water as negative control. BPA was dissolved in ethanol and a stock working solutions was prepared from which the working experimental concentrations were prepared. The nominal exposures utilized a continuous flow through system. Following a three week exposure the fish were sampled for liver; tissue samples were then immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		exposure:100 nM BPA	GSM2722577	GSM2722577: Liver BPA 4 6; Danio rerio; miRNA Seq	GSM2722577		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2722577	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP114397		12_GGTAGC_LALL_R1_001.fastq.gz	fastq	461508486.0	9049186.0	GSM2722577 r1	0:51	A:92718489;C:120118265;G:143926288;T:103539215;N:1206229	51		92718489	120118265	143926288	103539215	1206229	SRX3049654	SRS2396336	SRA594837	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.02792	0.00247	0.99602	0.60254	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-07-31	Undetermined	Adult	Liver	Liver and Biliary System
43051	43051	SRR5883564	SRX3049653	SRS2396335	SRP114397	PRJNA396509	The plasticizer Bisphenol A favors cancer progression in adult zebrafish by perturbing the epigenome: A systems level analysis of the miRNome miRNA.	GSE102059	Transcriptome Analysis	Exposure to bisphenol A BPA an endocrine disruptor ED has raised concerns for both human and ecosystem health. Epigenetic factors including microRNAs are key regulators of gene expression during cancer. The effect of BPA exposure on the zebrafish epigenome remains poorly characterized. Zebrafish represents an excellent model to study cancer as the organism develops disease that resembles human cancer. Using zebrafish as systems toxicology model we hypothesized that chronic BPA exposure impacts the miRNome in adult zebrafish and establishes an epigenome more susceptible to cancer development. post a 3 week exposure to 100 nM BPA RNA from the liver was extracted to perform high throughput mRNA and miRNA sequencing. Differential expression DE analyses comparing BPA exposed to control specimens were performed using established bioinformatics pipelines. In the BPA exposed liver 6 188 mRNAs and 15 miRNAs were differently expressed q = 0.1. By analyzing human orthologs of the DE zebrafish genes signatures associated with non alcoholic fatty liver disease NAFLD oxidative phosphorylation mitochondrial dysfunction and cell cycle were uncovered. Chronic exposure to BPA has a significant impact on the liver miRNome in adult zebrafish and has the potential to cause adverse outcomes including cancer. Overall design: Examination of miRNome changes in an in vivo model organism exposed to a common environmental compound.		pubmed:29027980		Liver BPA 1 3	GSM2722576	tissue:Liver\|exposure:100 nM BPA	Liver BPA 1 3	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. CNTRL 1.3 CNTRL 4.5 Liver BPA 1.3 Liver BPA 4.5 contain raw count data for the two control and two BPA exposed liver miRNAseq libraries. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Liver	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 throughout the duration of the experiment. Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to commencing the experiments. Four tanks 80 l/tank with 20 animals each were prepared for the different experimental groups two containing water with 100 nM BPA and two containing only water as negative control. BPA was dissolved in ethanol and a stock working solutions was prepared from which the working experimental concentrations were prepared. The nominal exposures utilized a continuous flow through system. Following a three week exposure the fish were sampled for liver; tissue samples were then immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		exposure:100 nM BPA	GSM2722576	GSM2722576: Liver BPA 1 3; Danio rerio; miRNA Seq	GSM2722576		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2722576	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP114397		11_GAGTGG_LALL_R1_001.fastq.gz	fastq	587697684.0	11523484.0	GSM2722576 r1	0:51	A:131489823;C:140167421;G:171253226;T:143217998;N:1569216	51		131489823	140167421	171253226	143217998	1569216	SRX3049653	SRS2396335	SRA594837	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.03603	0.00774	0.98492	0.65361	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-07-31	Undetermined	Adult	Liver	Liver and Biliary System
43052	43052	SRR5883563	SRX3049652	SRS2396334	SRP114397	PRJNA396509	The plasticizer Bisphenol A favors cancer progression in adult zebrafish by perturbing the epigenome: A systems level analysis of the miRNome miRNA.	GSE102059	Transcriptome Analysis	Exposure to bisphenol A BPA an endocrine disruptor ED has raised concerns for both human and ecosystem health. Epigenetic factors including microRNAs are key regulators of gene expression during cancer. The effect of BPA exposure on the zebrafish epigenome remains poorly characterized. Zebrafish represents an excellent model to study cancer as the organism develops disease that resembles human cancer. Using zebrafish as systems toxicology model we hypothesized that chronic BPA exposure impacts the miRNome in adult zebrafish and establishes an epigenome more susceptible to cancer development. post a 3 week exposure to 100 nM BPA RNA from the liver was extracted to perform high throughput mRNA and miRNA sequencing. Differential expression DE analyses comparing BPA exposed to control specimens were performed using established bioinformatics pipelines. In the BPA exposed liver 6 188 mRNAs and 15 miRNAs were differently expressed q = 0.1. By analyzing human orthologs of the DE zebrafish genes signatures associated with non alcoholic fatty liver disease NAFLD oxidative phosphorylation mitochondrial dysfunction and cell cycle were uncovered. Chronic exposure to BPA has a significant impact on the liver miRNome in adult zebrafish and has the potential to cause adverse outcomes including cancer. Overall design: Examination of miRNome changes in an in vivo model organism exposed to a common environmental compound.		pubmed:29027980		Liver CNTRL 4 5	GSM2722575	tissue:Liver\|exposure:Control	Liver CNTRL 4 5	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. CNTRL 1.3 CNTRL 4.5 Liver BPA 1.3 Liver BPA 4.5 contain raw count data for the two control and two BPA exposed liver miRNAseq libraries. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Liver	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 throughout the duration of the experiment. Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to commencing the experiments. Four tanks 80 l/tank with 20 animals each were prepared for the different experimental groups two containing water with 100 nM BPA and two containing only water as negative control. BPA was dissolved in ethanol and a stock working solutions was prepared from which the working experimental concentrations were prepared. The nominal exposures utilized a continuous flow through system. Following a three week exposure the fish were sampled for liver; tissue samples were then immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		exposure:Control	GSM2722575	GSM2722575: Liver CNTRL 4 5; Danio rerio; miRNA Seq	GSM2722575		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2722575	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP114397		10_CGTACG_LALL_R1_001.fastq.gz	fastq	407289621.0	7986071.0	GSM2722575 r1	0:51	A:84982391;C:104532595;G:122785928;T:93918201;N:1070506	51		84982391	104532595	122785928	93918201	1070506	SRX3049652	SRS2396334	SRA594837	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.13902	0.01445	0.99086	0.57915	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-07-31	Undetermined	Adult	Liver	Liver and Biliary System
43053	43053	SRR5883562	SRX3049651	SRS2396333	SRP114397	PRJNA396509	The plasticizer Bisphenol A favors cancer progression in adult zebrafish by perturbing the epigenome: A systems level analysis of the miRNome miRNA.	GSE102059	Transcriptome Analysis	Exposure to bisphenol A BPA an endocrine disruptor ED has raised concerns for both human and ecosystem health. Epigenetic factors including microRNAs are key regulators of gene expression during cancer. The effect of BPA exposure on the zebrafish epigenome remains poorly characterized. Zebrafish represents an excellent model to study cancer as the organism develops disease that resembles human cancer. Using zebrafish as systems toxicology model we hypothesized that chronic BPA exposure impacts the miRNome in adult zebrafish and establishes an epigenome more susceptible to cancer development. post a 3 week exposure to 100 nM BPA RNA from the liver was extracted to perform high throughput mRNA and miRNA sequencing. Differential expression DE analyses comparing BPA exposed to control specimens were performed using established bioinformatics pipelines. In the BPA exposed liver 6 188 mRNAs and 15 miRNAs were differently expressed q = 0.1. By analyzing human orthologs of the DE zebrafish genes signatures associated with non alcoholic fatty liver disease NAFLD oxidative phosphorylation mitochondrial dysfunction and cell cycle were uncovered. Chronic exposure to BPA has a significant impact on the liver miRNome in adult zebrafish and has the potential to cause adverse outcomes including cancer. Overall design: Examination of miRNome changes in an in vivo model organism exposed to a common environmental compound.		pubmed:29027980		Liver CNTRL 1 3	GSM2722574	tissue:Liver\|exposure:Control	Liver CNTRL 1 3	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. CNTRL 1.3 CNTRL 4.5 Liver BPA 1.3 Liver BPA 4.5 contain raw count data for the two control and two BPA exposed liver miRNAseq libraries. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Liver	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 throughout the duration of the experiment. Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to commencing the experiments. Four tanks 80 l/tank with 20 animals each were prepared for the different experimental groups two containing water with 100 nM BPA and two containing only water as negative control. BPA was dissolved in ethanol and a stock working solutions was prepared from which the working experimental concentrations were prepared. The nominal exposures utilized a continuous flow through system. Following a three week exposure the fish were sampled for liver; tissue samples were then immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		exposure:Control	GSM2722574	GSM2722574: Liver CNTRL 1 3; Danio rerio; miRNA Seq	GSM2722574		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2722574	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP114397		9_GTTTCG_LALL_R1_001.fastq.gz	fastq	379997073.0	7450923.0	GSM2722574 r1	0:51	A:79538003;C:96525448;G:113901755;T:89020494;N:1011373	51		79538003	96525448	113901755	89020494	1011373	SRX3049651	SRS2396333	SRA594837	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.00447	0.0005	0.99626	0.57217	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-07-31	Undetermined	Adult	Liver	Liver and Biliary System
