run_metadata
65 rows where devstage_curation = "Segmentation" and tissue_curation = "Brain"
This data as json, CSV (advanced)
| 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.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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 34547 | 34547 | SRR32092978 | SRX27440700 | SRS23867512 | SRP559408 | PRJNA1214750 | Reactivation of an Embryonic Cardiac Neural Crest Transcriptional Subcircuit During Zebrafish Heart Regeneration [scRNA seq] | GSE287811 | Other | During vertebrate development the heart primarily arises from mesoderm with crucial contributions from cardiac neural crest cells that migrate to the heart and form a variety of cardiovascular derivatives. Here by integrating bulk and single cell RNAseq with ATAC seq we identify a gene regulatory subcircuit specific to migratory cardiac crest cells composed of key transcription factors egr1 sox9a tfap2a and ets1. Notably we show that cells expressing the canonical neural crest gene sox10 are essential for proper cardiac regeneration in adult zebrafish. Furthermore expression of all transcription factors from the migratory cardiac crest gene subcircuit are xxx post injury at the wound edge. Together our results uncover a developmental gene regulatory network that is important for cardiac neural crest fate determination with key factors re activated during regeneration. Overall design: mcherry+ cells from 16 somite stage zebrafish embryos migratory cardiac neural crest stage were FAC sorted from Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP and analyzed using 10X Chromium Single Cell three prime v3.1 sequencing. | mch+ CdNC cells from 16ss zebrafish embryos | GSM8751763 | source name:midbrain hindbrain boundary to somite 6|tissue:midbrain hindbrain boundary to somite 6|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|cell type:Cardiac Neural Crest|age:16 somite stage|geo loc name:missing|collection date:missing | mch+ CdNC cells from 16ss zebrafish embryos | Reads were mapped to GRCz11 and initial quality control was performed using Cell Ranger v7.20. Scanpy was used for further quality control filtering clustering and downstream analysis. Assembly: GRCz11 Supplementary files format and content: tab separated barcodes and features files as well as matrix file. | midbrain hindbrain boundary to somite 6 | mch+ CdNC cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. Single cell libraries were prepared using the Chromium Single Cell 3’ v3.1 reagent kit 10X Genomics PN 1000075 according to manufacturer's protocol. | tissue:midbrain hindbrain boundary to somite 6|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|cell type:Cardiac Neural Crest|age:16 somite stage | GSM8751763 | GSM8751763: mch+ CdNC cells from 16ss zebrafish embryos; Danio rerio; RNA Seq | GSM8751763 r1 | GSM8751763 | 1 | mch+ CdNC cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. Single cell libraries were prepared using the Chromium Single Cell three prime v3.1 reagent kit 10X Genomics PN 1000075 according to manufacturer's protocol. | RNA-Seq | TRANSCRIPTOMIC SINGLE CELL | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2500 | SRP559408 | SE6898_SA80357_S1_L001_R1_001.fastq.gz SE6898_SA80357_S1_L001_R2_001.fastq.gz | fastq fastq | 71160584348.0 | 235631074.0 | GSM8751763 r1 | 0:151 1:151 | A:17520054424;C:13126677931;G:14006245844;T:26493745251;N:13860898 | 151 | 151 | 17520054424 | 13126677931 | 14006245844 | 26493745251 | 13860898 | SRX27440700 | SRS23867512 | SRA2058075 | Martik Lab, Molecular and Cell Biology, University of California Berkeley | Martik Lab, Molecular and Cell Biology, University of California Berkeley | T | B | mate1 technical by mapping diff | illumina | hiseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2025-01-23 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||||||||||
| 34554 | 34554 | SRR32104359 | SRX27449951 | SRS23876473 | SRP559533 | PRJNA1214751 | Reactivation of an Embryonic Cardiac Neural Crest Transcriptional Subcircuit During Zebrafish Heart Regeneration [bulk RNA seq] | GSE287815 | Transcriptome Analysis | During vertebrate development the heart primarily arises from mesoderm with crucial contributions from cardiac neural crest cells that migrate to the heart and form a variety of cardiovascular derivatives. Here by integrating bulk and single cell RNAseq with ATAC seq we identify a gene regulatory subcircuit specific to migratory cardiac crest cells composed of key transcription factors egr1 sox9a tfap2a and ets1. Notably we show that cells expressing the canonical neural crest gene sox10 are essential for proper cardiac regeneration in adult zebrafish. Furthermore expression of all transcription factors from the migratory cardiac crest gene subcircuit are xxx post injury at the wound edge. Together our results uncover a developmental gene regulatory network that is important for cardiac neural crest fate determination with key factors re activated during regeneration. Overall design: Migratory cardiac neural crest cells mcherry + and non neural crest cells from the same tissue mcherry were FAC sorted from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos. Migratory trunk neural crest cells GFP + were FAC sorted from 24hpf Tg 4.9sox10:eGFP embryos. | 17hpf Negative CNC 3 | GSM8751784 | source name:non neural crest from midbrain hindbrain boundary to somite 6|tissue:non neural crest from midbrain hindbrain boundary to somite 6|cell type:non neural crest|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|age:16 somite stage 17hpf|fluorophore:mcherry |geo loc name:missing|collection date:missing | 17hpf Negative CNC 3 | Reads were mapped zebrafish genome GRCz10 using Bowtie 2. Transcript counts were determined using featureCounts Subread. Differential gene expression was performed using DEseq. Assembly: GRCz10 Supplementary files format and content: tab delimited text file included for cardiac neural crest and non neural crest samples | non neural crest from midbrain hindbrain boundary to somite 6 | mch+ CdNC cells and mch non neural crest cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. GFP+ cells were sorted from 24hpf Tg 4.9sox10:eGFP embryos were dissected dissociated and FAC sorted. Tissues were dissociated in Accumax and then sorted BD FACSAria™ Fusion Flow Cytometer. cDNA was prepared from each sample using the SMART Seq® v4 Ultra® Low Input RNA Kit. Standard Illumina protocols were used to construct each sequencing library and an Illumina HiSeq2500 sequencer at the Millard and Muriel Jacobs Genetics and Genomics Laboratory California Institute of Technology Pasadena CA for 50 million single ended reads. | tissue:non neural crest from midbrain hindbrain boundary to somite 6|cell type:non neural crest|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|age:16 somite stage 17hpf|fluorophore:mcherry | GSM8751784 | GSM8751784: 17hpf Negative CNC 3; Danio rerio; RNA Seq | GSM8751784 r1 | GSM8751784 | 1 | mch+ CdNC cells and mch non neural crest cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. GFP+ cells were sorted from 24hpf Tg 4.9sox10:eGFP embryos were dissected dissociated and FAC sorted. Tissues were dissociated in Accumax and then sorted BD FACSAria™ Fusion Flow Cytometer. cDNA was prepared from each sample using the SMART Seq® v4 Ultra® Low Input RNA Kit. Standard Illumina protocols were used to construct each sequencing library and an Illumina HiSeq2500 sequencer at the Millard and Muriel Jacobs Genetics and Genomics Laboratory California Institute of Technology Pasadena CA for 50 million single ended reads. | RNA-Seq | TRANSCRIPTOMIC | cDNA | SINGLE | ILLUMINA | Illumina HiSeq 2500 | SRP559533 | Sox10_neg_17hpf_CNC_3_22029_combined_filtered.fastq.gz | fastq | 6549316700.0 | 65493167.0 | GSM8751784 r1 | 0:100 | A:1904137226;C:1372226751;G:1395882591;T:1876995541;N:74591 | 100 | 1904137226 | 1372226751 | 1395882591 | 1876995541 | 74591 | SRX27449951 | SRS23876473 | SRA2058978 | Martik Lab, Molecular and Cell Biology, University of California Berkeley | Martik Lab, Molecular and Cell Biology, University of California Berkeley | B | usable mapping rate | illumina | hiseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_plate | smartseq | United States | 2025-01-23 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||||||||||||
| 34555 | 34555 | SRR32104360 | SRX27449950 | SRS23876471 | SRP559533 | PRJNA1214751 | Reactivation of an Embryonic Cardiac Neural Crest Transcriptional Subcircuit During Zebrafish Heart Regeneration [bulk RNA seq] | GSE287815 | Transcriptome Analysis | During vertebrate development the heart primarily arises from mesoderm with crucial contributions from cardiac neural crest cells that migrate to the heart and form a variety of cardiovascular derivatives. Here by integrating bulk and single cell RNAseq with ATAC seq we identify a gene regulatory subcircuit specific to migratory cardiac crest cells composed of key transcription factors egr1 sox9a tfap2a and ets1. Notably we show that cells expressing the canonical neural crest gene sox10 are essential for proper cardiac regeneration in adult zebrafish. Furthermore expression of all transcription factors from the migratory cardiac crest gene subcircuit are xxx post injury at the wound edge. Together our results uncover a developmental gene regulatory network that is important for cardiac neural crest fate determination with key factors re activated during regeneration. Overall design: Migratory cardiac neural crest cells mcherry + and non neural crest cells from the same tissue mcherry were FAC sorted from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos. Migratory trunk neural crest cells GFP + were FAC sorted from 24hpf Tg 4.9sox10:eGFP embryos. | 17hpf Negative CNC 2 | GSM8751783 | source name:non neural crest from midbrain hindbrain boundary to somite 6|tissue:non neural crest from midbrain hindbrain boundary to somite 6|cell type:non neural crest|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|age:16 somite stage 17hpf|fluorophore:mcherry |geo loc name:missing|collection date:missing | 17hpf Negative CNC 2 | Reads were mapped zebrafish genome GRCz10 using Bowtie 2. Transcript counts were determined using featureCounts Subread. Differential gene expression was performed using DEseq. Assembly: GRCz10 Supplementary files format and content: tab delimited text file included for cardiac neural crest and non neural crest samples | non neural crest from midbrain hindbrain boundary to somite 6 | mch+ CdNC cells and mch non neural crest cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. GFP+ cells were sorted from 24hpf Tg 4.9sox10:eGFP embryos were dissected dissociated and FAC sorted. Tissues were dissociated in Accumax and then sorted BD FACSAria™ Fusion Flow Cytometer. cDNA was prepared from each sample using the SMART Seq® v4 Ultra® Low Input RNA Kit. Standard Illumina protocols were used to construct each sequencing library and an Illumina HiSeq2500 sequencer at the Millard and Muriel Jacobs Genetics and Genomics Laboratory California Institute of Technology Pasadena CA for 50 million single ended reads. | tissue:non neural crest from midbrain hindbrain boundary to somite 6|cell type:non neural crest|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|age:16 somite stage 17hpf|fluorophore:mcherry | GSM8751783 | GSM8751783: 17hpf Negative CNC 2; Danio rerio; RNA Seq | GSM8751783 r1 | GSM8751783 | 1 | mch+ CdNC cells and mch non neural crest cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. GFP+ cells were sorted from 24hpf Tg 4.9sox10:eGFP embryos were dissected dissociated and FAC sorted. Tissues were dissociated in Accumax and then sorted BD FACSAria™ Fusion Flow Cytometer. cDNA was prepared from each sample using the SMART Seq® v4 Ultra® Low Input RNA Kit. Standard Illumina protocols were used to construct each sequencing library and an Illumina HiSeq2500 sequencer at the Millard and Muriel Jacobs Genetics and Genomics Laboratory California Institute of Technology Pasadena CA for 50 million single ended reads. | RNA-Seq | TRANSCRIPTOMIC | cDNA | SINGLE | ILLUMINA | Illumina HiSeq 2500 | SRP559533 | Sox10_neg_17hpf_CNC_2_21339_combined_filtered.fastq.gz | fastq | 2595442300.0 | 51908846.0 | GSM8751783 r1 | 0:50 | A:735396784;C:561568693;G:572114011;T:726356371;N:6441 | 50 | 735396784 | 561568693 | 572114011 | 726356371 | 6441 | SRX27449950 | SRS23876471 | SRA2058978 | Martik Lab, Molecular and Cell Biology, University of California Berkeley | Martik Lab, Molecular and Cell Biology, University of California Berkeley | B | usable mapping rate | illumina | hiseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_plate | smartseq | United States | 2025-01-23 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||||||||||||
