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.centername,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.spot_descriptor,experiment.study_ref,run.title,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.r3_length,run.r4_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.mapping_rate.mate2,seqdetective.nofeature_rate.mate1,seqdetective.nofeature_rate.mate2,seqdetective.sparsity.mate1,seqdetective.sparsity.mate2,seqdetective.pos_strand_rate.mate1,seqdetective.pos_strand_rate.mate2,seqdetective.readlen.mate1,seqdetective.readlen.mate2,seqdetective.judgement.mate1,seqdetective.judgement.mate2,seqdetective.judgement.reason,platform_family,instrument_generation,read_bias,selection_class,prep_kit,sc_or_bulk,tech_class,technology,tech_variant,submission.bioprojectsource.country,earliest_date,devstage_curation,devstage_curation_coarse,tissue_curation,tissue_curation_coarse 14,DRR334977,DRX323973,DRS217313,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 28 degrees rep 3,SAMD00422597,,sample name:rRNA mock community 28 degrees rep 3|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:28|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422597,DRX323973,t28 3 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422597,,,,3791170746.0,37701921.0,DRR334977,0:100.56 1:0,A:967477491;C:926887571;G:898697642;T:998107868;N:174,100,0,,,967477491,926887571,898697642,998107868,174,DRX323973,DRS217313,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.31527,,0.06446,,0.88844,,0.62118,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 15,DRR334976,DRX323972,DRS217312,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 28 degrees rep 2,SAMD00422596,,sample name:rRNA mock community 28 degrees rep 2|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:28|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422596,DRX323972,t28 2 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422596,,,,2801693695.0,27860658.0,DRR334976,0:100.56 1:0,A:700189496;C:702936549;G:679920984;T:718646067;N:599,100,0,,,700189496,702936549,679920984,718646067,599,DRX323972,DRS217312,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.43508,,0.08819,,0.85859,,0.69447,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 16,DRR334975,DRX323971,DRS217311,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 28 degrees rep 1,SAMD00422595,,sample name:rRNA mock community 28 degrees rep 1|biological replicate:3|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:28|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422595,DRX323971,t28 1 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422595,,,,3148691934.0,31307464.0,DRR334975,0:100.57 1:0,A:785000734;C:791315678;G:766594599;T:805780465;N:458,100,0,,,785000734,791315678,766594599,805780465,458,DRX323971,DRS217311,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.37139,,0.09061,,0.94065,,0.74047,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 17,DRR334974,DRX323970,DRS217310,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 19 degrees rep 3,SAMD00422594,,sample name:rRNA mock community 19 degrees rep 3|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:19|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422594,DRX323970,t19 3 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422594,,,,2856186273.0,28400524.0,DRR334974,0:100.57 1:0,A:695685787;C:733754277;G:715270279;T:711475544;N:386,100,0,,,695685787,733754277,715270279,711475544,386,DRX323970,DRS217310,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.48152,,0.10933,,0.87105,,0.7287,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 18,DRR334973,DRX323969,DRS217309,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 19 degrees rep 2,SAMD00422593,,sample name:rRNA mock community 19 degrees rep 2|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:19|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422593,DRX323969,t19 2 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422593,,,,3199929804.0,31816971.0,DRR334973,0:100.57 1:0,A:777149590;C:825478743;G:804835148;T:792466124;N:199,100,0,,,777149590,825478743,804835148,792466124,199,DRX323969,DRS217309,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.4418,,0.10282,,0.89706,,0.74667,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 