44999	44999	SRR6411468	SRX3504483	SRS2782037	SRP127389	PRJNA427282	RNA profiling of the liver and gut tissues in zebrafish Danio rerio [miRNA]	GSE108436	Transcriptome Analysis	Compared to other fish models miRNAs are currently most extensively studied and identified in zebrafish. Approximately 415 dre miRNAs have been identified and several articles have studied some aspect of miRNA function in zebrafish such as their role in basic development and in disease pathways. However this field of research is in its infancy and the function of several dre miRNAs as well as their tissue specific expression profile are yet to be defined. In this study the liver and gut were dissected wildtype/untreated fish total and small RNA were extracted mRNA and miRNA libraries constructed and subjected to high throughput sequencing HTS using standard approaches. We carried out differential expression DE analysis and compared liver miRNA expression to gut using established bioinformatics pipelines. Through bioinformatics analysis known and putative novel miRNAs were identified. Finally we constructed a “miRNA matrix” that connects both total RNA Seq and miRNA Seq. Overall design: Examination of miRNome in adult zebrafish tissues gut and liver under homesostasis.	parent bioproject:PRJNA427275	pubmed:30386173		Gut 4 miRNA	GSM2898188	source name:Gut\|tissue:Gut\|Sex:male	Gut 4 miRNA	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: Tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. Gut 1 Gut 2 Liver 1 and Liver 2 contain raw count data for the two gut and liver miRNAseq libraries respectively. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Gut	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 . Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to extracting the tissues i.e. liver and intestine. Tissue samples were immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		tissue:Gut\|Sex:male	GSM2898188	GSM2898188: Gut 4 miRNA; Danio rerio; miRNA Seq	GSM2898188		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2898188	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP127389		4.fastq.gz	fastq	643103727.0	12609877.0	GSM2898188 r1	0:51	A:158299708;C:154230134;G:180978224;T:147874496;N:1721165	51		158299708	154230134	180978224	147874496	1721165	SRX3504483	SRS2782037	SRA641250	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.0075	0.00106	0.99671	0.56044	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-12-22	Undetermined	Adult	Gut	Digestive System
45000	45000	SRR6411467	SRX3504482	SRS2782036	SRP127389	PRJNA427282	RNA profiling of the liver and gut tissues in zebrafish Danio rerio [miRNA]	GSE108436	Transcriptome Analysis	Compared to other fish models miRNAs are currently most extensively studied and identified in zebrafish. Approximately 415 dre miRNAs have been identified and several articles have studied some aspect of miRNA function in zebrafish such as their role in basic development and in disease pathways. However this field of research is in its infancy and the function of several dre miRNAs as well as their tissue specific expression profile are yet to be defined. In this study the liver and gut were dissected wildtype/untreated fish total and small RNA were extracted mRNA and miRNA libraries constructed and subjected to high throughput sequencing HTS using standard approaches. We carried out differential expression DE analysis and compared liver miRNA expression to gut using established bioinformatics pipelines. Through bioinformatics analysis known and putative novel miRNAs were identified. Finally we constructed a “miRNA matrix” that connects both total RNA Seq and miRNA Seq. Overall design: Examination of miRNome in adult zebrafish tissues gut and liver under homesostasis.	parent bioproject:PRJNA427275	pubmed:30386173		Gut 3 miRNA	GSM2898187	source name:Gut\|tissue:Gut\|Sex:male	Gut 3 miRNA	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: Tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. Gut 1 Gut 2 Liver 1 and Liver 2 contain raw count data for the two gut and liver miRNAseq libraries respectively. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Gut	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 . Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to extracting the tissues i.e. liver and intestine. Tissue samples were immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		tissue:Gut\|Sex:male	GSM2898187	GSM2898187: Gut 3 miRNA; Danio rerio; miRNA Seq	GSM2898187		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2898187	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP127389		3.fastq.gz	fastq	657326148.0	12888748.0	GSM2898187 r1	0:51	A:155617794;C:161709285;G:186002579;T:152250836;N:1745654	51		155617794	161709285	186002579	152250836	1745654	SRX3504482	SRS2782036	SRA641250	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.11293	0.00924	0.99399	0.58458	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-12-22	Undetermined	Adult	Gut	Digestive System
45001	45001	SRR6411466	SRX3504481	SRS2782035	SRP127389	PRJNA427282	RNA profiling of the liver and gut tissues in zebrafish Danio rerio [miRNA]	GSE108436	Transcriptome Analysis	Compared to other fish models miRNAs are currently most extensively studied and identified in zebrafish. Approximately 415 dre miRNAs have been identified and several articles have studied some aspect of miRNA function in zebrafish such as their role in basic development and in disease pathways. However this field of research is in its infancy and the function of several dre miRNAs as well as their tissue specific expression profile are yet to be defined. In this study the liver and gut were dissected wildtype/untreated fish total and small RNA were extracted mRNA and miRNA libraries constructed and subjected to high throughput sequencing HTS using standard approaches. We carried out differential expression DE analysis and compared liver miRNA expression to gut using established bioinformatics pipelines. Through bioinformatics analysis known and putative novel miRNAs were identified. Finally we constructed a “miRNA matrix” that connects both total RNA Seq and miRNA Seq. Overall design: Examination of miRNome in adult zebrafish tissues gut and liver under homesostasis.	parent bioproject:PRJNA427275	pubmed:30386173		Liver 2 miRNA	GSM2898186	source name:Liver\|tissue:Liver\|Sex:male	Liver 2 miRNA	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: Tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. Gut 1 Gut 2 Liver 1 and Liver 2 contain raw count data for the two gut and liver miRNAseq libraries respectively. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Liver	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 . Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to extracting the tissues i.e. liver and intestine. Tissue samples were immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		tissue:Liver\|Sex:male	GSM2898186	GSM2898186: Liver 2 miRNA; Danio rerio; miRNA Seq	GSM2898186		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2898186	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP127389		2.fastq.gz	fastq	407289621.0	7986071.0	GSM2898186 r1	0:51	A:84982391;C:104532595;G:122785928;T:93918201;N:1070506	51		84982391	104532595	122785928	93918201	1070506	SRX3504481	SRS2782035	SRA641250	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.13902	0.01444	0.99076	0.58988	51	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-12-22	Undetermined	Adult	Liver	Liver and Biliary System