| 34556 | 34556 | SRR32104361 | SRX27449949 | SRS23876470 | SRP559533 | PRJNA1214751 | Reactivation of an Embryonic Cardiac Neural Crest Transcriptional Subcircuit During Zebrafish Heart Regeneration [bulk RNA seq] | GSE287815 | Transcriptome Analysis | During vertebrate development the heart primarily arises from mesoderm with crucial contributions from cardiac neural crest cells that migrate to the heart and form a variety of cardiovascular derivatives. Here by integrating bulk and single cell RNAseq with ATAC seq we identify a gene regulatory subcircuit specific to migratory cardiac crest cells composed of key transcription factors egr1 sox9a tfap2a and ets1. Notably we show that cells expressing the canonical neural crest gene sox10 are essential for proper cardiac regeneration in adult zebrafish. Furthermore expression of all transcription factors from the migratory cardiac crest gene subcircuit are xxx post injury at the wound edge. Together our results uncover a developmental gene regulatory network that is important for cardiac neural crest fate determination with key factors re activated during regeneration. Overall design: Migratory cardiac neural crest cells mcherry + and non neural crest cells from the same tissue mcherry were FAC sorted from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos. Migratory trunk neural crest cells GFP + were FAC sorted from 24hpf Tg 4.9sox10:eGFP embryos. | 17hpf Negative CNC 1 | GSM8751782 | source name:non neural crest from midbrain hindbrain boundary to somite 6|tissue:non neural crest from midbrain hindbrain boundary to somite 6|cell type:non neural crest|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|age:16 somite stage 17hpf|fluorophore:mcherry |geo loc name:missing|collection date:missing | 17hpf Negative CNC 1 | Reads were mapped zebrafish genome GRCz10 using Bowtie 2. Transcript counts were determined using featureCounts Subread. Differential gene expression was performed using DEseq. Assembly: GRCz10 Supplementary files format and content: tab delimited text file included for cardiac neural crest and non neural crest samples | non neural crest from midbrain hindbrain boundary to somite 6 | mch+ CdNC cells and mch non neural crest cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. GFP+ cells were sorted from 24hpf Tg 4.9sox10:eGFP embryos were dissected dissociated and FAC sorted. Tissues were dissociated in Accumax and then sorted BD FACSAria™ Fusion Flow Cytometer. cDNA was prepared from each sample using the SMART Seq® v4 Ultra® Low Input RNA Kit. Standard Illumina protocols were used to construct each sequencing library and an Illumina HiSeq2500 sequencer at the Millard and Muriel Jacobs Genetics and Genomics Laboratory California Institute of Technology Pasadena CA for 50 million single ended reads. | tissue:non neural crest from midbrain hindbrain boundary to somite 6|cell type:non neural crest|transgenic line:Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP|age:16 somite stage 17hpf|fluorophore:mcherry | GSM8751782 | GSM8751782: 17hpf Negative CNC 1; Danio rerio; RNA Seq | GSM8751782 r1 | GSM8751782 | 1 | mch+ CdNC cells and mch non neural crest cells from 16 somite stage Tg 4.9sox10:GAL4 UAS cre;UAS:NfsB mCherry;myl7:nucGFP embryos were dissected dissociated and FAC sorted. GFP+ cells were sorted from 24hpf Tg 4.9sox10:eGFP embryos were dissected dissociated and FAC sorted. Tissues were dissociated in Accumax and then sorted BD FACSAria™ Fusion Flow Cytometer. cDNA was prepared from each sample using the SMART Seq® v4 Ultra® Low Input RNA Kit. Standard Illumina protocols were used to construct each sequencing library and an Illumina HiSeq2500 sequencer at the Millard and Muriel Jacobs Genetics and Genomics Laboratory California Institute of Technology Pasadena CA for 50 million single ended reads. | RNA-Seq | TRANSCRIPTOMIC | cDNA | SINGLE | ILLUMINA | Illumina HiSeq 2500 | SRP559533 | Sox10_neg_17hpf_CNC_1_21310_combined_filtered.fastq.gz | fastq | 2554400850.0 | 51088017.0 | GSM8751782 r1 | 0:50 | A:739730182;C:537827580;G:551508245;T:725296198;N:38645 | 50 | 739730182 | 537827580 | 551508245 | 725296198 | 38645 | SRX27449949 | SRS23876470 | SRA2058978 | Martik Lab, Molecular and Cell Biology, University of California Berkeley | Martik Lab, Molecular and Cell Biology, University of California Berkeley | B | usable mapping rate | illumina | hiseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_plate | smartseq | United States | 2025-01-23 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||||||||||||
| 38287 | 38287 | SRR1616929 | SRX736533 | SRS724633 | SRP049069 | PRJNA264333 | A spinal opsin controls early neural activity and drives a behavioral light response | GSE62527 | Transcriptome Analysis | Purpose: using RNA seq as a screening tool to determine candidate genes of interest within a genetically defined neural subpopulation in the zebrafish embryonic spinal cord. Results: The early embryonic spinal cord displays patterns of spontaneous activity that generate the earliest motor behavior in the zebrafish. We show the behavior and the neural activity to be inhibited by environmental levels of light. Since at these young ages the fish is blind and since restricted illumination patterns on the trunk of the fish can elicit a photo response we hypothesized that the photo inhibition is an intrinsic property of the active central pattern generator network within the spinal cord. We FACS isolated cells from this network as well as those from a panneuronal population and sequenced mRNAs. Through differential expression analysis we identified vertebrate ancient long opsin a as a candidate and then further validated its function in the circuit through knockdown and rescue experiments. Overall design: RNA sequencing of 2 FACS purified neural populations from zebrafish spinal cord. | pubmed:25484291 | HuC FP+ | GSM1528408 | tissue:spinal neurons|gal4 driver:HuC|population:panneuronal | HuC FP+ | Illumina Casava1.8 software used for basecalling. Sequenced reads were mapped to Zv9 using Tophat v1.4.0 FPKMs were generated using Cufflinks v2.1.1 and compared using Cuffdiff Genome build: Zv9 Supplementary files format and content: tab delimited text file with FPKM for each sample | spinal neurons | Tails dissected free at the level of the 3rd somite and dissociated with trypsin/collagenase before FACS | Fluorescent neural cell bodies were FACS sorted into Trizol and flash frozen before total RNA extraction and polyA selection. RNA libraries were prepared for sequencing using standard Illumina protocols | 20 hpf embryos were used | gal4 driver:HuC|population:panneuronal | GSM1528408 | GSM1528408: HuC FP+; Danio rerio; RNA Seq | GSM1528408 | 1 | Fluorescent neural cell bodies were FACS sorted into Trizol and flash frozen before total RNA extraction and polyA selection. RNA libraries were prepared for sequencing using standard Illumina protocols | GEO Accession:GSM1528408 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP049069 | HuCFP_R2.fastq HuCFP_R1.fastq | fastq fastq | 5590606800.0 | 27953034.0 | GSM1528408 r1 | 0:100 1:100 | A:1550775239;C:1214652319;G:1269909429;T:1544634947;N:10634866 | 100 | 100 | 1550775239 | 1214652319 | 1269909429 | 1544634947 | 10634866 | SRX736533 | SRS724633 | SRA192701 | GEO | Isacoff, MCB, UC Berkeley | 2 | 0.90003 | 0.87337 | 0.19389 | 0.18827 | 0.74594 | 0.75041 | 0.50589 | 0.50314 | 100 | 100 | B | B | biological fallback assumption | illumina | hiseq_era | unknown | poly_a | unknown | bulk | unknown | unknown | United States | 2014-10-20 | Segmentation | Embryo | Brain | Nervous System | ||||||||||
| 38288 | 38288 | SRR1616928 | SRX736532 | SRS724632 | SRP049069 | PRJNA264333 | A spinal opsin controls early neural activity and drives a behavioral light response | GSE62527 | Transcriptome Analysis | Purpose: using RNA seq as a screening tool to determine candidate genes of interest within a genetically defined neural subpopulation in the zebrafish embryonic spinal cord. Results: The early embryonic spinal cord displays patterns of spontaneous activity that generate the earliest motor behavior in the zebrafish. We show the behavior and the neural activity to be inhibited by environmental levels of light. Since at these young ages the fish is blind and since restricted illumination patterns on the trunk of the fish can elicit a photo response we hypothesized that the photo inhibition is an intrinsic property of the active central pattern generator network within the spinal cord. We FACS isolated cells from this network as well as those from a panneuronal population and sequenced mRNAs. Through differential expression analysis we identified vertebrate ancient long opsin a as a candidate and then further validated its function in the circuit through knockdown and rescue experiments. Overall design: RNA sequencing of 2 FACS purified neural populations from zebrafish spinal cord. | pubmed:25484291 | 1020 FP+ | GSM1528407 | tissue:spinal neurons|gal4 driver:1020st|population:olig2+ subpopulation | 1020 FP+ | Illumina Casava1.8 software used for basecalling. Sequenced reads were mapped to Zv9 using Tophat v1.4.0 FPKMs were generated using Cufflinks v2.1.1 and compared using Cuffdiff Genome build: Zv9 Supplementary files format and content: tab delimited text file with FPKM for each sample | spinal neurons | Tails dissected free at the level of the 3rd somite and dissociated with trypsin/collagenase before FACS | Fluorescent neural cell bodies were FACS sorted into Trizol and flash frozen before total RNA extraction and polyA selection. RNA libraries were prepared for sequencing using standard Illumina protocols | 20 hpf embryos were used | gal4 driver:1020st|population:olig2+ subpopulation | GSM1528407 | GSM1528407: 1020 FP+; Danio rerio; RNA Seq | GSM1528407 | 1 | Fluorescent neural cell bodies were FACS sorted into Trizol and flash frozen before total RNA extraction and polyA selection. RNA libraries were prepared for sequencing using standard Illumina protocols | GEO Accession:GSM1528407 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP049069 | 1020FP_R2.fastq 1020FP_R1.fastq | fastq fastq | 9750838400.0 | 48754192.0 | GSM1528407 r1 | 0:100 1:100 | A:2741372249;C:2106643378;G:2204482450;T:2679721349;N:18618974 | 100 | 100 | 2741372249 | 2106643378 | 2204482450 | 2679721349 | 18618974 | SRX736532 | SRS724632 | SRA192701 | GEO | Isacoff, MCB, UC Berkeley | 2 | 0.9073 | 0.88227 | 0.16046 | 0.15465 | 0.74385 | 0.7469 | 0.50468 | 0.50034 | 100 | 100 | B | B | biological fallback assumption | illumina | hiseq_era | unknown | poly_a | unknown | bulk | unknown | unknown | United States | 2014-10-20 | Segmentation | Embryo | Brain | Nervous System | ||||||||||
| 55642 | 55642 | SRR10586524 | SRX7266915 | SRS5761459 | SRP234691 | PRJNA593445 | A single cell transcriptome atlas of the developing zebrafish hindbrain [scRNA Seq] | GSE141427 | Transcriptome Analysis | Purpose: The goal of this study is to understand the progressive patterning of neurogenesis of the developing zebrafish hindbrain. 16hpf 24hpf and 44hpf zebrafish hindbrains were used for single cell RNA sequencing with the aim to uncover hindbrain development. Methods: 40 microdissected hindbrains per each stage were dissociated at loaded into the 10x Genomics Chromium Platform and sequenced using Illumina HiSeq 4000. Conclusions: Our study constitute a resource of hindbrain gene expression during development. We have identified transcriptional programs involved in: rhombomere segmental identity dorso ventral patterning boundary and centre progenitor cells and temporal regulation of neurogenesis. Overall design: 16hpf 24hpf 44hpf hindbrains were used for single cell RNA sequencing 10xGenomics Chromium Platform and sequenced using Illumina HiSeq 4000. | parent bioproject:PRJNA593433 | pubmed:32094115 | 16hpf Hindbrain scRNA seq | GSM4202680 | source name:Dissected hindbrain and surrounding tissues|tissue:Dissected hindbrain and surrounding tissues|Stage:16hpf|strain:LondonAB|genotype:wt|growth:25°C | 16hpf Hindbrain scRNA seq | 10X’s Cell Ranger software was used to de multiplex Illumina BCL output create fastq files and generate single cell feature counts for each library Three 10X libraries representing the 16hpf 24hpf and 44hpf stages of embryonic development were aggregated using the 10X software “cellranger aggr” function which sub samples reads such that all libraries have the same effective sequencing depth. Genome build: GRCz10 Supplementary files format and content: Tab delimited text file containing aggregated Cell Ranger counts | Dissected hindbrain and surrounding tissues | Embryos were decorionated and deyolked in DMEM with high Glucose no Glutamine no Calcium 11530556 Gibco; hindbrains were micro dissected using 0.33mm micro fine sterile needles; 40 tissues per stage were polled together and immediately processed for cell dissociation; samples were incubated with FACS max cell dissociation solution T200100 Amsbio supplemented with 1mg/ml Papain 10108014001 Sigma for 25min at 37°C and resuspended one time during incubation; cells were then transferred to HBSS no calcium no magnesium no phenol red; 11140035 ThermoFisher Scientific supplemented with 5%FBS rock inhibitor Y 27632 Stem Cell Technologies and 1X non essential amino acids 11140035 ThermoFisher Scientific; cells were further disaggregated by pipetting and filtered several times using 20µm strainers 130 101 812 Miltenyi Biotech GmbH RNA