19,DRR334972,DRX323968,DRS217308,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 19 degrees rep 1,SAMD00422592,,sample name:rRNA mock community 19 degrees rep 1|biological replicate:2|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:19|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422592,DRX323968,t19 1 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422592,,,,3658675391.0,36374718.0,DRR334972,0:100.58 1:0,A:879342063;C:954687406;G:929537615;T:895107890;N:417,100,0,,,879342063,954687406,929537615,895107890,417,DRX323968,DRS217308,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.49439,,0.11691,,0.88239,,0.73925,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 20,DRR334971,DRX323967,DRS217307,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 10 degrees rep 3,SAMD00422591,,sample name:rRNA mock community 10 degrees rep 3|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:3|temp:10|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422591,DRX323967,t10 3 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422591,,,,3017524690.0,30006334.0,DRR334971,0:100.56 1:0,A:771967717;C:738814269;G:712866126;T:793876235;N:343,100,0,,,771967717,738814269,712866126,793876235,343,DRX323967,DRS217307,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.33157,,0.07363,,0.9093,,0.73422,,100,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 21,DRR334970,DRX323966,DRS217306,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 10 degrees rep 2,SAMD00422590,,sample name:rRNA mock community 10 degrees rep 2|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:2|temp:10|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422590,DRX323966,t10 2 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422590,,,,3115915184.0,30982336.0,DRR334970,0:100.57 1:0,A:765727966;C:794741415;G:771082024;T:784363609;N:170,100,0,,,765727966,794741415,771082024,784363609,170,DRX323966,DRS217306,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.45458,,0.10504,,0.89357,,0.749,,100,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 22,DRR334969,DRX323965,DRS217305,DRP008001,PRJDB12578,Allometric scaling of RNA abundance from genes to communities,DRP008001,Other,The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole body RNA content in organisms. However testing RNA allometric scaling with next generation sequencing is yet to be done. Here we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling while the assumed temperature dependence appeared to be weak. Lastly allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.,,,totalRNA metatranscriptomic sequences from mock communities consist of five model species,rRNA mock community at 10 degrees rep 1,SAMD00422589,,sample name:rRNA mock community 10 degrees rep 1|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:10|treatment:rRNA,,,,,,,,,NextSeq 2000 sequencing of SAMD00422589,DRX323965,t10 1 tRNA.fastq,1,NEBNext Kit for Illumina,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,SINGLE,ILLUMINA,NextSeq 2000,1010Application ReadForward1,DRP008001,NextSeq 2000 sequencing of SAMD00422589,,,,3206657309.0,31883532.0,DRR334969,0:100.57 1:0,A:792874386;C:814578518;G:787469614;T:811734581;N:210,100,0,,,792874386,814578518,787469614,811734581,210,DRX323965,DRS217305,DRA013226,"SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica","SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica",1,0.40156,,0.09664,,0.92898,,0.74114,,101,,B,,usable mapping rate,illumina,nextseq_v2,unknown,random_priming,nebnext,bulk,unknown,unknown,,Taiwan,2021-12-23,Adult,Adult,Undetermined,Undetermined 35452,SRR32815440,SRX28098911,SRS24455832,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,T4Danio rerio,,strain:T4|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:T4|BioSampleModel:Model organism or animal,,,,,,,,,T4,T4,T4,T4,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,T4_1.fq.gz T4_2.fq.gz,fastq fastq,6608651700.0,22028839.0,T4 1.fq.gz,0:150 1:150,A:1815401801;C:1489859310;G:1499379699;T:1804010890;N:0,150,150,,,1815401801,1489859310,1499379699,1804010890,0,SRX28098911,SRS24455832,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35453,SRR32815441,SRX28098910,SRS24455831,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,T3Danio