45002	45002	SRR6411465	SRX3504480	SRS2782034	SRP127389	PRJNA427282	RNA profiling of the liver and gut tissues in zebrafish Danio rerio [miRNA]	GSE108436	Transcriptome Analysis	Compared to other fish models miRNAs are currently most extensively studied and identified in zebrafish. Approximately 415 dre miRNAs have been identified and several articles have studied some aspect of miRNA function in zebrafish such as their role in basic development and in disease pathways. However this field of research is in its infancy and the function of several dre miRNAs as well as their tissue specific expression profile are yet to be defined. In this study the liver and gut were dissected wildtype/untreated fish total and small RNA were extracted mRNA and miRNA libraries constructed and subjected to high throughput sequencing HTS using standard approaches. We carried out differential expression DE analysis and compared liver miRNA expression to gut using established bioinformatics pipelines. Through bioinformatics analysis known and putative novel miRNAs were identified. Finally we constructed a “miRNA matrix” that connects both total RNA Seq and miRNA Seq. Overall design: Examination of miRNome in adult zebrafish tissues gut and liver under homesostasis.	parent bioproject:PRJNA427275	pubmed:30386173		Liver 1 miRNA	GSM2898185	source name:Liver\|tissue:Liver\|Sex:male	Liver 1 miRNA	Sequencing was carried out on an Illumina HiSeq2000. Illumina Casava1.8 software used for basecalling. Sequenced reads fastq files were trimmed for adaptor sequence and masked for low complexity or low quality sequence Secondary analysis was carried out on an OnRamp Bioinformatics Genomics Research Platform OnRamp Bioinformatics San Diego CA. OnRamp’s advanced Genomics Analysis Engine utilized an automated RNAseq workflow to process the data including data validation and quality control and read alignment to the ZEBRAFISH genome GRCZ10 using tophat2 The Comprehensive Analysis Pipeline for microRNA sequencing data CAP miRSeq was used for read pre processing alignment mature/precursor/ novel miRNA detection and quantification and data visualization. The miRNA Seq data was aligned to GRCz10 zebrafish genome using miRDeep a tool for miRNA identification from RNA sequencing data and Bowtie. DE analysis was performed with EdgeR. Transcript count data from EdgeR analysis of the samples were sorted according to their adjusted p value or q value which is the smallest false discovery rate FDR at which a transcript is called significant. Genome build: GRCz10 Supplementary files format and content: Tab delimited .txt files include the EdgeR output for the BPA vs Control Comparison. Columns to the right of the logFC column represent EdgeR output. Gut 1 Gut 2 Liver 1 and Liver 2 contain raw count data for the two gut and liver miRNAseq libraries respectively. Symbol GeneID Description and MirBaseID represent miRNA annotation and description information.	Liver	Male zebrafish were housed in aquaria that were individually heated using a 100 W aquarium heater to maintain a temperature of 26–29 °C and the light–dark cycle was 14:10 h. The pH ranged from 7.0 to 7.6 . Aeration and filtration were provided using sponge filters. Fish were fed two times a day with commercial flaked fish food Tetra Germany. Fish were acclimated for one week prior to extracting the tissues i.e. liver and intestine. Tissue samples were immediately frozen in liquid nitrogen and stored at –70 °C. All the animals were treated humanely and with regard for alleviation of suffering. These procedures followed an approved institutional IACUC protocol.	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA		tissue:Liver\|Sex:male	GSM2898185	GSM2898185: Liver 1 miRNA; Danio rerio; miRNA Seq	GSM2898185		1	Isolation of total liver RNA was performed using TRIzol reagent Invitrogen and the extracted RNA were further purified using the miRNeasy Mini kit Qiagen Valencia California. All RNA were treated with DNase to ensure no DNA appeared in the results. The miRNA Seq libraries were prepared using with Illumina TruSeq Small RNA Prep kit and 1 ug input RNA	GEO Accession:GSM2898185	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP127389		1.fastq.gz	fastq	379997073.0	7450923.0	GSM2898185 r1	0:51	A:79538003;C:96525448;G:113901755;T:89020494;N:1011373	51		79538003	96525448	113901755	89020494	1011373	SRX3504480	SRS2782034	SRA641250	GEO	Walton RS311, Pathology, Medical University of South Carolina	1	0.00448	0.00052	0.99632	0.58707	51	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	trueseq	bulk	unknown	unknown	United States	2017-12-22	Undetermined	Adult	Liver	Liver and Biliary System
50795	50795	SRR8305648	SRX5120118	SRS4121998	SRP173044	PRJNA509429	Delineating the transcriptomic response during Zebrafish heart regeneration	PRJNA509429	Other	Sequencing data of both mRNA and microRNA were obtained to study the transcriptomic response during zebrafish heart regeneration. Samples were utilised in triplicates for each time point up to 160 xxx post injury. Furthermore mRNA and miRNA were obtained from the same biological samples to allow correlation analysis.		pubmed:30597924	Replicate 3		14dpi#3	breed:zebrafish\|age:NA\|sex:missing\|tissue:whole heart\|time point:14 dpi\|time replicate:14dpi#3\|BioSampleModel:Model organism or animal									14dpi rep3 miRNA	6011	6011	miRNAs were extracted using miRNeasy Mini Kit Qiagen #217004 and used for library preparation with the TruSeq Small RNA Library Prep Illumina #20005613			miRNA-Seq	TRANSCRIPTOMIC	other	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP173044		SID6011_S15_L003_R1_001.fastq.gz	fastq	578164050.0	11563281.0	SID6011 S15 L003 R1 001.fastq.gz	0:50	A:109934197;C:149003532;G:179264553;T:139924815;N:36953	50		109934197	149003532	179264553	139924815	36953	SRX5120118	SRS4121998	SRA822004	University of Freiburg\|Institute of Molecular Medicine and Cell Research	University of Freiburg DeCaRe	1	0.0225	0.00372	0.9906	0.61747	50	B	usable mapping rate	illumina	hiseq_era	unknown	small_rna	trueseq	bulk	unknown	unknown	Germany	2019-04-30	Undetermined	Undetermined	Heart	Cardiovascular System
50796	50796	SRR8305649	SRX5120117	SRS4121996	SRP173044	PRJNA509429	Delineating the transcriptomic response during Zebrafish heart regeneration	PRJNA509429	Other	Sequencing data of both mRNA and microRNA were obtained to study the transcriptomic response during zebrafish heart regeneration. Samples were utilised in triplicates for each time point up to 160 xxx post injury. Furthermore mRNA and miRNA were obtained from the same biological samples to allow correlation analysis.		pubmed:30597924	Replicate 2		14dpi#2	breed:zebrafish\|age:NA\|sex:missing\|tissue:whole heart\|time point:14 dpi\|time replicate:14dpi#2\|BioSampleModel:Model organism or animal									14dpi rep2 miRNA	6010	6010	miRNAs were extracted using miRNeasy Mini Kit Qiagen #217004 and used for library preparation with the TruSeq Small RNA Library Prep Illumina #20005613			miRNA-Seq	TRANSCRIPTOMIC	other	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP173044		SID6010_S14_L003_R1_001.fastq.gz	fastq	682820200.0	13656404.0	SID6010 S14 L003 R1 001.fastq.gz	0:50	A:132413613;C:177691857;G:213067602;T:159602931;N:44197	50		132413613	177691857	213067602	159602931	44197	SRX5120117	SRS4121996	SRA822004	University of Freiburg\|Institute of Molecular Medicine and Cell Research	University of Freiburg DeCaRe	1	0.02361	0.00321	0.99281	0.46548	50	B	usable mapping rate	illumina	hiseq_era	unknown	small_rna	trueseq	bulk	unknown	unknown	Germany	2019-04-30	Undetermined	Undetermined	Heart	Cardiovascular System
50797	50797	SRR8305650	SRX5120116	SRS4121997	SRP173044	PRJNA509429	Delineating the transcriptomic response during Zebrafish heart regeneration	PRJNA509429	Other	Sequencing data of both mRNA and microRNA were obtained to study the transcriptomic response during zebrafish heart regeneration. Samples were utilised in triplicates for each time point up to 160 xxx post injury. Furthermore mRNA and miRNA were obtained from the same biological samples to allow correlation analysis.		pubmed:30597924	Replicate 1		14dpi#1	breed:zebrafish\|age:NA\|sex:missing\|tissue:whole heart\|time point:14 dpi\|time replicate:14dpi#1\|BioSampleModel:Model organism or animal									14dpi rep1 miRNA	6009	6009	miRNAs were extracted using miRNeasy Mini Kit Qiagen #217004 and used for library preparation with the TruSeq Small RNA Library Prep Illumina #20005613			miRNA-Seq	TRANSCRIPTOMIC	other	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP173044		SID6009_S5_L006_R1_001.fastq.gz	fastq	645018650.0	12900373.0	SID6009 S5 L006 R1 001.fastq.gz	0:50	A:121217579;C:170403284;G:199790376;T:153583951;N:23460	50		121217579	170403284	199790376	153583951	23460	SRX5120116	SRS4121997	SRA822004	University of Freiburg\|Institute of Molecular Medicine and Cell Research	University of Freiburg DeCaRe	1	0.02637	0.00359	0.99095	0.50364	50	B	usable mapping rate	illumina	hiseq_era	unknown	small_rna	trueseq	bulk	unknown	unknown	Germany	2019-04-30	Undetermined	Undetermined	Heart	Cardiovascular System