libraries were prepared for sequencing using Chromium Single Cell three prime v2 protocol PN 120233 10X Genomics; cDNA amplification involved 12 PCR cycles | tissue:Dissected hindbrain and surrounding tissues|Stage:16hpf|strain:LondonAB|genotype:wt|growth:25°C | GSM4202680 | GSM4202680: 16hpf Hindbrain scRNA seq; Danio rerio; RNA Seq | GSM4202680 | 1 | Embryos were decorionated and deyolked in DMEM with high Glucose no Glutamine no Calcium 11530556 Gibco; hindbrains were micro dissected using 0.33mm micro fine sterile needles; 40 tissues per stage were polled together and immediately processed for cell dissociation; samples were incubated with FACS max cell dissociation solution T200100 Amsbio supplemented with 1mg/ml Papain 10108014001 Sigma for 25min at 37°C and resuspended one time during incubation; cells were then transferred to HBSS no calcium no magnesium no phenol red; 11140035 ThermoFisher Scientific supplemented with 5%FBS rock inhibitor Y 27632 Stem Cell Technologies and 1X non essential amino acids 11140035 ThermoFisher Scientific; cells were further disaggregated by pipetting and filtered several times using 20µm strainers 130 101 812 Miltenyi Biotech GmbH RNA libraries were prepared for sequencing using Chromium Single Cell three prime v2 protocol PN 120233 10X Genomics; cDNA amplification involved 12 PCR cycles | GEO Accession:GSM4202680 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 4000 | SRP234691 | loader:fastq load.py|options: readTypes=TTB read1PairFiles=TAM677A1 S2 L008 I1 001.fastq.gz read2PairFiles=TAM677A1 S2 L008 R1 001.fastq.gz read3PairFiles=TAM677A1 S2 L008 R2 001.fastq.gz | TAM677A1_S2_L008_R2_001.fastq.gz TAM677A1_S2_L008_R1_001.fastq.gz TAM677A1_S2_L008_I1_001.fastq.gz | fastq fastq fastq | 72155333460.0 | 343596826.0 | GSM4202680 r1 | 0:8 1:101 2:101 | A:16535121466;C:12722320120;G:13646437290;T:29245478028;N:5976556 | 8 | 101 | 101 | 16535121466 | 12722320120 | 13646437290 | 29245478028 | 5976556 | SRX7266915 | SRS5761459 | SRA1006557 | GEO | The Francis Crick Institute | 1 | 0.91053 | 0.09489 | 0.848 | 0.50461 | 101 | B | usable mapping rate | illumina | hiseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United Kingdom | 2019-12-04 | Segmentation | Embryo | Brain | Nervous System | |||||||||||||||
| 61293 | 61293 | SRR12661692 | SRX9142578 | SRS7383882 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf3 S1 | GSM4793195 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf3 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793195 | GSM4793195: zBr20hpf3 S1; Danio rerio; RNA Seq | GSM4793195 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793195 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf3 S1 L001 I1 001.fastq.gz read2PairFiles=zBr20hpf3 S1 L001 R1 001.fastq.gz read3PairFiles=zBr20hpf3 S1 L001 R2 001.fastq.gz | zBr20hpf3_S1_L001_I1_001.fastq.gz zBr20hpf3_S1_L001_R1_001.fastq.gz zBr20hpf3_S1_L001_R2_001.fastq.gz | fastq fastq fastq | 11498972820.0 | 124988835.0 | GSM4793195 r1 | 0:8 1:26 2:58 | A:3133794084;C:2522668218;G:2829499377;T:3008689496;N:4321645 | 8 | 26 | 58 | 3133794084 | 2522668218 | 2829499377 | 3008689496 | 4321645 | SRX9142578 | SRS7383882 | SRA1127180 | GEO | Harvard University | 1 | 0.93284 | 0.13615 | 0.79044 | 0.48806 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61294 | 61294 | SRR12661693 | SRX9142578 | SRS7383882 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf3 S1 | GSM4793195 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf3 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793195 | GSM4793195: zBr20hpf3 S1; Danio rerio; RNA Seq | GSM4793195 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793195 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf3 S1 L002 I1 001.fastq.gz read2PairFiles=zBr20hpf3 S1 L002 R1 001.fastq.gz read3PairFiles=zBr20hpf3 S1 L002 R2 001.fastq.gz | zBr20hpf3_S1_L002_I1_001.fastq.gz zBr20hpf3_S1_L002_R1_001.fastq.gz zBr20hpf3_S1_L002_R2_001.fastq.gz | fastq fastq fastq | 10641572288.0 | 115669264.0 | GSM4793195 r2 | 0:8 1:26 2:58 | A:2966322006;C:2338158431;G:2537148329;T:2796104125;N:3839397 | 8 | 26 | 58 | 2966322006 | 2338158431 | 2537148329 | 2796104125 | 3839397 | SRX9142578 | SRS7383882 | SRA1127180 | GEO | Harvard University | 1 | 0.93106 | 0.14611 | 0.8144 | 0.50908 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61295 | 61295 | SRR12661694 | SRX9142578 | SRS7383882 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf3 S1 | GSM4793195 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf3 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793195 | GSM4793195: zBr20hpf3 S1; Danio rerio; RNA Seq | GSM4793195 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793195 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf3 S1 L003 I1 001.fastq.gz read2PairFiles=zBr20hpf3 S1 L003 R1 001.fastq.gz read3PairFiles=zBr20hpf3 S1 L003 R2 001.fastq.gz | zBr20hpf3_S1_L003_I1_001.fastq.gz zBr20hpf3_S1_L003_R1_001.fastq.gz zBr20hpf3_S1_L003_R2_001.fastq.gz | fastq fastq fastq | 10765850120.0 | 117020110.0 | GSM4793195 r3 | 0:8 1:26 2:58 | A:2982609518;C:2360548322;G:2590598329;T:2829989645;N:2104306 | 8 | 26 | 58 | 2982609518 | 2360548322 | 2590598329 | 2829989645 | 2104306 | SRX9142578 | SRS7383882 | SRA1127180 | GEO | Harvard University | 1 | 0.93165 | 0.14318 | 0.80379 | 0.50107 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61296 | 61296 | SRR12661695 | SRX9142578 | SRS7383882 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf3 S1 | GSM4793195 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf3 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793195 | GSM4793195: zBr20hpf3 S1; Danio rerio; RNA Seq | GSM4793195 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793195 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf3 S1 L004 I1 001.fastq.gz read2PairFiles=zBr20hpf3 S1 L004 R1 001.fastq.gz read3PairFiles=zBr20hpf3 S1 L004 R2 001.fastq.gz | zBr20hpf3_S1_L004_I1_001.fastq.gz zBr20hpf3_S1_L004_R1_001.fastq.gz zBr20hpf3_S1_L004_R2_001.fastq.gz | fastq fastq fastq | 10730257436.0 | 116633233.0 | GSM4793195 r4 | 0:8 1:26 2:58 | A:2987923739;C:2354670735;G:2563401857;T:2822306276;N:1954829 | 8 | 26 | 58 | 2987923739 | 2354670735 | 2563401857 | 2822306276 | 1954829 | SRX9142578 | SRS7383882 | SRA1127180 | GEO | Harvard University | 1 | 0.9314 | 0.14668 | 0.81598 | 0.5019 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61297 | 61297 | SRR12661688 | SRX9142577 | SRS7383881 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf2 S2 | GSM4793194 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793194 | GSM4793194: zBr20hpf2 S2; Danio rerio; RNA Seq | GSM4793194 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793194 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf2 S2 L001 I1 001.fastq.gz read2PairFiles=zBr20hpf2 S2 L001 R1 001.fastq.gz read3PairFiles=zBr20hpf2 S2 L001 R2 001.fastq.gz | zBr20hpf2_S2_L001_I1_001.fastq.gz zBr20hpf2_S2_L001_R1_001.fastq.gz zBr20hpf2_S2_L001_R2_001.fastq.gz | fastq fastq fastq | 1498814688.0 | 16291464.0 | GSM4793194 r1 | 0:8 1:26 2:58 | A:411909554;C:335143931;G:367761096;T:383644519;N:355588 | 8 | 26 | 58 | 411909554 | 335143931 | 367761096 | 383644519 | 355588 | SRX9142577 | SRS7383881 | SRA1127180 | GEO | Harvard University | 1 | 0.94387 | 0.09723 | 0.84124 | 0.48253 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61298 | 61298 | SRR12661689 | SRX9142577 | SRS7383881 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf2 S2 | GSM4793194 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793194 | GSM4793194: zBr20hpf2 S2; Danio rerio; RNA Seq | GSM4793194 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793194 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf2 S2 L002 I1 001.fastq.gz read2PairFiles=zBr20hpf2 S2 L002 R1 001.fastq.gz read3PairFiles=zBr20hpf2 S2 L002 R2 001.fastq.gz | zBr20hpf2_S2_L002_I1_001.fastq.gz zBr20hpf2_S2_L002_R1_001.fastq.gz zBr20hpf2_S2_L002_R2_001.fastq.gz | fastq fastq fastq | 1474290800.0 | 16024900.0 | GSM4793194 r2 | 0:8 1:26 2:58 | A:407737074;C:329798024;G:359432561;T:377022278;N:300863 | 8 | 26 | 58 | 407737074 | 329798024 | 359432561 | 377022278 | 300863 | SRX9142577 | SRS7383881 | SRA1127180 | GEO | Harvard University | 1 | 0.94327 | 0.09995 | 0.84283 | 0.4851 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61299 | 61299 | SRR12661690 | SRX9142577 | SRS7383881 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf2 S2 | GSM4793194 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793194 | GSM4793194: zBr20hpf2 S2; Danio rerio; RNA Seq | GSM4793194 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793194 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf2 S2 L003 I1 001.fastq.gz read2PairFiles=zBr20hpf2 S2 L003 R1 001.fastq.gz read3PairFiles=zBr20hpf2 S2 L003 R2 001.fastq.gz | zBr20hpf2_S2_L003_I1_001.fastq.gz zBr20hpf2_S2_L003_R1_001.fastq.gz zBr20hpf2_S2_L003_R2_001.fastq.gz | fastq fastq fastq | 1447109492.0 | 15729451.0 | GSM4793194 r3 | 0:8 1:26 2:58 | A:398119555;C:322813636;G:354802892;T:371154114;N:219295 | 8 | 26 | 58 | 398119555 | 322813636 | 354802892 | 371154114 | 219295 | SRX9142577 | SRS7383881 | SRA1127180 | GEO | Harvard University | 1 | 0.94367 | 0.09812 | 0.84189 | 0.48431 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61300 | 61300 | SRR12661691 | SRX9142577 | SRS7383881 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf2 S2 | GSM4793194 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793194 | GSM4793194: zBr20hpf2 S2; Danio rerio; RNA Seq | GSM4793194 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793194 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf2 S2 L004 I1 001.fastq.gz read2PairFiles=zBr20hpf2 S2 L004 R1 001.fastq.gz read3PairFiles=zBr20hpf2 S2 L004 R2 001.fastq.gz | zBr20hpf2_S2_L004_I1_001.fastq.gz zBr20hpf2_S2_L004_R1_001.fastq.gz zBr20hpf2_S2_L004_R2_001.fastq.gz | fastq fastq fastq | 1504028144.0 | 16348132.0 | GSM4793194 r4 | 0:8 1:26 2:58 | A:412410843;C:336192539;G:370588866;T:384647822;N:188074 | 8 | 26 | 58 | 412410843 | 336192539 | 370588866 | 384647822 | 188074 | SRX9142577 | SRS7383881 | SRA1127180 | GEO | Harvard University | 1 | 0.94439 | 0.0968 | 0.83761 | 0.48662 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61301 | 61301 | SRR12661684 | SRX9142576 | SRS7383880 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf1 S1 | GSM4793193 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793193 | GSM4793193: zBr20hpf1 S1; Danio rerio; RNA Seq | GSM4793193 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793193 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf1 S1 L001 I1 001.fastq.gz read2PairFiles=zBr20hpf1 S1 L001 R1 001.fastq.gz read3PairFiles=zBr20hpf1 S1 L001 R2 001.fastq.gz | zBr20hpf1_S1_L001_I1_001.fastq.gz zBr20hpf1_S1_L001_R1_001.fastq.gz zBr20hpf1_S1_L001_R2_001.fastq.gz | fastq fastq fastq | 1686610056.0 | 18332718.0 | GSM4793193 r1 | 0:8 1:26 2:58 | A:462763372;C:374399298;G:409698682;T:439340454;N:408250 | 8 | 26 | 58 | 462763372 | 374399298 | 409698682 | 439340454 | 408250 | SRX9142576 | SRS7383880 | SRA1127180 | GEO | Harvard University | 1 | 0.94536 | 0.10202 | 0.83851 | 0.47937 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61302 | 61302 | SRR12661685 | SRX9142576 | SRS7383880 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf1 S1 | GSM4793193 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793193 | GSM4793193: zBr20hpf1 S1; Danio rerio; RNA Seq | GSM4793193 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793193 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf1 S1 L002 I1 001.fastq.gz read2PairFiles=zBr20hpf1 S1 L002 R1 001.fastq.gz read3PairFiles=zBr20hpf1 S1 L002 R2 001.fastq.gz | zBr20hpf1_S1_L002_I1_001.fastq.gz zBr20hpf1_S1_L002_R1_001.fastq.gz zBr20hpf1_S1_L002_R2_001.fastq.gz | fastq fastq fastq | 1657273464.0 | 18013842.0 | GSM4793193 r2 | 0:8 1:26 2:58 | A:456965746;C:368071443;G:400521589;T:431378528;N:336158 | 8 | 26 | 58 | 456965746 | 368071443 | 400521589 | 431378528 | 336158 | SRX9142576 | SRS7383880 | SRA1127180 | GEO | Harvard University | 1 | 0.94556 | 0.1012 | 0.83638 | 0.48393 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61303 | 61303 | SRR12661686 | SRX9142576 | SRS7383880 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf1 S1 | GSM4793193 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793193 | GSM4793193: zBr20hpf1 S1; Danio rerio; RNA Seq | GSM4793193 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793193 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf1 S1 L003 I1 001.fastq.gz read2PairFiles=zBr20hpf1 S1 L003 R1 001.fastq.gz read3PairFiles=zBr20hpf1 S1 L003 R2 001.fastq.gz | zBr20hpf1_S1_L003_I1_001.fastq.gz zBr20hpf1_S1_L003_R1_001.fastq.gz zBr20hpf1_S1_L003_R2_001.fastq.gz | fastq fastq fastq | 1637570100.0 | 17799675.0 | GSM4793193 r3 | 0:8 1:26 2:58 | A:449755610;C:362812678;G:397503125;T:427235434;N:263253 | 8 | 26 | 58 | 449755610 | 362812678 | 397503125 | 427235434 | 263253 | SRX9142576 | SRS7383880 | SRA1127180 | GEO | Harvard University | 1 | 0.94465 | 0.10236 | 0.83532 | 0.48247 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61304 | 61304 | SRR12661687 | SRX9142576 | SRS7383880 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr20hpf1 S1 | GSM4793193 | source name:zebrafish brain|tissue:brain|developmental stage:20hpf | zBr20hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:20hpf | GSM4793193 | GSM4793193: zBr20hpf1 S1; Danio rerio; RNA Seq | GSM4793193 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793193 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr20hpf1 S1 L004 I1 001.fastq.gz read2PairFiles=zBr20hpf1 S1 L004 R1 001.fastq.gz read3PairFiles=zBr20hpf1 S1 L004 R2 001.fastq.gz | zBr20hpf1_S1_L004_I1_001.fastq.gz zBr20hpf1_S1_L004_R1_001.fastq.gz zBr20hpf1_S1_L004_R2_001.fastq.gz | fastq fastq fastq | 1691787724.0 | 18388997.0 | GSM4793193 r4 | 0:8 1:26 2:58 | A:463427943;C:375377365;G:412594467;T:440177154;N:210795 | 8 | 26 | 58 | 463427943 | 375377365 | 412594467 | 440177154 | 210795 | SRX9142576 | SRS7383880 | SRA1127180 | GEO | Harvard University | 1 | 0.94532 | 0.09928 | 0.83305 | 0.4692 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61305 | 61305 | SRR12661552 | SRX9142575 | SRS7383879 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf2 18S S4 | GSM4793192 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf2 18S S4 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793192 | GSM4793192: zBr18hpf2 18S S4; Danio rerio; RNA Seq | GSM4793192 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793192 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf2 18S S4 L001 I1 001.fastq.gz read2PairFiles=zBr18hpf2 18S S4 L001 R1 001.fastq.gz read3PairFiles=zBr18hpf2 18S S4 L001 R2 001.fastq.gz | zBr18hpf2_18S_S4_L001_I1_001.fastq.gz zBr18hpf2_18S_S4_L001_R1_001.fastq.gz zBr18hpf2_18S_S4_L001_R2_001.fastq.gz | fastq fastq fastq | 2245095320.0 | 24403210.0 | GSM4793192 r1 | 0:8 1:26 2:58 | A:613524159;C:501131702;G:550080994;T:580162092;N:196373 | 8 | 26 | 58 | 613524159 | 501131702 | 550080994 | 580162092 | 196373 | SRX9142575 | SRS7383879 | SRA1127180 | GEO | Harvard University | 1 | 0.94061 | 0.12174 | 0.81639 | 0.47871 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61306 | 61306 | SRR12661553 | SRX9142575 | SRS7383879 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf2 18S S4 | GSM4793192 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf2 18S S4 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793192 | GSM4793192: zBr18hpf2 18S S4; Danio rerio; RNA Seq | GSM4793192 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793192 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf2 18S S4 L002 I1 001.fastq.gz read2PairFiles=zBr18hpf2 18S S4 L002 R1 001.fastq.gz read3PairFiles=zBr18hpf2 18S S4 L002 R2 001.fastq.gz | zBr18hpf2_18S_S4_L002_I1_001.fastq.gz zBr18hpf2_18S_S4_L002_R1_001.fastq.gz zBr18hpf2_18S_S4_L002_R2_001.fastq.gz | fastq fastq fastq | 2159426116.0 | 23472023.0 | GSM4793192 r2 | 0:8 1:26 2:58 | A:591755308;C:482099749;G:527517530;T:557879947;N:173582 | 8 | 26 | 58 | 591755308 | 482099749 | 527517530 | 557879947 | 173582 | SRX9142575 | SRS7383879 | SRA1127180 | GEO | Harvard University | 1 | 0.9424 | 0.1235 | 0.81799 | 0.50256 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61307 | 61307 | SRR12661554 | SRX9142575 | SRS7383879 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf2 18S S4 | GSM4793192 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf2 18S S4 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793192 | GSM4793192: zBr18hpf2 18S S4; Danio rerio; RNA Seq | GSM4793192 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793192 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf2 18S S4 L003 I1 001.fastq.gz read2PairFiles=zBr18hpf2 18S S4 L003 R1 001.fastq.gz read3PairFiles=zBr18hpf2 18S S4 L003 R2 001.fastq.gz | zBr18hpf2_18S_S4_L003_I1_001.fastq.gz zBr18hpf2_18S_S4_L003_R1_001.fastq.gz zBr18hpf2_18S_S4_L003_R2_001.fastq.gz | fastq fastq fastq | 2207837896.0 | 23998238.0 | GSM4793192 r3 | 0:8 1:26 2:58 | A:603401720;C:492449088;G:541664815;T:570168873;N:153400 | 8 | 26 | 58 | 603401720 | 492449088 | 541664815 | 570168873 | 153400 | SRX9142575 | SRS7383879 | SRA1127180 | GEO | Harvard University | 1 | 0.9405 | 0.12318 | 0.81363 | 0.504 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61308 | 61308 | SRR12661555 | SRX9142575 | SRS7383879 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf2 18S S4 | GSM4793192 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf2 18S S4 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793192 | GSM4793192: zBr18hpf2 18S S4; Danio rerio; RNA Seq | GSM4793192 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793192 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf2 18S S4 L004 I1 001.fastq.gz read2PairFiles=zBr18hpf2 18S S4 L004 R1 001.fastq.gz read3PairFiles=zBr18hpf2 18S S4 L004 R2 001.fastq.gz | zBr18hpf2_18S_S4_L004_I1_001.fastq.gz zBr18hpf2_18S_S4_L004_R1_001.fastq.gz zBr18hpf2_18S_S4_L004_R2_001.fastq.gz | fastq fastq fastq | 2185438104.0 | 23754762.0 | GSM4793192 r4 | 0:8 1:26 2:58 | A:597870424;C:487183564;G:535849987;T:564386371;N:147758 | 8 | 26 | 58 | 597870424 | 487183564 | 535849987 | 564386371 | 147758 | SRX9142575 | SRS7383879 | SRA1127180 | GEO | Harvard University | 1 | 0.94156 | 0.12132 | 0.81637 | 0.49546 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61309 | 61309 | SRR12661548 | SRX9142574 | SRS7383878 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf1 18S S3 | GSM4793191 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf1 18S S3 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793191 | GSM4793191: zBr18hpf1 18S S3; Danio rerio; RNA Seq | GSM4793191 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793191 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf1 18S S3 L001 I1 001.fastq.gz read2PairFiles=zBr18hpf1 18S S3 L001 R1 001.fastq.gz read3PairFiles=zBr18hpf1 18S S3 L001 R2 001.fastq.gz | zBr18hpf1_18S_S3_L001_I1_001.fastq.gz zBr18hpf1_18S_S3_L001_R1_001.fastq.gz zBr18hpf1_18S_S3_L001_R2_001.fastq.gz | fastq fastq fastq | 2214588488.0 | 24071614.0 | GSM4793191 r1 | 0:8 1:26 2:58 | A:602278908;C:489477732;G:542009992;T:580626962;N:194894 | 8 | 26 | 58 | 602278908 | 489477732 | 542009992 | 580626962 | 194894 | SRX9142574 | SRS7383878 | SRA1127180 | GEO | Harvard University | 1 | 0.94194 | 0.11869 | 0.81805 | 0.49559 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61310 | 61310 | SRR12661549 | SRX9142574 | SRS7383878 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf1 18S S3 | GSM4793191 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf1 18S S3 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793191 | GSM4793191: zBr18hpf1 18S S3; Danio rerio; RNA Seq | GSM4793191 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793191 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf1 18S S3 L002 I1 001.fastq.gz read2PairFiles=zBr18hpf1 18S S3 L002 R1 001.fastq.gz read3PairFiles=zBr18hpf1 18S S3 L002 R2 001.fastq.gz | zBr18hpf1_18S_S3_L002_I1_001.fastq.gz zBr18hpf1_18S_S3_L002_R1_001.fastq.gz zBr18hpf1_18S_S3_L002_R2_001.fastq.gz | fastq fastq fastq | 2129138704.0 | 23142812.0 | GSM4793191 r2 | 0:8 1:26 2:58 | A:580775137;C:470741441;G:519375169;T:558073432;N:173525 | 8 | 26 | 58 | 580775137 | 470741441 | 519375169 | 558073432 | 173525 | SRX9142574 | SRS7383878 | SRA1127180 | GEO | Harvard University | 1 | 0.94091 | 0.11843 | 0.8214 | 0.49562 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61311 | 61311 | SRR12661550 | SRX9142574 | SRS7383878 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf1 18S S3 | GSM4793191 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf1 18S S3 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793191 | GSM4793191: zBr18hpf1 18S S3; Danio rerio; RNA Seq | GSM4793191 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793191 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf1 18S S3 L003 I1 001.fastq.gz read2PairFiles=zBr18hpf1 18S S3 L003 R1 001.fastq.gz read3PairFiles=zBr18hpf1 18S S3 L003 R2 001.fastq.gz | zBr18hpf1_18S_S3_L003_I1_001.fastq.gz zBr18hpf1_18S_S3_L003_R1_001.fastq.gz zBr18hpf1_18S_S3_L003_R2_001.fastq.gz | fastq fastq fastq | 2178649056.0 | 23680968.0 | GSM4793191 r3 | 0:8 1:26 2:58 | A:592436446;C:481175426;G:534076582;T:570810730;N:149872 | 8 | 26 | 58 | 592436446 | 481175426 | 534076582 | 570810730 | 149872 | SRX9142574 | SRS7383878 | SRA1127180 | GEO | Harvard University | 1 | 0.94301 | 0.11942 | 0.81836 | 0.50631 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61312 | 61312 | SRR12661551 | SRX9142574 | SRS7383878 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr18hpf1 18S S3 | GSM4793191 | source name:zebrafish brain|tissue:brain|developmental stage:18hpf 18somites | zBr18hpf1 18S S3 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:18hpf 18somites | GSM4793191 | GSM4793191: zBr18hpf1 18S S3; Danio rerio; RNA Seq | GSM4793191 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793191 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr18hpf1 18S S3 L004 I1 001.fastq.gz read2PairFiles=zBr18hpf1 18S S3 L004 R1 001.fastq.gz read3PairFiles=zBr18hpf1 18S S3 L004 R2 001.fastq.gz | zBr18hpf1_18S_S3_L004_I1_001.fastq.gz zBr18hpf1_18S_S3_L004_R1_001.fastq.gz zBr18hpf1_18S_S3_L004_R2_001.fastq.gz | fastq fastq fastq | 2155279216.0 | 23426948.0 | GSM4793191 r4 | 0:8 1:26 2:58 | A:586891679;C:475865156;G:527755230;T:564621403;N:145748 | 8 | 26 | 58 | 586891679 | 475865156 | 527755230 | 564621403 | 145748 | SRX9142574 | SRS7383878 | SRA1127180 | GEO | Harvard University | 1 | 0.94308 | 0.11824 | 0.81891 | 0.50058 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61313 | 61313 | SRR12661544 | SRX9142573 | SRS7383877 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf2 14S S2 | GSM4793190 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf2 14S S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793190 | GSM4793190: zBr16hpf2 14S S2; Danio rerio; RNA Seq | GSM4793190 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793190 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf2 14S S2 L001 I1 001.fastq.gz read2PairFiles=zBr16hpf2 14S S2 L001 R1 001.fastq.gz read3PairFiles=zBr16hpf2 14S S2 L001 R2 001.fastq.gz | zBr16hpf2_14S_S2_L001_I1_001.fastq.gz zBr16hpf2_14S_S2_L001_R1_001.fastq.gz zBr16hpf2_14S_S2_L001_R2_001.fastq.gz | fastq fastq fastq | 2073007572.0 | 22532691.0 | GSM4793190 r1 | 0:8 1:26 2:58 | A:572862969;C:454174472;G:503190354;T:542601337;N:178440 | 8 | 26 | 58 | 572862969 | 454174472 | 503190354 | 542601337 | 178440 | SRX9142573 | SRS7383877 | SRA1127180 | GEO | Harvard University | 1 | 0.94007 | 0.1204 | 0.82629 | 0.49735 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61314 | 61314 | SRR12661545 | SRX9142573 | SRS7383877 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf2 14S S2 | GSM4793190 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf2 14S S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793190 | GSM4793190: zBr16hpf2 14S S2; Danio rerio; RNA Seq | GSM4793190 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793190 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf2 14S S2 L002 I1 001.fastq.gz read2PairFiles=zBr16hpf2 14S S2 L002 R1 001.fastq.gz read3PairFiles=zBr16hpf2 14S S2 L002 R2 001.fastq.gz | zBr16hpf2_14S_S2_L002_I1_001.fastq.gz zBr16hpf2_14S_S2_L002_R1_001.fastq.gz zBr16hpf2_14S_S2_L002_R2_001.fastq.gz | fastq fastq fastq | 1991134748.0 | 21642769.0 | GSM4793190 r2 | 0:8 1:26 2:58 | A:552124530;C:436378536;G:481647901;T:520828998;N:154783 | 8 | 26 | 58 | 552124530 | 436378536 | 481647901 | 520828998 | 154783 | SRX9142573 | SRS7383877 | SRA1127180 | GEO | Harvard University | 1 | 0.94071 | 0.12012 | 0.82741 | 0.48929 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61315 | 61315 | SRR12661546 | SRX9142573 | SRS7383877 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf2 14S S2 | GSM4793190 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf2 14S S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793190 | GSM4793190: zBr16hpf2 14S S2; Danio rerio; RNA Seq | GSM4793190 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793190 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf2 14S S2 L003 I1 001.fastq.gz read2PairFiles=zBr16hpf2 14S S2 L003 R1 001.fastq.gz read3PairFiles=zBr16hpf2 14S S2 L003 R2 001.fastq.gz | zBr16hpf2_14S_S2_L003_I1_001.fastq.gz zBr16hpf2_14S_S2_L003_R1_001.fastq.gz zBr16hpf2_14S_S2_L003_R2_001.fastq.gz | fastq fastq fastq | 2019616752.0 | 21952356.0 | GSM4793190 r3 | 0:8 1:26 2:58 | A:558279607;C:442003592;G:490855535;T:528340468;N:137550 | 8 | 26 | 58 | 558279607 | 442003592 | 490855535 | 528340468 | 137550 | SRX9142573 | SRS7383877 | SRA1127180 | GEO | Harvard University | 1 | 0.94077 | 0.1202 | 0.82449 | 0.4893 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61316 | 61316 | SRR12661547 | SRX9142573 | SRS7383877 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf2 14S S2 | GSM4793190 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf2 14S S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793190 | GSM4793190: zBr16hpf2 14S S2; Danio rerio; RNA Seq | GSM4793190 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793190 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf2 14S S2 L004 I1 001.fastq.gz read2PairFiles=zBr16hpf2 