{"database": "metadata", "table": "run_metadata", "rows": [[43600, "SRR6020332", "SRX3171466", "SRS2501275", "SRP116018", "PRJNA399711", "Whole organism clone tracing using single cell sequencing", "GSE102990", "Transcriptome Analysis", "We present ScarTrace  a single cell sequencing strategy that allows us to simultaneously quantify information on clonal history and cell type for thousands of single cells obtained from different organs from adult zebrafish. Using this approach we show that all blood cells types in the kidney marrow arise from a small set of multipotent embryonic. In contrast  we find that cells in the eyes  brain  and caudal tail fin arise from many embryonic progenitors  which are more restricted and produce specific cell types in the adult tissue. Next we use ScarTrace to explore when embryonic cells commit to forming either left or right organs using the eyes and brain as a model system. Lastly we monitor regeneration of the caudal tail fin and identify a subpopulation of resident macrophages that have a clonal origin that is distinct from other blood cell types. Overall design: Single cell sequencing data from cells isolated from zebrafish organs whole kidney marrow  forebrain  hindbrain  left eye  right eye  left midbrain  right midbrain  and regenerated fin. For each cell  we provide libraries with transcritpome and with clonal information  respectively.", null, "pubmed:29590089", null, "R1 wkm Scar", "GSM2776961", null, "source name:wkm single cells|cas9 injection:mRNA|FISH id:R1|tissue:whole kidney marrow|sorted plates:10", "R1 wkm Scar", "In scar libraries  first read contains cell barcode 8 first nucleotides and second read contains the scar. Second reads with a valid cell barcode in first read are mapped to the reference GFP sequence. In transcriptome libraries  first read contains UMI 6 first nucleotides and cell barcode from 7 to 14 nucleotides and second reads contains biological information. Second reads with a valid cell barcode in corresponding first read are mapped to the reference transcriptome. Genome build: In scar libraries: eGFP sequence extended with ERCC92; In transcriptome libraries: Danio rerio assembly Zv9  ensemble 74  extended with ERCC92 Supplementary files format and content: *scarclones.txt: tabular separated files  with scar percentage columns per cell rows. Cells from the same fish have been named according to barcode ID  plate and organ of origin.  Last column hclust referes to ID for the clone cells sharing hclust label have the same scar pattern. *transcriptome.txt.gz: tabular separated files  with transcript count rows per cell columns. Cells in each file are labeled according to barcode ID  plate  organ and fish of origin. *tsne.txt.gz: tsne map coordinates obtained post running RaceID Grun  D. et al. Nature 525  251 255  2015 and cell type assigned to each cell. Cells are labeled as in the *transcriptome.txt.gz files.", "wkm single cells", null, "post organ isolation  live single cells are sorted into 384 well plates containing mineral oil  uniquely barcoded cell specific primers for independent scar and mRNA detection  Spike in controls and and RNAse inhibitor. Scartrace Illumina TruSeq adapaters", null, "cas9 injection:mRNA|FISH id:R1|tissue:whole kidney marrow|sorted plates:10", "GSM2776961", "GSM2776961: R1 wkm Scar; Danio rerio; RNA Seq", "GSM2776961", null, "1", "post organ isolation  live single cells are sorted into 384 well plates containing mineral oil  uniquely barcoded cell specific primers for independent scar and mRNA detection  Spike in controls and and RNAse inhibitor. Scartrace Illumina TruSeq adapaters", "GEO Accession:GSM2776961", "RNA-Seq", "TRANSCRIPTOMIC", "cDNA", "PAIRED", "ILLUMINA", "NextSeq 500", null, "SRP116018", null, null, "R1_wkm_Scar_p07_R1.fastq.gz R1_wkm_Scar_p07_R2.fastq.gz", "fastq fastq", 443058723.0, 2917225.0, "GSM2776961 r7", "0:75.99 1:75.89", "A:78132383;C:128408112;G:164997328;T:71447465;N:73435", 75, 75, null, null, 78132383, 128408112, 164997328, 71447465, 73435, "SRX3171466", "SRS2501275", "SRA602108", "GEO", "AVO, Hubrecht Institue", 2, 0.00011, 0.00017, 8e-05, 0.00014, 0.99993, 0.99991, 0.25, 0.5, 76, 76, "T", "T", "mates < 9% mapping rate", "illumina", "nextseq", "unknown", "random_priming", "trueseq", "sc", "other_seq", "scartrace", null, "Netherlands", "2017-09-08", "Undetermined", "Multi-stage", "Kidney", "Renal System"]], "columns": ["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"], "primary_keys": ["rowid"], "primary_key_values": ["43600"], "units": {}, "query_ms": 10.74910000897944}