52326	52326	SRR9119512	SRX5893495	SRS4815090	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIb 3	GSM3816534	source name:stage IIIb follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	IIIb 3	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIb follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	GSM3816534	GSM3816534: IIIb 3; Danio rerio; miRNA Seq	GSM3816534		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816534	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.005.RPI10.IIIb_3_R1.fastq.gz	fastq	1449340900.0	28986818.0	GSM3816534 r1	0:50 1:0	A:351029701;C:324452324;G:401722902;T:371889768;N:246205	50	0	351029701	324452324	401722902	371889768	246205	SRX5893495	SRS4815090	SRA890399	GEO	Biology, YorkU	1	0.08662	0.01333	0.96213	0.83838	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52327	52327	SRR9119513	SRX5893495	SRS4815090	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIb 3	GSM3816534	source name:stage IIIb follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	IIIb 3	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIb follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	GSM3816534	GSM3816534: IIIb 3; Danio rerio; miRNA Seq	GSM3816534		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816534	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.006.RPI10.IIIb_3_R1.fastq	fastq	1447621100.0	28952422.0	GSM3816534 r2	0:50 1:0	A:350650304;C:324162528;G:401055729;T:371582418;N:170121	50	0	350650304	324162528	401055729	371582418	170121	SRX5893495	SRS4815090	SRA890399	GEO	Biology, YorkU	1	0.08676	0.01312	0.96282	0.84604	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52328	52328	SRR9119510	SRX5893494	SRS4815089	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIb 2	GSM3816533	source name:stage IIIb follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	IIIb 2	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIb follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	GSM3816533	GSM3816533: IIIb 2; Danio rerio; miRNA Seq	GSM3816533		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816533	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.005.RPI9.IIIb_2_R1.fastq.gz	fastq	1012538750.0	20250775.0	GSM3816533 r1	0:50 1:0	A:242873339;C:228078637;G:287889366;T:253526026;N:171382	50	0	242873339	228078637	287889366	253526026	171382	SRX5893494	SRS4815089	SRA890399	GEO	Biology, YorkU	1	0.04745	0.00802	0.968	0.75298	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52329	52329	SRR9119511	SRX5893494	SRS4815089	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIb 2	GSM3816533	source name:stage IIIb follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	IIIb 2	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIb follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	GSM3816533	GSM3816533: IIIb 2; Danio rerio; miRNA Seq	GSM3816533		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816533	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.006.RPI9.IIIb_2_R1.fastq	fastq	1010559400.0	20211188.0	GSM3816533 r2	0:50 1:0	A:242471282;C:227664296;G:287157957;T:253147388;N:118477	50	0	242471282	227664296	287157957	253147388	118477	SRX5893494	SRS4815089	SRA890399	GEO	Biology, YorkU	1	0.04679	0.008	0.96946	0.71268	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52330	52330	SRR9119508	SRX5893493	SRS4815088	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIb 1	GSM3816532	source name:stage IIIb follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	IIIb 1	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIb follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	GSM3816532	GSM3816532: IIIb 1; Danio rerio; miRNA Seq	GSM3816532		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816532	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.005.RPI8.IIIb_1_R1.fastq.gz	fastq	1443846950.0	28876939.0	GSM3816532 r1	0:50 1:0	A:350805103;C:319766230;G:407583206;T:365448522;N:243889	50	0	350805103	319766230	407583206	365448522	243889	SRX5893493	SRS4815088	SRA890399	GEO	Biology, YorkU	1	0.02559	0.00389	0.98407	0.82023	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52331	52331	SRR9119509	SRX5893493	SRS4815088	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIb 1	GSM3816532	source name:stage IIIb follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	IIIb 1	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIb follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIb	GSM3816532	GSM3816532: IIIb 1; Danio rerio; miRNA Seq	GSM3816532		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816532	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.006.RPI8.IIIb_1_R1.fastq	fastq	1442694250.0	28853885.0	GSM3816532 r2	0:50 1:0	A:350607715;C:319569609;G:407049947;T:365297986;N:168993	50	0	350607715	319569609	407049947	365297986	168993	SRX5893493	SRS4815088	SRA890399	GEO	Biology, YorkU	1	0.02565	0.00409	0.98417	0.81633	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52332	52332	SRR9119506	SRX5893492	SRS4815087	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIa 3	GSM3816531	source name:stage IIIa follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	IIIa 3	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIa follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	GSM3816531	GSM3816531: IIIa 3; Danio rerio; miRNA Seq	GSM3816531		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816531	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.005.RPI4.IIIa_3_R1.fastq.gz	fastq	1324489100.0	26489782.0	GSM3816531 r1	0:50 1:0	A:333465386;C:289207984;G:364882545;T:336711699;N:221486	50	0	333465386	289207984	364882545	336711699	221486	SRX5893492	SRS4815087	SRA890399	GEO	Biology, YorkU	1	0.02703	0.00432	0.98313	0.75385	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52333	52333	SRR9119507	SRX5893492	SRS4815087	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIa 3	GSM3816531	source name:stage IIIa follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	IIIa 3	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIa follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	GSM3816531	GSM3816531: IIIa 3; Danio rerio; miRNA Seq	GSM3816531		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816531	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.006.RPI4.IIIa_3_R1.fastq	fastq	1322554650.0	26451093.0	GSM3816531 r2	0:50 1:0	A:333031673;C:288843797;G:364209143;T:336315522;N:154515	50	0	333031673	288843797	364209143	336315522	154515	SRX5893492	SRS4815087	SRA890399	GEO	Biology, YorkU	1	0.02671	0.00422	0.98283	0.76748	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52334	52334	SRR9119504	SRX5893491	SRS4815086	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIa 2	GSM3816530	source name:stage IIIa follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	IIIa 2	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIa follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	GSM3816530	GSM3816530: IIIa 2; Danio rerio; miRNA Seq	GSM3816530		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816530	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.005.RPI3.IIIa_2_R1.fastq.gz	fastq	1382308600.0	27646172.0	GSM3816530 r1	0:50 1:0	A:342206537;C:301597185;G:385756857;T:352517232;N:230789	50	0	342206537	301597185	385756857	352517232	230789	SRX5893491	SRS4815086	SRA890399	GEO	Biology, YorkU	1	0.05315	0.00892	0.9643	0.79967	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52335	52335	SRR9119505	SRX5893491	SRS4815086	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIa 2	GSM3816530	source name:stage IIIa follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	IIIa 2	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIa follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	GSM3816530	GSM3816530: IIIa 2; Danio rerio; miRNA Seq	GSM3816530		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816530	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.006.RPI3.IIIa_2_R1.fastq	fastq	1383050750.0	27661015.0	GSM3816530 r2	0:50 1:0	A:342441286;C:301828080;G:385820344;T:352800933;N:160107	50	0	342441286	301828080	385820344	352800933	160107	SRX5893491	SRS4815086	SRA890399	GEO	Biology, YorkU	1	0.0533	0.00892	0.96323	0.81292	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52336	52336	SRR9119502	SRX5893490	SRS4815085	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIa 1	GSM3816529	source name:stage IIIa follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	IIIa 1	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIa follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	GSM3816529	GSM3816529: IIIa 1; Danio rerio; miRNA Seq	GSM3816529		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816529	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.005.RPI2.IIIa_1_R1.fastq.gz	fastq	1333818450.0	26676369.0	GSM3816529 r1	0:50 1:0	A:320039883;C:296663387;G:380656068;T:336233800;N:225312	50	0	320039883	296663387	380656068	336233800	225312	SRX5893490	SRS4815085	SRA890399	GEO	Biology, YorkU	1	0.0976	0.019	0.93718	0.75404	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
52337	52337	SRR9119503	SRX5893490	SRS4815085	SRP199448	PRJNA544696	Identification of novel microRNAs and characterization of microRNA expression profiles in zebrafish ovarian follicular cells	GSE131759	Transcriptome Analysis	MicroRNAs miRNAs are small noncoding RNAs that regulate gene expression primarily at the post transcriptional levels and thereby play important roles in regulating many physiological and developmental processes. Oocyte maturation in fish is induced by hormones produced from the hypothalamus pituitary and ovary. Gonadotropin releasing hormone GnRH stimulates the secretion of luteinizing hormone LH which in turn induces the secretion of maturation inducing hormone MIH from the ovary. It is documented that small early vitellogenic or stage IIIa follicles are unable to undergo oocyte maturation whereas oocytes in mid to late vitellogenic stage IIIb follicles can be induced by LH and MIH to become mature. To determine whether miRNAs may be involved in the growth and acquisition of maturational competency of ovarian follicles we determined the miRNA expression profiles in follicular cells collected from stage IIIa and IIIb follicles using next generation sequencing. It was found that miRNAs are abundantly expressed in the follicular cells from both stages IIIa and IIIb follicles. Furthermore bioinformatics analysis revealed the presence of 214 known 31 conserved novel and 44 novel miRNAs in zebrafish vitellogenic ovarian follicular cells. Most mature miRNAs in follicular cells were found to be in the length of 22 nucleotides. Differential expression analysis revealed that 11 miRNAs were significantly up regulated and 13 miRNAs were significantly down regulated in the stage IIIb follicular cells as compared with stage IIIa follicular cells. The expression of four of the significantly regulated miRNAs dre miR 22a 3p dre miR 16a dre miR 181a 3p and dre miR 29a was validated by real time PCR. Finally gene enrichment and pathway analyses of the predicted targets of the significantly regulated miRNAs supported the involvement of