14S S2 L004 R1 001.fastq.gz read3PairFiles=zBr16hpf2 14S S2 L004 R2 001.fastq.gz | zBr16hpf2_14S_S2_L004_I1_001.fastq.gz zBr16hpf2_14S_S2_L004_R1_001.fastq.gz zBr16hpf2_14S_S2_L004_R2_001.fastq.gz | fastq fastq fastq | 2002314680.0 | 21764290.0 | GSM4793190 r4 | 0:8 1:26 2:58 | A:554197446;C:438127593;G:486247652;T:523609318;N:132671 | 8 | 26 | 58 | 554197446 | 438127593 | 486247652 | 523609318 | 132671 | SRX9142573 | SRS7383877 | SRA1127180 | GEO | Harvard University | 1 | 0.94124 | 0.11893 | 0.82556 | 0.49886 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61317 | 61317 | SRR12661540 | SRX9142572 | SRS7383876 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf1 14S S1 | GSM4793189 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf1 14S S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793189 | GSM4793189: zBr16hpf1 14S S1; Danio rerio; RNA Seq | GSM4793189 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793189 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf1 14S S1 L001 I1 001.fastq.gz read2PairFiles=zBr16hpf1 14S S1 L001 R1 001.fastq.gz read3PairFiles=zBr16hpf1 14S S1 L001 R2 001.fastq.gz | zBr16hpf1_14S_S1_L001_I1_001.fastq.gz zBr16hpf1_14S_S1_L001_R1_001.fastq.gz zBr16hpf1_14S_S1_L001_R2_001.fastq.gz | fastq fastq fastq | 2466217780.0 | 26806715.0 | GSM4793189 r1 | 0:8 1:26 2:58 | A:674841173;C:544628387;G:596838231;T:649690435;N:219554 | 8 | 26 | 58 | 674841173 | 544628387 | 596838231 | 649690435 | 219554 | SRX9142572 | SRS7383876 | SRA1127180 | GEO | Harvard University | 1 | 0.94159 | 0.11655 | 0.82347 | 0.48113 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61318 | 61318 | SRR12661541 | SRX9142572 | SRS7383876 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf1 14S S1 | GSM4793189 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf1 14S S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793189 | GSM4793189: zBr16hpf1 14S S1; Danio rerio; RNA Seq | GSM4793189 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793189 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf1 14S S1 L002 I1 001.fastq.gz read2PairFiles=zBr16hpf1 14S S1 L002 R1 001.fastq.gz read3PairFiles=zBr16hpf1 14S S1 L002 R2 001.fastq.gz | zBr16hpf1_14S_S1_L002_I1_001.fastq.gz zBr16hpf1_14S_S1_L002_R1_001.fastq.gz zBr16hpf1_14S_S1_L002_R2_001.fastq.gz | fastq fastq fastq | 2372103896.0 | 25783738.0 | GSM4793189 r2 | 0:8 1:26 2:58 | A:651005451;C:524063378;G:572137084;T:624705675;N:192308 | 8 | 26 | 58 | 651005451 | 524063378 | 572137084 | 624705675 | 192308 | SRX9142572 | SRS7383876 | SRA1127180 | GEO | Harvard University | 1 | 0.9403 | 0.11673 | 0.82556 | 0.49807 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61319 | 61319 | SRR12661542 | SRX9142572 | SRS7383876 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf1 14S S1 | GSM4793189 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf1 14S S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793189 | GSM4793189: zBr16hpf1 14S S1; Danio rerio; RNA Seq | GSM4793189 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793189 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf1 14S S1 L003 I1 001.fastq.gz read2PairFiles=zBr16hpf1 14S S1 L003 R1 001.fastq.gz read3PairFiles=zBr16hpf1 14S S1 L003 R2 001.fastq.gz | zBr16hpf1_14S_S1_L003_I1_001.fastq.gz zBr16hpf1_14S_S1_L003_R1_001.fastq.gz zBr16hpf1_14S_S1_L003_R2_001.fastq.gz | fastq fastq fastq | 2426820620.0 | 26378485.0 | GSM4793189 r3 | 0:8 1:26 2:58 | A:664096049;C:535519834;G:588171519;T:638867831;N:165387 | 8 | 26 | 58 | 664096049 | 535519834 | 588171519 | 638867831 | 165387 | SRX9142572 | SRS7383876 | SRA1127180 | GEO | Harvard University | 1 | 0.94107 | 0.11777 | 0.82337 | 0.48533 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61320 | 61320 | SRR12661543 | SRX9142572 | SRS7383876 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr16hpf1 14S S1 | GSM4793189 | source name:zebrafish brain|tissue:brain|developmental stage:16hpf 14somites | zBr16hpf1 14S S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:16hpf 14somites | GSM4793189 | GSM4793189: zBr16hpf1 14S S1; Danio rerio; RNA Seq | GSM4793189 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793189 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr16hpf1 14S S1 L004 I1 001.fastq.gz read2PairFiles=zBr16hpf1 14S S1 L004 R1 001.fastq.gz read3PairFiles=zBr16hpf1 14S S1 L004 R2 001.fastq.gz | zBr16hpf1_14S_S1_L004_I1_001.fastq.gz zBr16hpf1_14S_S1_L004_R1_001.fastq.gz zBr16hpf1_14S_S1_L004_R2_001.fastq.gz | fastq fastq fastq | 2401932228.0 | 26107959.0 | GSM4793189 r4 | 0:8 1:26 2:58 | A:657947813;C:529891104;G:581693767;T:632237159;N:162385 | 8 | 26 | 58 | 657947813 | 529891104 | 581693767 | 632237159 | 162385 | SRX9142572 | SRS7383876 | SRA1127180 | GEO | Harvard University | 1 | 0.94082 | 0.1175 | 0.82449 | 0.46907 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61321 | 61321 | SRR12661536 | SRX9142571 | SRS7383875 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf2 10S S6 | GSM4793188 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf2 10S S6 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793188 | GSM4793188: zBr14hpf2 10S S6; Danio rerio; RNA Seq | GSM4793188 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793188 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf2 10S S6 L001 I1 001.fastq.gz read2PairFiles=zBr14hpf2 10S S6 L001 R1 001.fastq.gz read3PairFiles=zBr14hpf2 10S S6 L001 R2 001.fastq.gz | zBr14hpf2_10S_S6_L001_I1_001.fastq.gz zBr14hpf2_10S_S6_L001_R1_001.fastq.gz zBr14hpf2_10S_S6_L001_R2_001.fastq.gz | fastq fastq fastq | 1531779668.0 | 16649779.0 | GSM4793188 r1 | 0:8 1:26 2:58 | A:420873884;C:337607213;G:372541766;T:400392197;N:364608 | 8 | 26 | 58 | 420873884 | 337607213 | 372541766 | 400392197 | 364608 | SRX9142571 | SRS7383875 | SRA1127180 | GEO | Harvard University | 1 | 0.93822 | 0.11829 | 0.82639 | 0.49362 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61322 | 61322 | SRR12661537 | SRX9142571 | SRS7383875 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf2 10S S6 | GSM4793188 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf2 10S S6 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793188 | GSM4793188: zBr14hpf2 10S S6; Danio rerio; RNA Seq | GSM4793188 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793188 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf2 10S S6 L002 I1 001.fastq.gz read2PairFiles=zBr14hpf2 10S S6 L002 R1 001.fastq.gz read3PairFiles=zBr14hpf2 10S S6 L002 R2 001.fastq.gz | zBr14hpf2_10S_S6_L002_I1_001.fastq.gz zBr14hpf2_10S_S6_L002_R1_001.fastq.gz zBr14hpf2_10S_S6_L002_R2_001.fastq.gz | fastq fastq fastq | 1506595864.0 | 16376042.0 | GSM4793188 r2 | 0:8 1:26 2:58 | A:416561484;C:332264478;G:364073758;T:393390330;N:305814 | 8 | 26 | 58 | 416561484 | 332264478 | 364073758 | 393390330 | 305814 | SRX9142571 | SRS7383875 | SRA1127180 | GEO | Harvard University | 1 | 0.93732 | 0.11656 | 0.82968 | 0.4953 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61323 | 61323 | SRR12661538 | SRX9142571 | SRS7383875 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf2 10S S6 | GSM4793188 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf2 10S S6 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793188 | GSM4793188: zBr14hpf2 10S S6; Danio rerio; RNA Seq | GSM4793188 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793188 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf2 10S S6 L003 I1 001.fastq.gz read2PairFiles=zBr14hpf2 10S S6 L003 R1 001.fastq.gz read3PairFiles=zBr14hpf2 10S S6 L003 R2 001.fastq.gz | zBr14hpf2_10S_S6_L003_I1_001.fastq.gz zBr14hpf2_10S_S6_L003_R1_001.fastq.gz zBr14hpf2_10S_S6_L003_R2_001.fastq.gz | fastq fastq fastq | 1483349948.0 | 16123369.0 | GSM4793188 r3 | 0:8 1:26 2:58 | A:408070288;C:326152706;G:360535156;T:388358299;N:233499 | 8 | 26 | 58 | 408070288 | 326152706 | 360535156 | 388358299 | 233499 | SRX9142571 | SRS7383875 | SRA1127180 | GEO | Harvard University | 1 | 0.93652 | 0.11744 | 0.82923 | 0.48391 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61324 | 61324 | SRR12661539 | SRX9142571 | SRS7383875 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf2 10S S6 | GSM4793188 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf2 10S S6 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793188 | GSM4793188: zBr14hpf2 10S S6; Danio rerio; RNA Seq | GSM4793188 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793188 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf2 10S S6 L004 I1 001.fastq.gz read2PairFiles=zBr14hpf2 10S S6 L004 R1 001.fastq.gz read3PairFiles=zBr14hpf2 10S S6 L004 R2 001.fastq.gz | zBr14hpf2_10S_S6_L004_I1_001.fastq.gz zBr14hpf2_10S_S6_L004_R1_001.fastq.gz zBr14hpf2_10S_S6_L004_R2_001.fastq.gz | fastq fastq fastq | 1537207116.0 | 16708773.0 | GSM4793188 r4 | 0:8 1:26 2:58 | A:421463774;C:338684177;G:375486390;T:401383480;N:189295 | 8 | 26 | 58 | 421463774 | 338684177 | 375486390 | 401383480 | 189295 | SRX9142571 | SRS7383875 | SRA1127180 | GEO | Harvard University | 1 | 0.93834 | 0.11768 | 0.82586 | 0.5033 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61325 | 61325 | SRR12661532 | SRX9142570 | SRS7383874 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf1 10S S5 | GSM4793187 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf1 10S S5 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793187 | GSM4793187: zBr14hpf1 10S S5; Danio rerio; RNA Seq | GSM4793187 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793187 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf1 10S S5 L001 I1 001.fastq.gz read2PairFiles=zBr14hpf1 10S S5 L001 R1 001.fastq.gz read3PairFiles=zBr14hpf1 10S S5 L001 R2 001.fastq.gz | zBr14hpf1_10S_S5_L001_I1_001.fastq.gz zBr14hpf1_10S_S5_L001_R1_001.fastq.gz zBr14hpf1_10S_S5_L001_R2_001.fastq.gz | fastq fastq fastq | 1537667852.0 | 16713781.0 | GSM4793187 r1 | 0:8 1:26 2:58 | A:422127039;C:336294662;G:376066351;T:402814314;N:365486 | 8 | 26 | 58 | 422127039 | 336294662 | 376066351 | 402814314 | 365486 | SRX9142570 | SRS7383874 | SRA1127180 | GEO | Harvard University | 1 | 0.93669 | 0.12272 | 0.82828 | 0.50633 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61326 | 61326 | SRR12661533 | SRX9142570 | SRS7383874 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf1 10S S5 | GSM4793187 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf1 10S S5 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793187 | GSM4793187: zBr14hpf1 10S S5; Danio rerio; RNA Seq | GSM4793187 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793187 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf1 10S S5 L002 I1 001.fastq.gz read2PairFiles=zBr14hpf1 10S S5 L002 R1 001.fastq.gz read3PairFiles=zBr14hpf1 10S S5 L002 R2 001.fastq.gz | zBr14hpf1_10S_S5_L002_I1_001.fastq.gz zBr14hpf1_10S_S5_L002_R1_001.fastq.gz zBr14hpf1_10S_S5_L002_R2_001.fastq.gz | fastq fastq fastq | 1513261356.0 | 16448493.0 | GSM4793187 r2 | 0:8 1:26 2:58 | A:418207211;C:331095306;G:367578524;T:396076158;N:304157 | 8 | 26 | 58 | 418207211 | 331095306 | 367578524 | 396076158 | 304157 | SRX9142570 | SRS7383874 | SRA1127180 | GEO | Harvard University | 1 | 0.93515 | 0.12494 | 0.82944 | 0.48855 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61327 | 61327 | SRR12661534 | SRX9142570 | SRS7383874 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf1 10S S5 | GSM4793187 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf1 10S S5 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793187 | GSM4793187: zBr14hpf1 10S S5; Danio rerio; RNA Seq | GSM4793187 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793187 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf1 10S S5 L003 I1 001.fastq.gz read2PairFiles=zBr14hpf1 10S S5 L003 R1 001.fastq.gz read3PairFiles=zBr14hpf1 10S S5 L003 R2 001.fastq.gz | zBr14hpf1_10S_S5_L003_I1_001.fastq.gz zBr14hpf1_10S_S5_L003_R1_001.fastq.gz zBr14hpf1_10S_S5_L003_R2_001.fastq.gz | fastq fastq fastq | 1485111380.0 | 16142515.0 | GSM4793187 r3 | 0:8 1:26 2:58 | A:408170917;C:324002543;G:362920588;T:389784796;N:232536 | 8 | 26 | 58 | 408170917 | 324002543 | 362920588 | 389784796 | 232536 | SRX9142570 | SRS7383874 | SRA1127180 | GEO | Harvard University | 1 | 0.93423 | 0.12179 | 0.82798 | 0.49418 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61328 | 61328 | SRR12661535 | SRX9142570 | SRS7383874 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr14hpf1 10S S5 | GSM4793187 | source name:zebrafish brain|tissue:brain|developmental stage:14hpf 10somites | zBr14hpf1 10S S5 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:14hpf 10somites | GSM4793187 | GSM4793187: zBr14hpf1 10S S5; Danio rerio; RNA Seq | GSM4793187 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793187 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr14hpf1 10S S5 L004 I1 001.fastq.gz read2PairFiles=zBr14hpf1 10S S5 L004 R1 001.fastq.gz read3PairFiles=zBr14hpf1 10S S5 L004 R2 001.fastq.gz | zBr14hpf1_10S_S5_L004_I1_001.fastq.gz zBr14hpf1_10S_S5_L004_R1_001.fastq.gz zBr14hpf1_10S_S5_L004_R2_001.fastq.gz | fastq fastq fastq | 1543771960.0 | 16780130.0 | GSM4793187 r4 | 0:8 1:26 2:58 | A:422828628;C:337476631;G:379227920;T:404048890;N:189891 | 8 | 26 | 58 | 422828628 | 