rerio,,strain:T3|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:T3|BioSampleModel:Model organism or animal,,,,,,,,,T3,T3,T3,T3,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,T3_1.fq.gz T3_2.fq.gz,fastq fastq,6656167200.0,22187224.0,T3 1.fq.gz,0:150 1:150,A:1840552276;C:1489247530;G:1499297584;T:1827069810;N:0,150,150,,,1840552276,1489247530,1499297584,1827069810,0,SRX28098910,SRS24455831,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35454,SRR32815442,SRX28098909,SRS24455830,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,T2Danio rerio,,strain:T2|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:T2|BioSampleModel:Model organism or animal,,,,,,,,,T2,T2,T2,T2,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,T2_1.fq.gz T2_2.fq.gz,fastq fastq,6622204800.0,22074016.0,T2 1.fq.gz,0:150 1:150,A:1834396150;C:1480094606;G:1490046882;T:1817667162;N:0,150,150,,,1834396150,1480094606,1490046882,1817667162,0,SRX28098909,SRS24455830,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35455,SRR32815443,SRX28098908,SRS24455829,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,T1Danio rerio,,strain:T1|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:T1|BioSampleModel:Model organism or animal,,,,,,,,,T1,T1,T1,T1,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,T1_1.fq.gz T1_2.fq.gz,fastq fastq,6626122500.0,22087075.0,T1 1.fq.gz,0:150 1:150,A:1833541012;C:1481665295;G:1491851279;T:1819064914;N:0,150,150,,,1833541012,1481665295,1491851279,1819064914,0,SRX28098908,SRS24455829,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35456,SRR32815444,SRX28098907,SRS24455828,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,Q4Danio rerio,,strain:Q4|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:Q4|BioSampleModel:Model organism or animal,,,,,,,,,Q4,Q4,Q4,Q4,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,Q4_1.fq.gz Q4_2.fq.gz,fastq fastq,6646083600.0,22153612.0,Q4 1.fq.gz,0:150 1:150,A:1823086981;C:1499930776;G:1510718905;T:1812346938;N:0,150,150,,,1823086981,1499930776,1510718905,1812346938,0,SRX28098907,SRS24455828,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35457,SRR32815445,SRX28098906,SRS24455827,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,Q3Danio rerio,,strain:Q3|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:Q3|BioSampleModel:Model organism or animal,,,,,,,,,Q3,Q3,Q3,Q3,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,Q3_1.fq.gz Q3_2.fq.gz,fastq fastq,6683275200.0,22277584.0,Q3 1.fq.gz,0:150 1:150,A:1838068171;C:1503920885;G:1514577234;T:1826708910;N:0,150,150,,,1838068171,1503920885,1514577234,1826708910,0,SRX28098906,SRS24455827,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35458,SRR32815446,SRX28098905,SRS24455826,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,Q2Danio rerio,,strain:Q2|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:Q2|BioSampleModel:Model organism or animal,,,,,,,,,Q2,Q2,Q2,Q2,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,Q2_1.fq.gz Q2_2.fq.gz,fastq fastq,6612253800.0,22040846.0,Q2 1.fq.gz,0:150 1:150,A:1821750297;C:1484945478;G:1495582042;T:1809975983;N:0,150,150,,,1821750297,1484945478,1495582042,1809975983,0,SRX28098905,SRS24455826,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined 35459,SRR32815447,SRX28098904,SRS24455825,SRP572346,PRJNA1240620,The mechanism of maternal inheritance of glycolipid metabolism disorder in a zebrafish model of type 2 diabetes,PRJNA1240620,Other,,,,,,Q1Danio rerio,,strain:Q1|age:96hpf|collection date:2023 12 20|geo loc name:China: Xiangyang|sex:missing|tissue:Tissue of juvenile fish|replicate:Q1|BioSampleModel:Model organism or animal,,,,,,,,,Q1,Q1,Q1,Q1,,,RNA-Seq,METATRANSCRIPTOMIC,cDNA,PAIRED,DNBSEQ,DNBSEQ-T7,,SRP572346,,,Q1_1.fq.gz Q1_2.fq.gz,fastq fastq,6725919900.0,22419733.0,Q1 1.fq.gz,0:150 1:150,A:1845653740;C:1518697545;G:1530630124;T:1830938491;N:0,150,150,,,1845653740,1518697545,1530630124,1830938491,0,SRX28098904,SRS24455825,SRA2098321,Wuhan University of Science and Technology|School of Medicine,Wuhan University of Science and Technology,,,,,,,,,,,,B,B,biological fallback assumption,bgi,bgi,unknown,cdna_unspecified,unknown,bulk,unknown,unknown,,China,2025-03-22,Larval,Larval,Undetermined,Undetermined