several key signaling pathways in regulating ovarian function including oocyte maturation. Taken together this study identifies novel zebrafish miRNAs and characterizes miRNA expr…		pubmed:31417497		IIIa 1	GSM3816529	source name:stage IIIa follicular cells\|tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	IIIa 1	LC Sciences in house program ACGT101 miR program was used to process the raw sequencing data allowing for 1 mismatch Raw sequencing reads were processed using the ACGT101 miR program LC Sciences Houston Texas USA. Adaptor dimers junk low complexity common RNA families and repeats were removed and only unique sequences of 18 26 nucleotides nt in length were retained and compared to known zebrafish miRNAs in miRBase. Unannotated sequences that were mapped to the zebrafish genome and had at least one predicted pre miRNA and such pre miRNA is able to form a hairpin structure whose genomic coordinates should not overlap with known pre miRNAs included in this analysis were regarded as novel miRNAs. Sequencing counts were normalized by the library size parameter of the corresponding sample Genome build: GRCz11 Supplementary files format and content: tab delimited text files include mature miRNA sequence and normalized values for each Sample	stage IIIa follicular cells		Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols		tissue:ovary\|cell type:follicular cells\|developmental stage:IIIa	GSM3816529	GSM3816529: IIIa 1; Danio rerio; miRNA Seq	GSM3816529		1	Follicular cells from stages IIIa and IIIb were removed and RNA was usolayed using miRNeasy kit. Construction of sequencing libraries was performed by Nanuq sequencing facility for RNA Seq Illumina Massively Parallel Sequencing. RNA libraries were prepared for sequencing using standard Illumina protocols	GEO Accession:GSM3816529	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq 2000	SRP199448		HI.2030.006.RPI2.IIIa_1_R1.fastq	fastq	1334152750.0	26683055.0	GSM3816529 r2	0:50 1:0	A:320194547;C:296827909;G:380547854;T:336424243;N:158197	50	0	320194547	296827909	380547854	336424243	158197	SRX5893490	SRS4815085	SRA890399	GEO	Biology, YorkU	1	0.09727	0.01947	0.93866	0.76527	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	Canada	2019-05-24	Undetermined	Undetermined	Gonad	Reproductive System
53169	53169	SRR9697470	SRX6455747	SRS5113424	SRP215029	PRJNA555064	Identification and characterization of miRNAs involved in cold acclimation of zebrafish ZF4 cells	GSE134399	Transcriptome Analysis	MicroRNAs miRNAs play vital roles in various biological processes by leading to mRNA cleavage or translational repression and are also involved in multiple stress conditions. However the detailed roles of miRNAs in cold acclimation in fish are still unclear. In the present study high throughput sequencing was performed to identify miRNAs from 6 small RNA libraries from the zebrafish embryonic fibroblast ZF4 cells under control 28°C 30 days and cold acclimation 18°C 30 days conditions. A total of 414 miRNAs 349 known and 65 novel were identified. Among those miRNAs 24 19 known and 5 novel were up regulated and 23 9 known and 14 novel were down regulated in cold acclimated cells. The Gene Ontology GO and Kyoto Encyclopaedia of Genes and Genomes KEGG enrichment analyses indicated that the known differentially expressed miRNAs DE miRNA are involved in cold acclimation by regulation of phosphorylation cell junction intracellular signal transduction ECM receptor interaction and so on. Moreover dre miR 100 3p inhibitor or dre miR 16b mimics could protect ZF4 cells under cold stress indicating the involvement of miRNA in cold acclimation. In summary the present data show that miRNAs are closely involved in cold acclimation in fish and provide information for further understanding of the roles of miRNAs in cold acclimation. Overall design: ZF4 cells were cultured at 28 °C as control and at 18 °C for 30 days seperately. Each condition has three biological replica.		pubmed:31923196		ZF4 18 30d cold3	GSM3946004	tissue:embryonic fibroblast cells\|cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:cultured at 18 C for 30 days\|treatment:cold treatment for 30 days	ZF4 18 30d cold3	Illumina Casava1.8 software used for basecalling. Clean reads were obtained from raw sequences post removing all low quality reads N% > 5% or with ploy A contaminants reads smaller than 17 nt or longer than 35 nt and trimming the adapters. Clean reads were mapped to zebrafish reference non coding RNA sequences danRer10 ftp://ftp.ensembl.org/pub/release 91/fasta/ danio rerio/ncrna/ using bowtie 2.3.0 To identify the miRNAs associated with cold acclimation clean reads were aligned to known zebrafish miRNAs database miRBase22 http://www.mirbase.org/ using bowtie2.3.0. The miRNAs expression levels were estimated by TPM Transcripts per million Genome build: GRCz10 Supplementary files format and content: tab delimited text files include TPM values for novel micRNAs	embryonic fibroblast cells	For cold acclimation ZF4 cells were seeded at 50% confluence and the next day transferred to an incubator at 18˚C 5% CO2 in the same medium for 30 days.	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	ZF4 cell line was from the American Type Culture Collection ATCC CRL 2050. Cells were cultured in Dulbecco's modified Eagle's medium/F12 nutrient mix SH30023.01B Hyclone Thermo Scientific supplemented with 10% fetal bovine serum 10099141 Gibco Life technologies 1% penicillin streptomycin glutamine solution SV30082.01 Hyclone Thermo Scientificat 28°C 5% CO2.	cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:cultured at 18 C for 30 days\|treatment:cold treatment for 30 days	GSM3946004	GSM3946004: ZF4 18 30d cold3; Danio rerio; miRNA Seq	GSM3946004		1	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	GEO Accession:GSM3946004	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq X Ten	SRP215029		6.fq.gz	fastq	888718150.0	17774363.0	GSM3946004 r1	0:50	A:200112040;C:206776226;G:254640770;T:227172753;N:16361	50		200112040	206776226	254640770	227172753	16361	SRX6455747	SRS5113424	SRA922199	GEO	Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, College of Fisheries and Life Science, Shanghai Ocean University	1	0.00546	0.00027	0.99799	0.4985	50	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	China	2019-07-17	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
53170	53170	SRR9697469	SRX6455746	SRS5113421	SRP215029	PRJNA555064	Identification and characterization of miRNAs involved in cold acclimation of zebrafish ZF4 cells	GSE134399	Transcriptome Analysis	MicroRNAs miRNAs play vital roles in various biological processes by leading to mRNA cleavage or translational repression and are also involved in multiple stress conditions. However the detailed roles of miRNAs in cold acclimation in fish are still unclear. In the present study high throughput sequencing was performed to identify miRNAs from 6 small RNA libraries from the zebrafish embryonic fibroblast ZF4 cells under control 28°C 30 days and cold acclimation 18°C 30 days conditions. A total of 414 miRNAs 349 known and 65 novel were identified. Among those miRNAs 24 19 known and 5 novel were up regulated and 23 9 known and 14 novel were down regulated in cold acclimated cells. The Gene Ontology GO and Kyoto Encyclopaedia of Genes and Genomes KEGG enrichment analyses indicated that the known differentially expressed miRNAs DE miRNA are involved in cold acclimation by regulation of phosphorylation cell junction intracellular signal transduction ECM receptor interaction and so on. Moreover dre miR 100 3p inhibitor or dre miR 16b mimics could protect ZF4 cells under cold stress indicating the involvement of miRNA in cold acclimation. In summary the present data show that miRNAs are closely involved in cold acclimation in fish and provide information for further understanding of the roles of miRNAs in cold acclimation. Overall design: ZF4 cells were cultured at 28 °C as control and at 18 °C for 30 days seperately. Each condition has three biological replica.		pubmed:31923196		ZF4 18 30d cold2	GSM3946003	tissue:embryonic fibroblast cells\|cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:cultured at 18 C for 30 days\|treatment:cold treatment for 30 days	ZF4 18 30d cold2	Illumina Casava1.8 software used for basecalling. Clean reads were obtained from raw sequences post removing all low quality reads N% > 5% or with ploy A contaminants reads smaller than 17 nt or longer than 35 nt and trimming the adapters. Clean reads were mapped to zebrafish reference non coding RNA sequences danRer10 ftp://ftp.ensembl.org/pub/release 91/fasta/ danio rerio/ncrna/ using bowtie 2.3.0 To identify the miRNAs associated with cold acclimation clean reads were aligned to known zebrafish miRNAs database miRBase22 http://www.mirbase.org/ using bowtie2.3.0. The miRNAs expression levels were estimated by TPM Transcripts per million Genome build: GRCz10 Supplementary files format and content: tab delimited text files include TPM values for novel micRNAs	embryonic fibroblast cells	For cold acclimation ZF4 cells were seeded at 50% confluence and the next day transferred to an incubator at 18˚C 5% CO2 in the same medium for 30 days.	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	ZF4 cell line was from the American Type Culture Collection ATCC CRL 2050. Cells were cultured in Dulbecco's modified Eagle's medium/F12 nutrient mix SH30023.01B Hyclone Thermo Scientific supplemented with 10% fetal bovine serum 10099141 Gibco Life technologies 1% penicillin streptomycin glutamine solution SV30082.01 Hyclone Thermo Scientificat 28°C 5% CO2.	cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:cultured at 18 C for 30 days\|treatment:cold treatment for 30 days	GSM3946003	GSM3946003: ZF4 18 30d cold2; Danio rerio; miRNA Seq	GSM3946003		1	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	GEO Accession:GSM3946003	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq X Ten	SRP215029		5.fq.gz	fastq	853031700.0	17060634.0	GSM3946003 r1	0:50	A:192338096;C:205750986;G:242627478;T:212299265;N:15875	50		192338096	205750986	242627478	212299265	15875	SRX6455746	SRS5113421	SRA922199	GEO	Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, College of Fisheries and Life Science, Shanghai Ocean University	1	0.00538	0.00045	0.99738	0.47457	50	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	China	2019-07-17	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