337476631 | 379227920 | 404048890 | 189891 | SRX9142570 | SRS7383874 | SRA1127180 | GEO | Harvard University | 1 | 0.93639 | 0.12103 | 0.82651 | 0.49721 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61329 | 61329 | SRR12661524 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2 S2 L001 I1 001.fastq.gz read2PairFiles=zBr12hpf2 S2 L001 R1 001.fastq.gz read3PairFiles=zBr12hpf2 S2 L001 R2 001.fastq.gz | zBr12hpf2_S2_L001_I1_001.fastq.gz zBr12hpf2_S2_L001_R1_001.fastq.gz zBr12hpf2_S2_L001_R2_001.fastq.gz | fastq fastq fastq | 1319889132.0 | 14346621.0 | GSM4793186 r1 | 0:8 1:26 2:58 | A:365364068;C:292924723;G:306435261;T:354952807;N:212273 | 8 | 26 | 58 | 365364068 | 292924723 | 306435261 | 354952807 | 212273 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94017 | 0.10576 | 0.87503 | 0.47805 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61330 | 61330 | SRR12661525 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2 S2 L002 I1 001.fastq.gz read2PairFiles=zBr12hpf2 S2 L002 R1 001.fastq.gz read3PairFiles=zBr12hpf2 S2 L002 R2 001.fastq.gz | zBr12hpf2_S2_L002_I1_001.fastq.gz zBr12hpf2_S2_L002_R1_001.fastq.gz zBr12hpf2_S2_L002_R2_001.fastq.gz | fastq fastq fastq | 1401826632.0 | 15237246.0 | GSM4793186 r2 | 0:8 1:26 2:58 | A:387181923;C:311646429;G:328763997;T:373919705;N:314578 | 8 | 26 | 58 | 387181923 | 311646429 | 328763997 | 373919705 | 314578 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94196 | 0.10428 | 0.86764 | 0.48501 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61331 | 61331 | SRR12661526 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2 S2 L003 I1 001.fastq.gz read2PairFiles=zBr12hpf2 S2 L003 R1 001.fastq.gz read3PairFiles=zBr12hpf2 S2 L003 R2 001.fastq.gz | zBr12hpf2_S2_L003_I1_001.fastq.gz zBr12hpf2_S2_L003_R1_001.fastq.gz zBr12hpf2_S2_L003_R2_001.fastq.gz | fastq fastq fastq | 1382196500.0 | 15023875.0 | GSM4793186 r3 | 0:8 1:26 2:58 | A:378920637;C:307241578;G:324142763;T:371767541;N:123981 | 8 | 26 | 58 | 378920637 | 307241578 | 324142763 | 371767541 | 123981 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94181 | 0.10374 | 0.87142 | 0.48802 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61332 | 61332 | SRR12661527 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2 S2 L004 I1 001.fastq.gz read2PairFiles=zBr12hpf2 S2 L004 R1 001.fastq.gz read3PairFiles=zBr12hpf2 S2 L004 R2 001.fastq.gz | zBr12hpf2_S2_L004_I1_001.fastq.gz zBr12hpf2_S2_L004_R1_001.fastq.gz zBr12hpf2_S2_L004_R2_001.fastq.gz | fastq fastq fastq | 1396349320.0 | 15177710.0 | GSM4793186 r4 | 0:8 1:26 2:58 | A:384801789;C:310616550;G:327699440;T:373103344;N:128197 | 8 | 26 | 58 | 384801789 | 310616550 | 327699440 | 373103344 | 128197 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94207 | 0.10548 | 0.87178 | 0.47549 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61333 | 61333 | SRR12661528 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2b S2 L001 I1 001.fastq.gz read2PairFiles=zBr12hpf2b S2 L001 R1 001.fastq.gz read3PairFiles=zBr12hpf2b S2 L001 R2 001.fastq.gz | zBr12hpf2b_S2_L001_I1_001.fastq.gz zBr12hpf2b_S2_L001_R1_001.fastq.gz zBr12hpf2b_S2_L001_R2_001.fastq.gz | fastq fastq fastq | 1476082592.0 | 16044376.0 | GSM4793186 r5 | 0:8 1:26 2:58 | A:397001997;C:326512420;G:359122618;T:392866651;N:578906 | 8 | 26 | 58 | 397001997 | 326512420 | 359122618 | 392866651 | 578906 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94521 | 0.09379 | 0.83414 | 0.48296 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61334 | 61334 | SRR12661529 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2b S2 L002 I1 001.fastq.gz read2PairFiles=zBr12hpf2b S2 L002 R1 001.fastq.gz read3PairFiles=zBr12hpf2b S2 L002 R2 001.fastq.gz | zBr12hpf2b_S2_L002_I1_001.fastq.gz zBr12hpf2b_S2_L002_R1_001.fastq.gz zBr12hpf2b_S2_L002_R2_001.fastq.gz | fastq fastq fastq | 1439443960.0 | 15646130.0 | GSM4793186 r6 | 0:8 1:26 2:58 | A:391336166;C:319076858;G:346241865;T:382298448;N:490623 | 8 | 26 | 58 | 391336166 | 319076858 | 346241865 | 382298448 | 490623 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94757 | 0.0974 | 0.83956 | 0.49093 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61335 | 61335 | SRR12661530 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2b S2 L003 I1 001.fastq.gz read2PairFiles=zBr12hpf2b S2 L003 R1 001.fastq.gz read3PairFiles=zBr12hpf2b S2 L003 R2 001.fastq.gz | zBr12hpf2b_S2_L003_I1_001.fastq.gz zBr12hpf2b_S2_L003_R1_001.fastq.gz zBr12hpf2b_S2_L003_R2_001.fastq.gz | fastq fastq fastq | 1332285028.0 | 14481359.0 | GSM4793186 r7 | 0:8 1:26 2:58 | A:363675496;C:294660861;G:316244639;T:357411128;N:292904 | 8 | 26 | 58 | 363675496 | 294660861 | 316244639 | 357411128 | 292904 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94428 | 0.09777 | 0.85506 | 0.48151 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61336 | 61336 | SRR12661531 | SRX9142569 | SRS7383873 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf2 S2 | GSM4793186 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf2 S2 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793186 | GSM4793186: zBr12hpf2 S2; Danio rerio; RNA Seq | GSM4793186 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793186 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf2b S2 L004 I1 001.fastq.gz read2PairFiles=zBr12hpf2b S2 L004 R1 001.fastq.gz read3PairFiles=zBr12hpf2b S2 L004 R2 001.fastq.gz | zBr12hpf2b_S2_L004_I1_001.fastq.gz zBr12hpf2b_S2_L004_R1_001.fastq.gz zBr12hpf2b_S2_L004_R2_001.fastq.gz | fastq fastq fastq | 1392878620.0 | 15139985.0 | GSM4793186 r8 | 0:8 1:26 2:58 | A:377888258;C:308446409;G:335321694;T:370938385;N:283874 | 8 | 26 | 58 | 377888258 | 308446409 | 335321694 | 370938385 | 283874 | SRX9142569 | SRS7383873 | SRA1127180 | GEO | Harvard University | 1 | 0.94642 | 0.09759 | 0.83759 | 0.45476 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61337 | 61337 | SRR12661516 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1 S1 L001 I1 001.fastq.gz read2PairFiles=zBr12hpf1 S1 L001 R1 001.fastq.gz read3PairFiles=zBr12hpf1 S1 L001 R2 001.fastq.gz | zBr12hpf1_S1_L001_I1_001.fastq.gz zBr12hpf1_S1_L001_R1_001.fastq.gz zBr12hpf1_S1_L001_R2_001.fastq.gz | fastq fastq fastq | 1770258756.0 | 19241943.0 | GSM4793185 r1 | 0:8 1:26 2:58 | A:487954269;C:394067531;G:414708165;T:473246705;N:282086 | 8 | 26 | 58 | 487954269 | 394067531 | 414708165 | 473246705 | 282086 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.94055 | 0.10658 | 0.87336 | 0.47563 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61338 | 61338 | SRR12661517 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1 S1 L002 I1 001.fastq.gz read2PairFiles=zBr12hpf1 S1 L002 R1 001.fastq.gz read3PairFiles=zBr12hpf1 S1 L002 R2 001.fastq.gz | zBr12hpf1_S1_L002_I1_001.fastq.gz zBr12hpf1_S1_L002_R1_001.fastq.gz zBr12hpf1_S1_L002_R2_001.fastq.gz | fastq fastq fastq | 1884577496.0 | 20484538.0 | GSM4793185 r2 | 0:8 1:26 2:58 | A:518516274;C:420150808;G:445696909;T:499796120;N:417385 | 8 | 26 | 58 | 518516274 | 420150808 | 445696909 | 499796120 | 417385 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.94103 | 0.10852 | 0.8692 | 0.47056 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61339 | 61339 | SRR12661518 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1 S1 L003 I1 001.fastq.gz read2PairFiles=zBr12hpf1 S1 L003 R1 001.fastq.gz read3PairFiles=zBr12hpf1 S1 L003 R2 001.fastq.gz | zBr12hpf1_S1_L003_I1_001.fastq.gz zBr12hpf1_S1_L003_R1_001.fastq.gz zBr12hpf1_S1_L003_R2_001.fastq.gz | fastq fastq fastq | 1855610376.0 | 20169678.0 | GSM4793185 r3 | 0:8 1:26 2:58 | A:506634432;C:413625169;G:439053060;T:496134272;N:163443 | 8 | 26 | 58 | 506634432 | 413625169 | 439053060 | 496134272 | 163443 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.94188 | 0.10631 | 0.87351 | 0.47992 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61340 | 61340 | SRR12661519 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1 S1 L004 I1 001.fastq.gz read2PairFiles=zBr12hpf1 S1 L004 R1 001.fastq.gz read3PairFiles=zBr12hpf1 S1 L004 R2 001.fastq.gz | zBr12hpf1_S1_L004_I1_001.fastq.gz zBr12hpf1_S1_L004_R1_001.fastq.gz zBr12hpf1_S1_L004_R2_001.fastq.gz | fastq fastq fastq | 1877838588.0 | 20411289.0 | GSM4793185 r4 | 0:8 1:26 2:58 | A:515452323;C:418841907;G:444542994;T:498828150;N:173214 | 8 | 26 | 58 | 515452323 | 418841907 | 444542994 | 498828150 | 173214 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.93999 | 0.10753 | 0.87192 | 0.47745 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61341 | 61341 | SRR12661520 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1b S1 L001 I1 001.fastq.gz read2PairFiles=zBr12hpf1b S1 L001 R1 001.fastq.gz read3PairFiles=zBr12hpf1b S1 L001 R2 001.fastq.gz | zBr12hpf1b_S1_L001_I1_001.fastq.gz zBr12hpf1b_S1_L001_R1_001.fastq.gz zBr12hpf1b_S1_L001_R2_001.fastq.gz | fastq fastq fastq | 1985080964.0 | 21576967.0 | GSM4793185 r5 | 0:8 1:26 2:58 | A:532808565;C:439927042;G:486211847;T:525368008;N:765502 | 8 | 26 | 58 | 532808565 | 439927042 | 486211847 | 525368008 | 765502 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.9448 | 0.0961 | 0.83575 | 0.47861 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61342 | 61342 | SRR12661521 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1b S1 L002 I1 001.fastq.gz read2PairFiles=zBr12hpf1b S1 L002 R1 001.fastq.gz read3PairFiles=zBr12hpf1b S1 L002 R2 001.fastq.gz | zBr12hpf1b_S1_L002_I1_001.fastq.gz zBr12hpf1b_S1_L002_R1_001.fastq.gz zBr12hpf1b_S1_L002_R2_001.fastq.gz | fastq fastq fastq | 1938481308.0 | 21070449.0 | GSM4793185 r6 | 0:8 1:26 2:58 | A:525810043;C:430538781;G:469587494;T:511885220;N:659770 | 8 | 26 | 58 | 525810043 | 430538781 | 469587494 | 511885220 | 659770 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.94516 | 0.10027 | 0.83958 | 0.48876 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61343 | 61343 | SRR12661522 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1b S1 L003 I1 001.fastq.gz read2PairFiles=zBr12hpf1b S1 L003 R1 001.fastq.gz read3PairFiles=zBr12hpf1b S1 L003 R2 001.fastq.gz | zBr12hpf1b_S1_L003_I1_001.fastq.gz zBr12hpf1b_S1_L003_R1_001.fastq.gz zBr12hpf1b_S1_L003_R2_001.fastq.gz | fastq fastq fastq | 1785529376.0 | 19407928.0 | GSM4793185 r7 | 0:8 1:26 2:58 | A:486068803;C:395678143;G:427372563;T:476029628;N:380239 | 8 | 26 | 58 | 486068803 | 395678143 | 427372563 | 476029628 | 380239 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.94413 | 0.10243 | 0.85456 | 0.48333 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 61344 | 61344 | SRR12661523 | SRX9142568 | SRS7383872 | SRP282920 | PRJNA664124 | Emergence of neuronal diversity during vertebrate brain development | GSE158142 | Transcriptome Analysis | Neurogenesis comprises many steps from progenitor proliferation to neuronal differentiation and maturation. These processes are highly regulated but the landscape of transcriptional changes underlying brain development are poorly characterized. Here we describe a developmental single cell RNA seq catalog of 220 000 zebrafish brain cells encompassing 12 stages from 12 hpf to 15 dpf We characterize known and novel gene markers for 800 clusters and provide an overview of the diversification of neurons and progenitors across these timepoints. We also introduce an optimized version of the GESTALT lineage recorder that enables higher expression and recovery of Cas9 edited barcodes to query lineage segregation. Cell type characterization indicates that most embryonic neural progenitor states are transitory and transcriptionally distinct from neural progenitors of post embryonic stages. Reconstruction of cell specification trajectories reveals that late stage retinal neural progenitors transcriptionally overlap cell states observed in the embryo. The zebrafish brain development atlas provides a resource to define and manipulate specific subsets of neurons and to uncover the molecular mechanisms underlying vertebrate neurogenesis. Overall design: 10X Genomics v2 scRNA seq libraries and scGESTALT | pubmed:33068532 | zBr12hpf1 S1 | GSM4793185 | source name:zebrafish brain|tissue:brain|developmental stage:12hpf 6somites | zBr12hpf1 S1 | Single cell RNA Sequencing data FASTQ files were processed using Cell Ranger v2.0.2 to generate count matrices Transcriptome libraries were mapped to a zebrafish reference built from a custom GTF file and the zebrafish GRCz10 release 86 genome assembly. File uploaded as Danio rerio.GRCz10.86.modified.gtf.gz. Some libraries were sequenced twice as technical replicates marked as *b in raw files and the processing was done using the combination of all data processed data files have comb* prefix scGESTALT libraries were processed using a custom pipeline available at https://github.com/shendurelab/Cas9FateMapping Genome build: GRCz10 Supplementary files format and content: *barcodes.tsv files contain 10X Genomics cell barcodes *genes.tsv files contain gene names *matrix.mtx contain transcriptome count data *web summary.html contain summary statistics for transcript mapping .rds files are the processed R objects .txt files contain marker genes identified for each cluster in the dataset URD*.rds files are the processed