53171	53171	SRR9697468	SRX6455745	SRS5113422	SRP215029	PRJNA555064	Identification and characterization of miRNAs involved in cold acclimation of zebrafish ZF4 cells	GSE134399	Transcriptome Analysis	MicroRNAs miRNAs play vital roles in various biological processes by leading to mRNA cleavage or translational repression and are also involved in multiple stress conditions. However the detailed roles of miRNAs in cold acclimation in fish are still unclear. In the present study high throughput sequencing was performed to identify miRNAs from 6 small RNA libraries from the zebrafish embryonic fibroblast ZF4 cells under control 28°C 30 days and cold acclimation 18°C 30 days conditions. A total of 414 miRNAs 349 known and 65 novel were identified. Among those miRNAs 24 19 known and 5 novel were up regulated and 23 9 known and 14 novel were down regulated in cold acclimated cells. The Gene Ontology GO and Kyoto Encyclopaedia of Genes and Genomes KEGG enrichment analyses indicated that the known differentially expressed miRNAs DE miRNA are involved in cold acclimation by regulation of phosphorylation cell junction intracellular signal transduction ECM receptor interaction and so on. Moreover dre miR 100 3p inhibitor or dre miR 16b mimics could protect ZF4 cells under cold stress indicating the involvement of miRNA in cold acclimation. In summary the present data show that miRNAs are closely involved in cold acclimation in fish and provide information for further understanding of the roles of miRNAs in cold acclimation. Overall design: ZF4 cells were cultured at 28 °C as control and at 18 °C for 30 days seperately. Each condition has three biological replica.		pubmed:31923196		ZF4 18 30d cold1	GSM3946002	tissue:embryonic fibroblast cells\|cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:cultured at 18 C for 30 days\|treatment:cold treatment for 30 days	ZF4 18 30d cold1	Illumina Casava1.8 software used for basecalling. Clean reads were obtained from raw sequences post removing all low quality reads N% > 5% or with ploy A contaminants reads smaller than 17 nt or longer than 35 nt and trimming the adapters. Clean reads were mapped to zebrafish reference non coding RNA sequences danRer10 ftp://ftp.ensembl.org/pub/release 91/fasta/ danio rerio/ncrna/ using bowtie 2.3.0 To identify the miRNAs associated with cold acclimation clean reads were aligned to known zebrafish miRNAs database miRBase22 http://www.mirbase.org/ using bowtie2.3.0. The miRNAs expression levels were estimated by TPM Transcripts per million Genome build: GRCz10 Supplementary files format and content: tab delimited text files include TPM values for novel micRNAs	embryonic fibroblast cells	For cold acclimation ZF4 cells were seeded at 50% confluence and the next day transferred to an incubator at 18˚C 5% CO2 in the same medium for 30 days.	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	ZF4 cell line was from the American Type Culture Collection ATCC CRL 2050. Cells were cultured in Dulbecco's modified Eagle's medium/F12 nutrient mix SH30023.01B Hyclone Thermo Scientific supplemented with 10% fetal bovine serum 10099141 Gibco Life technologies 1% penicillin streptomycin glutamine solution SV30082.01 Hyclone Thermo Scientificat 28°C 5% CO2.	cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:cultured at 18 C for 30 days\|treatment:cold treatment for 30 days	GSM3946002	GSM3946002: ZF4 18 30d cold1; Danio rerio; miRNA Seq	GSM3946002		1	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	GEO Accession:GSM3946002	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq X Ten	SRP215029		4.fq.gz	fastq	878731000.0	17574620.0	GSM3946002 r1	0:50	A:196907854;C:209105082;G:251308531;T:221393524;N:16009	50		196907854	209105082	251308531	221393524	16009	SRX6455745	SRS5113422	SRA922199	GEO	Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, College of Fisheries and Life Science, Shanghai Ocean University	1	0.01219	0.00089	0.99691	0.52247	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	China	2019-07-17	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
53172	53172	SRR9697467	SRX6455744	SRS5113420	SRP215029	PRJNA555064	Identification and characterization of miRNAs involved in cold acclimation of zebrafish ZF4 cells	GSE134399	Transcriptome Analysis	MicroRNAs miRNAs play vital roles in various biological processes by leading to mRNA cleavage or translational repression and are also involved in multiple stress conditions. However the detailed roles of miRNAs in cold acclimation in fish are still unclear. In the present study high throughput sequencing was performed to identify miRNAs from 6 small RNA libraries from the zebrafish embryonic fibroblast ZF4 cells under control 28°C 30 days and cold acclimation 18°C 30 days conditions. A total of 414 miRNAs 349 known and 65 novel were identified. Among those miRNAs 24 19 known and 5 novel were up regulated and 23 9 known and 14 novel were down regulated in cold acclimated cells. The Gene Ontology GO and Kyoto Encyclopaedia of Genes and Genomes KEGG enrichment analyses indicated that the known differentially expressed miRNAs DE miRNA are involved in cold acclimation by regulation of phosphorylation cell junction intracellular signal transduction ECM receptor interaction and so on. Moreover dre miR 100 3p inhibitor or dre miR 16b mimics could protect ZF4 cells under cold stress indicating the involvement of miRNA in cold acclimation. In summary the present data show that miRNAs are closely involved in cold acclimation in fish and provide information for further understanding of the roles of miRNAs in cold acclimation. Overall design: ZF4 cells were cultured at 28 °C as control and at 18 °C for 30 days seperately. Each condition has three biological replica.		pubmed:31923196		ZF4 28 con3	GSM3946001	tissue:embryonic fibroblast cells\|cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:normal cultured 28 C\|treatment:control	ZF4 28 con3	Illumina Casava1.8 software used for basecalling. Clean reads were obtained from raw sequences post removing all low quality reads N% > 5% or with ploy A contaminants reads smaller than 17 nt or longer than 35 nt and trimming the adapters. Clean reads were mapped to zebrafish reference non coding RNA sequences danRer10 ftp://ftp.ensembl.org/pub/release 91/fasta/ danio rerio/ncrna/ using bowtie 2.3.0 To identify the miRNAs associated with cold acclimation clean reads were aligned to known zebrafish miRNAs database miRBase22 http://www.mirbase.org/ using bowtie2.3.0. The miRNAs expression levels were estimated by TPM Transcripts per million Genome build: GRCz10 Supplementary files format and content: tab delimited text files include TPM values for novel micRNAs	embryonic fibroblast cells	For cold acclimation ZF4 cells were seeded at 50% confluence and the next day transferred to an incubator at 18˚C 5% CO2 in the same medium for 30 days.	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	ZF4 cell line was from the American Type Culture Collection ATCC CRL 2050. Cells were cultured in Dulbecco's modified Eagle's medium/F12 nutrient mix SH30023.01B Hyclone Thermo Scientific supplemented with 10% fetal bovine serum 10099141 Gibco Life technologies 1% penicillin streptomycin glutamine solution SV30082.01 Hyclone Thermo Scientificat 28°C 5% CO2.	cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:normal cultured 28 C\|treatment:control	GSM3946001	GSM3946001: ZF4 28 con3; Danio rerio; miRNA Seq	GSM3946001		1	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	GEO Accession:GSM3946001	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq X Ten	SRP215029		3.fq.gz	fastq	908953950.0	18179079.0	GSM3946001 r1	0:50	A:206519605;C:210829105;G:259204569;T:232383846;N:16825	50		206519605	210829105	259204569	232383846	16825	SRX6455744	SRS5113420	SRA922199	GEO	Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, College of Fisheries and Life Science, Shanghai Ocean University	1	0.00508	0.00042	0.99756	0.48	50	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	China	2019-07-17	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
53173	53173	SRR9697466	SRX6455743	SRS5113423	SRP215029	PRJNA555064	Identification and characterization of miRNAs involved in cold acclimation of zebrafish ZF4 cells	GSE134399	Transcriptome Analysis	MicroRNAs miRNAs play vital roles in various biological processes by leading to mRNA cleavage or translational repression and are also involved in multiple stress conditions. However the detailed roles of miRNAs in cold acclimation in fish are still unclear. In the present study high throughput sequencing was performed to identify miRNAs from 6 small RNA libraries from the zebrafish embryonic fibroblast ZF4 cells under control 28°C 30 days and cold acclimation 18°C 30 days conditions. A total of 414 miRNAs 349 known and 65 novel were identified. Among those miRNAs 24 19 known and 5 novel were up regulated and 23 9 known and 14 novel were down regulated in cold acclimated cells. The Gene Ontology GO and Kyoto Encyclopaedia of Genes and Genomes KEGG enrichment analyses indicated that the known differentially expressed miRNAs DE miRNA are involved in cold acclimation by regulation of phosphorylation cell junction intracellular signal transduction ECM receptor interaction and so on. Moreover dre miR 100 3p inhibitor or dre miR 16b mimics could protect ZF4 cells under cold stress indicating the involvement of miRNA in cold acclimation. In summary the present data show that miRNAs are closely involved in cold acclimation in fish and provide information for further understanding of the roles of miRNAs in cold acclimation. Overall design: ZF4 cells were cultured at 28 °C as control and at 18 °C for 30 days seperately. Each condition has three biological replica.		pubmed:31923196		ZF4 28 con2	GSM3946000	tissue:embryonic fibroblast cells\|cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:normal cultured 28 C\|treatment:control	ZF4 28 con2	Illumina Casava1.8 software used for basecalling. Clean reads were obtained from raw sequences post removing all low quality reads N% > 5% or with ploy A contaminants reads smaller than 17 nt or longer than 35 nt and trimming the adapters. Clean reads were mapped to zebrafish reference non coding RNA sequences danRer10 ftp://ftp.ensembl.org/pub/release 91/fasta/ danio rerio/ncrna/ using bowtie 2.3.0 To identify the miRNAs associated with cold acclimation clean reads were aligned to known zebrafish miRNAs database miRBase22 http://www.mirbase.org/ using bowtie2.3.0. The miRNAs expression levels were estimated by TPM Transcripts per million Genome build: GRCz10 Supplementary files format and content: tab delimited text files include TPM values for novel micRNAs	embryonic fibroblast cells	For cold acclimation ZF4 cells were seeded at 50% confluence and the next day transferred to an incubator at 18˚C 5% CO2 in the same medium for 30 days.	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	ZF4 cell line was from the American Type Culture Collection ATCC CRL 2050. Cells were cultured in Dulbecco's modified Eagle's medium/F12 nutrient mix SH30023.01B Hyclone Thermo Scientific supplemented with 10% fetal bovine serum 10099141 Gibco Life technologies 1% penicillin streptomycin glutamine solution SV30082.01 Hyclone Thermo Scientificat 28°C 5% CO2.	cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:normal cultured 28 C\|treatment:control	GSM3946000	GSM3946000: ZF4 28 con2; Danio rerio; miRNA Seq	GSM3946000		1	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	GEO Accession:GSM3946000	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq X Ten	SRP215029		2.fq.gz	fastq	876929500.0	17538590.0	GSM3946000 r1	0:50	A:198651931;C:204780756;G:249251465;T:224229047;N:16301	50		198651931	204780756	249251465	224229047	16301	SRX6455743	SRS5113423	SRA922199	GEO	Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, College of Fisheries and Life Science, Shanghai Ocean University	1	0.01465	0.00237	0.99559	0.5232	50	B	usable mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	China	2019-07-17	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
53174	53174	SRR9697465	SRX6455742	SRS5113425	SRP215029	PRJNA555064	Identification and characterization of miRNAs involved in cold acclimation of zebrafish ZF4 cells	GSE134399	Transcriptome Analysis	MicroRNAs miRNAs play vital roles in various biological processes by leading to mRNA cleavage or translational repression and are also involved in multiple stress conditions. However the detailed roles of miRNAs in cold acclimation in fish are still unclear. In the present study high throughput sequencing was performed to identify miRNAs from 6 small RNA libraries from the zebrafish embryonic fibroblast ZF4 cells under control 28°C 30 days and cold acclimation 18°C 30 days conditions. A total of 414 miRNAs 349 known and 65 novel were identified. Among those miRNAs 24 19 known and 5 novel were up regulated and 23 9 known and 14 novel were down regulated in cold acclimated cells. The Gene Ontology GO and Kyoto Encyclopaedia of Genes and Genomes KEGG enrichment analyses indicated that the known differentially expressed miRNAs DE miRNA are involved in cold acclimation by regulation of phosphorylation cell junction intracellular signal transduction ECM receptor interaction and so on. Moreover dre miR 100 3p inhibitor or dre miR 16b mimics could protect ZF4 cells under cold stress indicating the involvement of miRNA in cold acclimation. In summary the present data show that miRNAs are closely involved in cold acclimation in fish and provide information for further understanding of the roles of miRNAs in cold acclimation. Overall design: ZF4 cells were cultured at 28 °C as control and at 18 °C for 30 days seperately. Each condition has three biological replica.		pubmed:31923196		ZF4 28 con1	GSM3945999	tissue:embryonic fibroblast cells\|cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:normal cultured 28 C\|treatment:control	ZF4 28 con1	Illumina Casava1.8 software used for basecalling. Clean reads were obtained from raw sequences post removing all low quality reads N% > 5% or with ploy A contaminants reads smaller than 17 nt or longer than 35 nt and trimming the adapters. Clean reads were mapped to zebrafish reference non coding RNA sequences danRer10 ftp://ftp.ensembl.org/pub/release 91/fasta/ danio rerio/ncrna/ using bowtie 2.3.0 To identify the miRNAs associated with cold acclimation clean reads were aligned to known zebrafish miRNAs database miRBase22 http://www.mirbase.org/ using bowtie2.3.0. The miRNAs expression levels were estimated by TPM Transcripts per million Genome build: GRCz10 Supplementary files format and content: tab delimited text files include TPM values for novel micRNAs	embryonic fibroblast cells	For cold acclimation ZF4 cells were seeded at 50% confluence and the next day transferred to an incubator at 18˚C 5% CO2 in the same medium for 30 days.	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	ZF4 cell line was from the American Type Culture Collection ATCC CRL 2050. Cells were cultured in Dulbecco's modified Eagle's medium/F12 nutrient mix SH30023.01B Hyclone Thermo Scientific supplemented with 10% fetal bovine serum 10099141 Gibco Life technologies 1% penicillin streptomycin glutamine solution SV30082.01 Hyclone Thermo Scientificat 28°C 5% CO2.	cell line:ZF4\|cell type:fibroblast cell line\|growth temperature:normal cultured 28 C\|treatment:control	GSM3945999	GSM3945999: ZF4 28 con1; Danio rerio; miRNA Seq	GSM3945999		1	Total RNA was extracted using miRNeasy Mini Kit 217004 Qiagen and purified by RNAClean XP Kit A63987 Beckman Coulter and RNase Free DNase Set 79254 Qiagen. Libraries were pooled and sequenced using the Illumina HiSeq machine as 50 bp single end sequencing reads.	GEO Accession:GSM3945999	miRNA-Seq	TRANSCRIPTOMIC	size fractionation	SINGLE	ILLUMINA	Illumina HiSeq X Ten	SRP215029		1.fq.gz	fastq	957098100.0	19141962.0	GSM3945999 r1	0:50	A:217645979;C:223129215;G:273039214;T:243266316;N:17376	50		217645979	223129215	273039214	243266316	17376	SRX6455742	SRS5113425	SRA922199	GEO	Key Laboratory of Exploration and Utilization of Aquatic Genetic Resources, College of Fisheries and Life Science, Shanghai Ocean University	1	0.00967	0.0007	0.99701	0.51905	50	T	under 1.2% mapping rate	illumina	hiseq_era	unknown	size_fractionation	unknown	bulk	unknown	unknown	China	2019-07-17	Undetermined	Embryo	Embryo Imprecise	All anatomical structures
60445	60445	SRR12272862	SRX8777892	SRS7048444	SRP272672	PRJNA647444	mRNA and miRNA Seq in offspring post parental exposure to an antibiotic mixturemiRNA	PRJNA647444	Other	Zebrafish embryos were exposed to environmentally relevant levels 1 and 100 ug/L of antibiotic mixtures 15 of the most commonly detected antibiotics for 150 days until sexual maturation. miRNA mRNA network analysis in offspring post parental exposure to an antibiotic mixture.				C2	C2 C2 2 4	replicate:biological replicate 2\|strain:AB\|isolate:C2\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|sex:pooled male and female\|tissue:the whole\|collection date:2019 11 01\|geo loc name:China: Shenzhen Guangdong\|phenotype:100ug/L\|BioSampleModel:Model organism or animal									RNA seq of zebrafish	C2C220200712	C2C220200712	RNA seq of zebrafish in different conditions			miRNA-Seq	TRANSCRIPTOMIC	RANDOM PCR	SINGLE	BGISEQ	BGISEQ-500	SRP272672	loader:fastq load.py	C2_C2_2_4.fq	fastq	542610936.0	21965958.0	C2 C2 2 4.fq.gz	0:24.70	A:95221617;C:122628624;G:167025611;T:157730855;N:4229	24		95221617	122628624	167025611	157730855	4229	SRX8777892	SRS7048444	SRA1101037	Southern University of Science and Technology\|School of Environmental Science and Engineering	Southern University of Science and Technology	1	0.8119	0.10745	0.85717	0.51338	22	B	usable mapping rate	bgi	bgi	unknown	random_priming	unknown	bulk	unknown	unknown	China	2020-08-05	Undetermined	Embryo	Whole Organism	All anatomical structures