R objects for performing URD cell trajectory analysis. tree*.rds files are the final URD objects with cell trajectory trees for the retina and hypothalamus. Supplementary files format and content: scGESTALT data: Gest zBr15dpf8 and Gest zBr15dpf9 correspond to two samples from the same zebrafish ZF1. Gest zBr15dpf10 and Gest zBr15dpf11 correspond to two samples from the same zebrafish ZF2. Gest zBr15dpf12 and Gest zBr15dpf13 correspond to two samples from the same zebrafish ZF3. Gest zBr15dpf14 and Gest zBr15dpf15 correspond to two samples from the same zebrafish ZF4. Supplementary files format and content: scGESTALT data: *GestMaster.txt contains the 10X Genmoics cell identifiers CellBarcode and CellUMI that were used to matchlineage barcodes to transcriptomes. They also contain lineage barcode sequences HMID column the t SNE cluster membership number ClusterIdent column and unique identifier Readname. zfAllMerge FILTEREDUSEME.xlsx contains the merged statistics of all samples filtered to cont… | zebrafish brain | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | tissue:brain|developmental stage:12hpf 6somites | GSM4793185 | GSM4793185: zBr12hpf1 S1; Danio rerio; RNA Seq | GSM4793185 | 1 | Libraries were prepared as described in manufacturer's protocol for v2 kits Single cell suspensions were processed through 10X Genomics v2 kits according to manufacturer's protocol to generate single cell cDNA libraries and prepared for sequencing | GEO Accession:GSM4793185 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP282920 | loader:fastq load.py|options: platform=Illumina readTypes=TTB read1PairFiles=zBr12hpf1b S1 L004 I1 001.fastq.gz read2PairFiles=zBr12hpf1b S1 L004 R1 001.fastq.gz read3PairFiles=zBr12hpf1b S1 L004 R2 001.fastq.gz | zBr12hpf1b_S1_L004_I1_001.fastq.gz zBr12hpf1b_S1_L004_R1_001.fastq.gz zBr12hpf1b_S1_L004_R2_001.fastq.gz | fastq fastq fastq | 1870339944.0 | 20329782.0 | GSM4793185 r8 | 0:8 1:26 2:58 | A:506449824;C:414955605;G:453319112;T:495229592;N:385811 | 8 | 26 | 58 | 506449824 | 414955605 | 453319112 | 495229592 | 385811 | SRX9142568 | SRS7383872 | SRA1127180 | GEO | Harvard University | 1 | 0.94608 | 0.10186 | 0.83792 | 0.48186 | 58 | B | usable mapping rate | illumina | nextseq | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | United States | 2020-09-17 | Segmentation | Embryo | Brain | Nervous System | ||||||||||||||||
| 65480 | 65480 | SRR15321083 | SRX11625561 | SRS9659652 | SRP330794 | PRJNA751418 | Epigenetic dynamics shaping melanophore and iridophore cell fate in zebrafish | GSE181287 | Other | We charted the global changes in the epigenetic landscape including DNA methylation and chromatin accessibility during neural crest differentiation into melanophores and iridophores in zebrafish to identify epigenetic determinants shaping cell type specific gene expression. Motif enrichment in the epigenetically dynamic regions revealed putative transcription factors that might be responsible for driving pigment cell identity. Through this effort in the relatively uncharacterized iridophores we validate alx4a as a necessary and sufficient transcription factor for iridophore differentiation and present evidence on alx4a's potential regulatory role in guanine synthesis pathway. Overall design: ATAC seq RNA Seq WGBS were generated for 15 somite NCC 24 hpf NCC 4 dpf 5 dpf Melanophore and 4 dpf 5 dpf Iridophore cells from zebrafish. | pubmed:34607603 | RNA seq 15somite NCC rep2 | GSM5494233 | tissue:Neural crest cells|genotype:TgcrestinA:EGFP|developmental stage:15 somite|cell type:Neural crest cells | RNA seq 15somite NCC rep2 | All libraries were sequenced on Illumina NextSeq 500 platforms. Reads were adapter trimmed with cutadapt. RNA seq reads were aligned to danRer10 genome using STAR. WGBS reads were aligned to danRer10 using bismark with standard parameters. omniATAC seq reads were aligned to danRer10 using bwa mem. Genome build: danRer10 Supplementary files format and content: bigWig bedGraph and text files. | Neural crest cells | TgcrestinA:EGFP embryos at designated biological time points were dechorionated with Pronase rinsed with egg water to remove the chorion and collected into 1.5ml Eppendorf tubes on ice. 4 dpf 5 dpf mlphaj120 larvae were anesthetized with Tricane for 15 minutes and collected into 50ml conical tubes on ice. | Single cells were dissociated from embryos using Gibco TrypLE Express enzyme solution. Neural crest GFP positive cells were sorted and collected on Beckman Couter MoFlo. Melanophore and iridophore were isolated using published protocol developed by the Johnson lab Higdon et al. 2013. Genomic DNA for WGBS was purified from NCCs and pigment cells via phenol chloroform:isoamyl alcohol PCI extraction and ethanol precipitation method. RNA was collected using Trizol following manufacturer's recommendation. Published omniATAC seq protocol was followed to extract materials for ATAC seq. RNA seq libraries were then constructed with TruSeq RNA Library Prep Kit v2 Illumina RS 122 2001 following manufacturer’s instructions. gDNA was bisulfite treated using EZ DNA Methylation Direct kit Zymo D5020 and processed with TruSeq DNA Methylation Kit Illumina 15066014 to generate Illumina compatible WGBS libraries. Published omniATAC seq was followed to generate ATAC seq data. | genotype:TgcrestinA:EGFP|developmental stage:15 somite|cell type:Neural crest cells | GSM5494233 | GSM5494233: RNA seq 15somite NCC rep2; Danio rerio; RNA Seq | GSM5494233 | 1 | Single cells were dissociated from embryos using Gibco TrypLE Express enzyme solution. Neural crest GFP positive cells were sorted and collected on Beckman Couter MoFlo. Melanophore and iridophore were isolated using published protocol developed by the Johnson lab Higdon et al. 2013. Genomic DNA for WGBS was purified from NCCs and pigment cells via phenol chloroform:isoamyl alcohol PCI extraction and ethanol precipitation method. RNA was collected using Trizol following manufacturer's recommendation. Published omniATAC seq protocol was followed to extract materials for ATAC seq. RNA seq libraries were then constructed with TruSeq RNA Library Prep Kit v2 Illumina RS 122 2001 following manufacturer's instructions. gDNA was bisulfite treated using EZ DNA Methylation Direct kit Zymo D5020 and processed with TruSeq DNA Methylation Kit Illumina 15066014 to generate Illumina compatible WGBS libraries. Published omniATAC seq was followed to generate ATAC seq data. | GEO Accession:GSM5494233 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP330794 | RNA_15somite_GFPpositive_Rep2_R1.fastq.gz RNA_15somite_GFPpositive_Rep2_R2.fastq.gz | fastq fastq | 12345817350.0 | 82305449.0 | GSM5494233 r1 | 0:75 1:75 | A:3205348060;C:2986348356;G:2961321721;T:3189065016;N:3734197 | 75 | 75 | 3205348060 | 2986348356 | 2961321721 | 3189065016 | 3734197 | SRX11625561 | SRS9659652 | SRA1268156 | GEO | Ting Wang Lab, Genetics, Washington University in St. Louis | 2 | 0.9469 | 0.94234 | 0.09688 | 0.09669 | 0.72425 | 0.72697 | 0.47109 | 0.47154 | 75 | 75 | B | B | biological fallback assumption | illumina | nextseq | unknown | cdna_unspecified | trueseq | bulk | unknown | unknown | United States | 2021-08-01 | Segmentation | Embryo | Brain | Nervous System | |||||||||||
| 65481 | 65481 | SRR15321082 | SRX11625560 | SRS9659651 | SRP330794 | PRJNA751418 | Epigenetic dynamics shaping melanophore and iridophore cell fate in zebrafish | GSE181287 | Other | We charted the global changes in the epigenetic landscape including DNA methylation and chromatin accessibility during neural crest differentiation into melanophores and iridophores in zebrafish to identify epigenetic determinants shaping cell type specific gene expression. Motif enrichment in the epigenetically dynamic regions revealed putative transcription factors that might be responsible for driving pigment cell identity. Through this effort in the relatively uncharacterized iridophores we validate alx4a as a necessary and sufficient transcription factor for iridophore differentiation and present evidence on alx4a's potential regulatory role in guanine synthesis pathway. Overall design: ATAC seq RNA Seq WGBS were generated for 15 somite NCC 24 hpf NCC 4 dpf 5 dpf Melanophore and 4 dpf 5 dpf Iridophore cells from zebrafish. | pubmed:34607603 | RNA seq 15somite NCC rep1 | GSM5494232 | tissue:Neural crest cells|genotype:TgcrestinA:EGFP|developmental stage:15 somite|cell type:Neural crest cells | RNA seq 15somite NCC rep1 | All libraries were sequenced on Illumina NextSeq 500 platforms. Reads were adapter trimmed with cutadapt. RNA seq reads were aligned to danRer10 genome using STAR. WGBS reads were aligned to danRer10 using bismark with standard parameters. omniATAC seq reads were aligned to danRer10 using bwa mem. Genome build: danRer10 Supplementary files format and content: bigWig bedGraph and text files. | Neural crest cells | TgcrestinA:EGFP embryos at designated biological time points were dechorionated with Pronase rinsed with egg water to remove the chorion and collected into 1.5ml Eppendorf tubes on ice. 4 dpf 5 dpf mlphaj120 larvae were anesthetized with Tricane for 15 minutes and collected into 50ml conical tubes on ice. | Single cells were dissociated from embryos using Gibco TrypLE Express enzyme solution. Neural crest GFP positive cells were sorted and collected on Beckman Couter MoFlo. Melanophore and iridophore were isolated using published protocol developed by the Johnson lab Higdon et al. 2013. Genomic DNA for WGBS was purified from NCCs and pigment cells via phenol chloroform:isoamyl alcohol PCI extraction and ethanol precipitation method. RNA was collected using Trizol following manufacturer's recommendation. Published omniATAC seq protocol was followed to extract materials for ATAC seq. RNA seq libraries were then constructed with TruSeq RNA Library Prep Kit v2 Illumina RS 122 2001 following manufacturer’s instructions. gDNA was bisulfite treated using EZ DNA Methylation Direct kit Zymo D5020 and processed with TruSeq DNA Methylation Kit Illumina 15066014 to generate Illumina compatible WGBS libraries. Published omniATAC seq was followed to generate ATAC seq data. | genotype:TgcrestinA:EGFP|developmental stage:15 somite|cell type:Neural crest cells | GSM5494232 | GSM5494232: RNA seq 15somite NCC rep1; Danio rerio; RNA Seq | GSM5494232 | 1 | Single cells were dissociated from embryos using Gibco TrypLE Express enzyme solution. Neural crest GFP positive cells were sorted and collected on Beckman Couter MoFlo. Melanophore and iridophore were isolated using published protocol developed by the Johnson lab Higdon et al. 2013. Genomic DNA for WGBS was purified from NCCs and pigment cells via phenol chloroform:isoamyl alcohol PCI extraction and ethanol precipitation method. RNA was collected using Trizol following manufacturer's recommendation. Published omniATAC seq protocol was followed to extract materials for ATAC seq. RNA seq libraries were then constructed with TruSeq RNA Library Prep Kit v2 Illumina RS 122 2001 following manufacturer's instructions. gDNA was bisulfite treated using EZ DNA Methylation Direct kit Zymo D5020 and processed with TruSeq DNA Methylation Kit Illumina 15066014 to generate Illumina compatible WGBS libraries. Published omniATAC seq was followed to generate ATAC seq data. | GEO Accession:GSM5494232 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | NextSeq 500 | SRP330794 | RNA_15somite_GFPpositive_Rep1_R1.fastq.gz RNA_15somite_GFPpositive_Rep1_R2.fastq.gz | fastq fastq | 4873066350.0 | 32487109.0 | GSM5494232 r1 | 0:75 1:75 | A:1279685777;C:1165675124;G:1163342068;T:1262630342;N:1733039 | 75 | 75 | 1279685777 | 1165675124 | 1163342068 | 1262630342 | 1733039 | SRX11625560 | SRS9659651 | SRA1268156 | GEO | Ting Wang Lab, Genetics, Washington University in St. Louis | 2 | 0.94795 | 0.94582 | 0.09748 | 0.09594 | 0.73091 | 0.73693 | 0.47989 | 0.47785 | 75 | 75 | B | B | biological fallback assumption | illumina | nextseq | unknown | cdna_unspecified | trueseq | bulk | unknown | unknown | United States | 2021-08-01 | Segmentation | Embryo | Brain | Nervous System | |||||||||||
| 70436 | 70436 | SRR19846950 | SRX15890625 | SRS13579729 | SRP383494 | PRJNA852585 | Control of cranial ectomesenchyme fate by Nr2f nuclear receptors | GSE206903 | Transcriptome Analysis | Certain cranial neural crest cells are uniquely endowed with the ability to make skeletal cell types otherwise only derived from mesoderm. As these cells migrate into the pharyngeal arches they downregulate neural crest specifier genes and upregulate so called ectomesenchyme genes characteristic of skeletal progenitors. While both external and cell autonomous factors have been proposed as triggers of this transition the details remain obscure. Here we report the Nr2f nuclear receptors as novel intrinsic activators of the ectomesenchyme program: zebrafish nr2f5 and nr2f2; nr2f5 mutants show a marked delay in upregulation of ectomesenchyme genes such as dlx2a prrx1a/b sox9a twist1a and fli1a and in downregulation of the non ectomesenchyme specifier sox10. Depending on genotype mutants partially or fully recover likely via functional redundancy with other Nr2f genes. Loss of sox10 fully rescued skeletal development in nr2f5 single but not nr2f2; nr2f5 double mutants while the ectomesenchyme defect persisted in both. Sox10 perdurance thus antagonizes the recovery rather than causing the initial aberration. Unraveling the mechanics of Nr2f function will help solve the enduring puzzle of how cranial neural crest acquire skeletal potency. Overall design: Bulk RNA seq was performed on FACS purified zebrafish neural crest cells expressing sox10:DsRed from 20 hpf nr2f2[unknown]; nr2f5[mutant] embryos 2 replicates: n = 88 & 35 and wild type control embryos 2 replicates: n = 110 & 120. | pubmed:36367707 | sox10:DsRed+ neural crest cells from 20 hpf wild type embryos biol rep 2 | GSM6266712 | tissue:sox10:DsRed+ neural crest cells|cell type:sox10:DsRed+ neural crest cells|genotype:wild type|developmental stage:20 hpf | sox10:DsRed+ neural crest cells from 20 hpf wild type embryos biol rep 2 | Illumina control software was used for base calling. Sequences were pseudoaligned and quantified at TPM values using Kallisto. Assembly: GRCz11 Supplementary files format and content: TPM Barske2022.txt: Tab delimited text file includes TPM values for each transcript. | sox10:DsRed+ neural crest cells | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | cell type:sox10:DsRed+ neural crest cells|genotype:wild type|developmental stage:20 hpf | GSM6266712 | GSM6266712: sox10:DsRed+ neural crest cells from 20 hpf wild type embryos biol rep 2; Danio rerio; RNA Seq | GSM6266712 r1 | GSM6266712 | 1 | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP383494 | loader:fastq load.py | sox10DsRed-CON2-S6-R1.fastq.gz sox10DsRed-CON2-S6_R2_001.fastq.gz | fastq fastq | 4876722704.0 | 32083702.0 | GSM6266712 r1 | 0:76 1:76 | A:1342673931;C:1107276249;G:1150211941;T:1276364234;N:196349 | 76 | 76 | 1342673931 | 1107276249 | 1150211941 | 1276364234 | 196349 | SRX15890625 | SRS13579729 | Human Genetics, Cincinnati Children's Hospital Medical Center | 2 | 0.8977 | 0.90038 | 0.03951 | 0.04044 | 0.75777 | 0.76331 | 0.46312 | 0.4722 | 76 | 76 | B | B | biological fallback assumption | illumina | hiseq_era | full_length | cdna_unspecified | smarter | bulk | bulk | bulk | United States | 2022-06-24 | Segmentation | Embryo | Brain | Nervous System | |||||||||||||
| 70437 | 70437 | SRR19846951 | SRX15890624 | SRS13579728 | SRP383494 | PRJNA852585 | Control of cranial ectomesenchyme fate by Nr2f nuclear receptors | GSE206903 | Transcriptome Analysis | Certain cranial neural crest cells are uniquely endowed with the ability to make skeletal cell types otherwise only derived from mesoderm. As these cells migrate into the pharyngeal arches they downregulate neural crest specifier genes and upregulate so called ectomesenchyme genes characteristic of skeletal progenitors. While both external and cell autonomous factors have been proposed as triggers of this transition the details remain obscure. Here we report the Nr2f nuclear receptors as novel intrinsic activators of the ectomesenchyme program: zebrafish nr2f5 and nr2f2; nr2f5 mutants show a marked delay in upregulation of ectomesenchyme genes such as dlx2a prrx1a/b sox9a twist1a and fli1a and in downregulation of the non ectomesenchyme specifier sox10. Depending on genotype mutants partially or fully recover likely via functional redundancy with other Nr2f genes. Loss of sox10 fully rescued skeletal development in nr2f5 single but not nr2f2; nr2f5 double mutants while the ectomesenchyme defect persisted in both. Sox10 perdurance thus antagonizes the recovery rather than causing the initial aberration. Unraveling the mechanics of Nr2f function will help solve the enduring puzzle of how cranial neural crest acquire skeletal potency. Overall design: Bulk RNA seq was performed on FACS purified zebrafish neural crest cells expressing sox10:DsRed from 20 hpf nr2f2[unknown]; nr2f5[mutant] embryos 2 replicates: n = 88 & 35 and wild type control embryos 2 replicates: n = 110 & 120. | pubmed:36367707 | sox10:DsRed+ neural crest cells from 20 hpf wild type embryos biol rep 1 | GSM6266711 | tissue:sox10:DsRed+ neural crest cells|cell type:sox10:DsRed+ neural crest cells|genotype:wild type|developmental stage:20 hpf | sox10:DsRed+ neural crest cells from 20 hpf wild type embryos biol rep 1 | Illumina control software was used for base calling. Sequences were pseudoaligned and quantified at TPM values using Kallisto. Assembly: GRCz11 Supplementary files format and content: TPM Barske2022.txt: Tab delimited text file includes TPM values for each transcript. | sox10:DsRed+ neural crest cells | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | cell type:sox10:DsRed+ neural crest cells|genotype:wild type|developmental stage:20 hpf | GSM6266711 | GSM6266711: sox10:DsRed+ neural crest cells from 20 hpf wild type embryos biol rep 1; Danio rerio; RNA Seq | GSM6266711 r1 | GSM6266711 | 1 | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP383494 | loader:fastq load.py | sox10DsRed-CON1-S5-R1.fastq.gz sox10DsRed-CON1-S5-R2.fastq.gz | fastq fastq | 4875797328.0 | 32077614.0 | GSM6266711 r1 | 0:76 1:76 | A:1340486054;C:1109815504;G:1153492417;T:1271807986;N:195367 | 76 | 76 | 1340486054 | 1109815504 | 1153492417 | 1271807986 | 195367 | SRX15890624 | SRS13579728 | Human Genetics, Cincinnati Children's Hospital Medical Center | 2 | 0.92525 | 0.92846 | 0.04508 | 0.04513 | 0.75789 | 0.76217 | 0.47713 | 0.47624 | 76 | 76 | B | B | biological fallback assumption | illumina | hiseq_era | full_length | cdna_unspecified | smarter | bulk | bulk | bulk | United States | 2022-06-24 | Segmentation | Embryo | Brain | Nervous System | |||||||||||||
| 70438 | 70438 | SRR19846952 | SRX15890623 | SRS13579727 | SRP383494 | PRJNA852585 | Control of cranial ectomesenchyme fate by Nr2f nuclear receptors | GSE206903 | Transcriptome Analysis | Certain cranial neural crest cells are uniquely endowed with the ability to make skeletal cell types otherwise only derived from mesoderm. As these cells migrate into the pharyngeal arches they downregulate neural crest specifier genes and upregulate so called ectomesenchyme genes characteristic of skeletal progenitors. While both external and cell autonomous factors have been proposed as triggers of this transition the details remain obscure. Here we report the Nr2f nuclear receptors as novel intrinsic activators of the ectomesenchyme program: zebrafish nr2f5 and nr2f2; nr2f5 mutants show a marked delay in upregulation of ectomesenchyme genes such as dlx2a prrx1a/b sox9a twist1a and fli1a and in downregulation of the non ectomesenchyme specifier sox10. Depending on genotype mutants partially or fully recover likely via functional redundancy with other Nr2f genes. Loss of sox10 fully rescued skeletal development in nr2f5 single but not nr2f2; nr2f5 double mutants while the ectomesenchyme defect persisted in both. Sox10 perdurance thus antagonizes the recovery rather than causing the initial aberration. Unraveling the mechanics of Nr2f function will help solve the enduring puzzle of how cranial neural crest acquire skeletal potency. Overall design: Bulk RNA seq was performed on FACS purified zebrafish neural crest cells expressing sox10:DsRed from 20 hpf nr2f2[unknown]; nr2f5[mutant] embryos 2 replicates: n = 88 & 35 and wild type control embryos 2 replicates: n = 110 & 120. | pubmed:36367707 | sox10:DsRed+ neural crest cells from 20 hpf nr2f2;nr2f5 mutant embryos biol rep 2 | GSM6266710 | tissue:sox10:DsRed+ neural crest cells|cell type:sox10:DsRed+ neural crest cells|genotype:nr2f2[unk]; nr2f5[mut]|developmental stage:20 hpf | sox10:DsRed+ neural crest cells from 20 hpf nr2f2;nr2f5 mutant embryos biol rep 2 | Illumina control software was used for base calling. Sequences were pseudoaligned and quantified at TPM values using Kallisto. Assembly: GRCz11 Supplementary files format and content: TPM Barske2022.txt: Tab delimited text file includes TPM values for each transcript. | sox10:DsRed+ neural crest cells | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | cell type:sox10:DsRed+ neural crest cells|genotype:nr2f2[unk]; nr2f5[mut]|developmental stage:20 hpf | GSM6266710 | GSM6266710: sox10:DsRed+ neural crest cells from 20 hpf nr2f2;nr2f5 mutant embryos biol rep 2; Danio rerio; RNA Seq | GSM6266710 r1 | GSM6266710 | 1 | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP383494 | loader:fastq load.py | sox10DsRed-MUT2-S2-R1.fastq.gz sox10DsRed-MUT2-S2-R2.fastq.gz | fastq fastq | 4289333904.0 | 28219302.0 | GSM6266710 r1 | 0:76 1:76 | A:1191429143;C:963361475;G:1000468087;T:1133905434;N:169765 | 76 | 76 | 1191429143 | 963361475 | 1000468087 | 1133905434 | 169765 | SRX15890623 | SRS13579727 | Human Genetics, Cincinnati Children's Hospital Medical Center | 2 | 0.8017 | 0.80251 | 0.0318 | 0.03187 | 0.78106 | 0.78606 | 0.46375 | 0.46931 | 76 | 76 | B | B | biological fallback assumption | illumina | hiseq_era | full_length | cdna_unspecified | smarter | bulk | bulk | bulk | United States | 2022-06-24 | Segmentation | Embryo | Brain | Nervous System | |||||||||||||
| 70439 | 70439 | SRR19846953 | SRX15890622 | SRS13579726 | SRP383494 | PRJNA852585 | Control of cranial ectomesenchyme fate by Nr2f nuclear receptors | GSE206903 | Transcriptome Analysis | Certain cranial neural crest cells are uniquely endowed with the ability to make skeletal cell types otherwise only derived from mesoderm. As these cells migrate into the pharyngeal arches they downregulate neural crest specifier genes and upregulate so called ectomesenchyme genes characteristic of skeletal progenitors. While both external and cell autonomous factors have been proposed as triggers of this transition the details remain obscure. Here we report the Nr2f nuclear receptors as novel intrinsic activators of the ectomesenchyme program: zebrafish nr2f5 and nr2f2; nr2f5 mutants show a marked delay in upregulation of ectomesenchyme genes such as dlx2a prrx1a/b sox9a twist1a and fli1a and in downregulation of the non ectomesenchyme specifier sox10. Depending on genotype mutants partially or fully recover likely via functional redundancy with other Nr2f genes. Loss of sox10 fully rescued skeletal development in nr2f5 single but not nr2f2; nr2f5 double mutants while the ectomesenchyme defect persisted in both. Sox10 perdurance thus antagonizes the recovery rather than causing the initial aberration. Unraveling the mechanics of Nr2f function will help solve the enduring puzzle of how cranial neural crest acquire skeletal potency. Overall design: Bulk RNA seq was performed on FACS purified zebrafish neural crest cells expressing sox10:DsRed from 20 hpf nr2f2[unknown]; nr2f5[mutant] embryos 2 replicates: n = 88 & 35 and wild type control embryos 2 replicates: n = 110 & 120. | pubmed:36367707 | sox10:DsRed+ neural crest cells from 20 hpf nr2f2;nr2f5 mutant embryos biol rep 1 | GSM6266709 | tissue:sox10:DsRed+ neural crest cells|cell type:sox10:DsRed+ neural crest cells|genotype:nr2f2[unk]; nr2f5[mut]|developmental stage:20 hpf | sox10:DsRed+ neural crest cells from 20 hpf nr2f2;nr2f5 mutant embryos biol rep 1 | Illumina control software was used for base calling. Sequences were pseudoaligned and quantified at TPM values using Kallisto. Assembly: GRCz11 Supplementary files format and content: TPM Barske2022.txt: Tab delimited text file includes TPM values for each transcript. | sox10:DsRed+ neural crest cells | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | cell type:sox10:DsRed+ neural crest cells|genotype:nr2f2[unk]; nr2f5[mut]|developmental stage:20 hpf | GSM6266709 | GSM6266709: sox10:DsRed+ neural crest cells from 20 hpf nr2f2;nr2f5 mutant embryos biol rep 1; Danio rerio; RNA Seq | GSM6266709 r1 | GSM6266709 | 1 | Total RNA was extracted from sorted cells using the RNeasy Micro kit Qiagen. The purified RNA samples were tested for quality and quantity on a BioAnalyzer and then reverse transcribed into cDNA using the SMARTer kit. cDNA amplification was adjusted based on the RNA input and the size and amount of cDNA was measured by BioAnalyzer. Sonication was performed on an S2 ultrasonicator. DNA libraries were created with the Kapa Hyper Prep kit and NextFlex adapters assessed by Bioanalyzer and quantified using the Kapa Library Quantification kit. | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP383494 | loader:fastq load.py | sox10DsRed-MUT1-S1-R1.fastq.gz sox10DsRed-MUT1-S1_R2_001.fastq.gz | fastq fastq | 4812271816.0 | 31659683.0 | GSM6266709 r1 | 0:76 1:76 | A:1327161695;C:1091694077;G:1133722041;T:1259497189;N:196814 | 76 | 76 | 1327161695 | 1091694077 | 1133722041 | 1259497189 | 196814 | SRX15890622 | SRS13579726 | Human Genetics, Cincinnati Children's Hospital Medical Center | 2 | 0.90398 | 0.90573 | 0.03493 | 0.0351 | 0.76928 | 0.77429 | 0.46651 | 0.46743 | 76 | 76 | B | B | biological fallback assumption | illumina | hiseq_era | full_length | cdna_unspecified | smarter | bulk | bulk | bulk | United States | 2022-06-24 | Segmentation | Embryo | Brain | Nervous System |
Advanced export
JSON shape: default, array, newline-delimited
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");;