60446	60446	SRR12272863	SRX8777891	SRS7048443	SRP272672	PRJNA647444	mRNA and miRNA Seq in offspring post parental exposure to an antibiotic mixturemiRNA	PRJNA647444	Other	Zebrafish embryos were exposed to environmentally relevant levels 1 and 100 ug/L of antibiotic mixtures 15 of the most commonly detected antibiotics for 150 days until sexual maturation. miRNA mRNA network analysis in offspring post parental exposure to an antibiotic mixture.				C2	C2 C2 1 4	replicate:biological replicate 1\|strain:AB\|isolate:C2\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|sex:pooled male and female\|tissue:the whole\|collection date:2019 11 01\|geo loc name:China: Shenzhen Guangdong\|phenotype:100ug/L\|BioSampleModel:Model organism or animal									RNA seq of zebrafish	C2C220200711	C2C220200711	RNA seq of zebrafish in different conditions			miRNA-Seq	TRANSCRIPTOMIC	RANDOM PCR	SINGLE	BGISEQ	BGISEQ-500	SRP272672	loader:fastq load.py	C2_C2_1_4.fq	fastq	542847476.0	22614181.0	C2 C2 1 4.fq.gz	0:24.00	A:99999101;C:125407906;G:162383758;T:155055099;N:1612	24		99999101	125407906	162383758	155055099	1612	SRX8777891	SRS7048443	SRA1101037	Southern University of Science and Technology\|School of Environmental Science and Engineering	Southern University of Science and Technology	1	0.84327	0.10491	0.83256	0.52046	19	B	usable mapping rate	bgi	bgi	unknown	random_priming	unknown	bulk	unknown	unknown	China	2020-08-05	Undetermined	Embryo	Whole Organism	All anatomical structures
60447	60447	SRR12272864	SRX8777890	SRS7048442	SRP272672	PRJNA647444	mRNA and miRNA Seq in offspring post parental exposure to an antibiotic mixturemiRNA	PRJNA647444	Other	Zebrafish embryos were exposed to environmentally relevant levels 1 and 100 ug/L of antibiotic mixtures 15 of the most commonly detected antibiotics for 150 days until sexual maturation. miRNA mRNA network analysis in offspring post parental exposure to an antibiotic mixture.				C1	C1 C1 2 4	replicate:biological replicate 2\|strain:AB\|isolate:C1\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|sex:pooled male and female\|tissue:the whole\|collection date:2019 11 01\|geo loc name:China: Shenzhen Guangdong\|phenotype:1ug/L\|BioSampleModel:Model organism or animal									RNA seq of zebrafish	C1C120200712	C1C120200712	RNA seq of zebrafish in different conditions			miRNA-Seq	TRANSCRIPTOMIC	RANDOM PCR	SINGLE	BGISEQ	BGISEQ-500	SRP272672	loader:fastq load.py	C1_C1_2_4.fq	fastq	570918284.0	22577002.0	C1 C1 2 4.fq.gz	0:25.29	A:100121235;C:130480588;G:178656113;T:161652765;N:7583	25		100121235	130480588	178656113	161652765	7583	SRX8777890	SRS7048442	SRA1101037	Southern University of Science and Technology\|School of Environmental Science and Engineering	Southern University of Science and Technology	1	0.85096	0.12542	0.82873	0.51535	22	B	usable mapping rate	bgi	bgi	unknown	random_priming	unknown	bulk	unknown	unknown	China	2020-08-05	Undetermined	Embryo	Whole Organism	All anatomical structures
60448	60448	SRR12272865	SRX8777889	SRS7048441	SRP272672	PRJNA647444	mRNA and miRNA Seq in offspring post parental exposure to an antibiotic mixturemiRNA	PRJNA647444	Other	Zebrafish embryos were exposed to environmentally relevant levels 1 and 100 ug/L of antibiotic mixtures 15 of the most commonly detected antibiotics for 150 days until sexual maturation. miRNA mRNA network analysis in offspring post parental exposure to an antibiotic mixture.				C1	C1 C1 1 4	replicate:biological replicate 1\|strain:AB\|isolate:C1\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|sex:pooled male and female\|tissue:the whole\|collection date:2019 11 01\|geo loc name:China: Shenzhen Guangdong\|phenotype:1ug/L\|BioSampleModel:Model organism or animal									RNA seq of zebrafish	C1C120200711	C1C120200711	RNA seq of zebrafish in different conditions			miRNA-Seq	TRANSCRIPTOMIC	RANDOM PCR	SINGLE	BGISEQ	BGISEQ-500	SRP272672	loader:fastq load.py	C1_C1_1_4.fq	fastq	545089417.0	22812164.0	C1 C1 1 4.fq.gz	0:23.89	A:99851844;C:125314095;G:166401335;T:153521167;N:976	23		99851844	125314095	166401335	153521167	976	SRX8777889	SRS7048441	SRA1101037	Southern University of Science and Technology\|School of Environmental Science and Engineering	Southern University of Science and Technology	1	0.84602	0.11725	0.83159	0.51353	19	B	usable mapping rate	bgi	bgi	unknown	random_priming	unknown	bulk	unknown	unknown	China	2020-08-05	Undetermined	Embryo	Whole Organism	All anatomical structures
60449	60449	SRR12272866	SRX8777888	SRS7048440	SRP272672	PRJNA647444	mRNA and miRNA Seq in offspring post parental exposure to an antibiotic mixturemiRNA	PRJNA647444	Other	Zebrafish embryos were exposed to environmentally relevant levels 1 and 100 ug/L of antibiotic mixtures 15 of the most commonly detected antibiotics for 150 days until sexual maturation. miRNA mRNA network analysis in offspring post parental exposure to an antibiotic mixture.				C0	C0 C0 2 4	replicate:biological replicate 2\|strain:AB\|isolate:C0\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|sex:pooled male and female\|tissue:the whole\|collection date:2019 11 01\|geo loc name:China: Shenzhen Guangdong\|phenotype:0ug/L\|BioSampleModel:Model organism or animal									RNA seq of zebrafish	C0C020200712	C0C020200712	RNA seq of zebrafish in different conditions			miRNA-Seq	TRANSCRIPTOMIC	RANDOM PCR	SINGLE	BGISEQ	BGISEQ-500	SRP272672	loader:fastq load.py	C0_C0_2_4.fq	fastq	527443144.0	23174740.0	C0 C0 2 4.fq.gz	0:22.76	A:102368401;C:120843229;G:151690193;T:152540806;N:515	22		102368401	120843229	151690193	152540806	515	SRX8777888	SRS7048440	SRA1101037	Southern University of Science and Technology\|School of Environmental Science and Engineering	Southern University of Science and Technology	1	0.83063	0.08114	0.85169	0.50894	16	B	usable mapping rate	bgi	bgi	unknown	random_priming	unknown	bulk	unknown	unknown	China	2020-08-05	Undetermined	Embryo	Whole Organism	All anatomical structures
60450	60450	SRR12272867	SRX8777887	SRS7048439	SRP272672	PRJNA647444	mRNA and miRNA Seq in offspring post parental exposure to an antibiotic mixturemiRNA	PRJNA647444	Other	Zebrafish embryos were exposed to environmentally relevant levels 1 and 100 ug/L of antibiotic mixtures 15 of the most commonly detected antibiotics for 150 days until sexual maturation. miRNA mRNA network analysis in offspring post parental exposure to an antibiotic mixture.				C0	C0 C0 1 4	replicate:biological replicate 1\|strain:AB\|isolate:C0\|breed:not applicable\|cultivar:not applicable\|ecotype:not applicable\|age:not applicable\|dev stage:not applicable\|sex:pooled male and female\|tissue:the whole\|collection date:2019 11 01\|geo loc name:China: Shenzhen Guangdong\|phenotype:0ug/L\|BioSampleModel:Model organism or animal									RNA seq of zebrafish	C0C020200711	C0C020200711	RNA seq of zebrafish in different conditions			miRNA-Seq	TRANSCRIPTOMIC	RANDOM PCR	SINGLE	BGISEQ	BGISEQ-500	SRP272672	loader:fastq load.py	C0_C0_1_4.fq	fastq	511759408.0	22673361.0	C0 C0 1 4.fq.gz	0:22.57	A:100879182;C:120237907;G:142799495;T:147842595;N:229	22		100879182	120237907	142799495	147842595	229	SRX8777887	SRS7048439	SRA1101037	Southern University of Science and Technology\|School of Environmental Science and Engineering	Southern University of Science and Technology	1	0.83904	0.0823	0.84741	0.49929	22	B	usable mapping rate	bgi	bgi	unknown	random_priming	unknown	bulk	unknown	unknown	China	2020-08-05	Undetermined	Embryo	Whole Organism	All anatomical structures

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CREATE TABLE run_metadata("run.accession" VARCHAR, "experiment.accession" VARCHAR, "sample.accession" VARCHAR, "study.accession" VARCHAR, bioproject VARCHAR, "study.title" VARCHAR, "study.alias" VARCHAR, "study.type" VARCHAR, "study.abstract" VARCHAR, "study.attributes" VARCHAR, "study.PMIDs" VARCHAR, "sample.description" VARCHAR, "sample.title" VARCHAR, "sample.alias" VARCHAR, "sample.centername" VARCHAR, "sample.attributes" VARCHAR, "GEOsample.title" VARCHAR, "GEOsample.dataprocessing" VARCHAR, "GEOsample.source" VARCHAR, "GEOsample.treatmentprotocol" VARCHAR, "GEOsample.extractprotocol" VARCHAR, "GEOsample.growthprotocol" VARCHAR, "GEOsample.characteristics" VARCHAR, "GEOsample.accession" VARCHAR, "experiment.title" VARCHAR, "experiment.alias" VARCHAR, "experiment.library_name" VARCHAR, "experiment.design_description" VARCHAR, "experiment.library_construction_protocol" VARCHAR, "experiment.attributes" VARCHAR, "experiment.library_strategy" VARCHAR, "experiment.library_source" VARCHAR, "experiment.library_selection" VARCHAR, "experiment.library_layout" VARCHAR, "experiment.platform" VARCHAR, "experiment.instrument_model" VARCHAR, "experiment.spot_descriptor" VARCHAR, "experiment.study_ref" VARCHAR, "run.title" VARCHAR, "run.attributes" VARCHAR, "run.filename" VARCHAR, "run.semantic_name" VARCHAR, "run.total_bases" DOUBLE, "run.total_spots" DOUBLE, "run.alias" VARCHAR, "run.read_lengths" VARCHAR, "run.base_counts" VARCHAR, "run.r1_length" BIGINT, "run.r2_length" BIGINT, "run.r3_length" BIGINT, "run.r4_length" BIGINT, "run.Acount" BIGINT, "run.Ccount" BIGINT, "run.Gcount" BIGINT, "run.Tcount" BIGINT, "run.Ncount" BIGINT, "run.experiment" VARCHAR, "run.pool_member" VARCHAR, "submission.accession" VARCHAR, "submission.srasource" VARCHAR, "submission.bioprojectsource" VARCHAR, "seqdetective.n_mates" BIGINT, "seqdetective.mapping_rate.mate1" DOUBLE, "seqdetective.mapping_rate.mate2" DOUBLE, "seqdetective.nofeature_rate.mate1" DOUBLE, "seqdetective.nofeature_rate.mate2" DOUBLE, "seqdetective.sparsity.mate1" DOUBLE, "seqdetective.sparsity.mate2" DOUBLE, "seqdetective.pos_strand_rate.mate1" DOUBLE, "seqdetective.pos_strand_rate.mate2" DOUBLE, "seqdetective.readlen.mate1" BIGINT, "seqdetective.readlen.mate2" BIGINT, "seqdetective.judgement.mate1" VARCHAR, "seqdetective.judgement.mate2" VARCHAR, "seqdetective.judgement.reason" VARCHAR, platform_family VARCHAR, instrument_generation VARCHAR, read_bias VARCHAR, selection_class VARCHAR, prep_kit VARCHAR, sc_or_bulk VARCHAR, tech_class VARCHAR, technology VARCHAR, tech_variant VARCHAR, "submission.bioprojectsource.country" VARCHAR, earliest_date DATE, devstage_curation VARCHAR, devstage_curation_coarse VARCHAR, tissue_curation VARCHAR, tissue_curation_coarse VARCHAR);;
CREATE INDEX idx_run_bioproject ON run_metadata(bioproject);;
CREATE INDEX idx_run_run_accession ON run_metadata("run.accession");;