{"database": "metadata", "table": "run_metadata", "rows": [[52208, "SRR8991396", "SRX5770464", "SRS4704573", "SRP194254", "PRJNA540466", "Characterization of the zebrafish cell landscape at single cell resolution", "GSE130487", "Transcriptome Analysis", "Zebrafish have been found to be a premier model organism in biological and regeneration research. However  the comprehensive cell compositions and molecular dynamics during tissue regeneration in zebrafish remain poorly understood. Here  we utilized Microwell seq to analyze more than 250 000 single cells covering major zebrafish cell types and constructed a systematic zebrafish cell landscape. We revealed single cell compositions for 18 zebrafish tissue types covering both embryo and adult stages. Single cell mapping of caudal fin regeneration revealed a unique characteristic of blastema population and key genetic regulation involved in zebrafish tissue repair. Overall  our single cell datasets demonstrate the utility of zebrafish cell landscape resources in various fields of biological research. Overall design: Expression profiling by high throughput sequencing of major zebrafish organ types. Please note that 19 samples were added and 9 samples were deleted on Mar 1  2022.", null, "pubmed:34660600", null, "CaudalFin2", "GSM3740949", null, "source name:caudal fin|strain:Tubingen|genotype:wild type|tissue:caudal fin", "CaudalFin2", "The drop seq core computational tool was used for preprocessing of the Microwell seq data. The implementation is described in the Drop seq computational cookbook http://mccarrolllab.org/dropseq/. Base calls were performed with Illumina bcl2fastq Sequenced reads were trimmed for adaptor sequence.Then reads in bam files were tagged with the cell and molecular UMI barcode sequences using Drop seq tools 1.12.The cell barcodes are tagged as XC in the bam file and the UMI is tagged as XM in the bam file. The reads quality under 10 were removed. ScRNA seq reads were aligned to the Danio rerio GRCz10 genome assembly using STAR version 2.5.2a  with default configurations. Next  merge the STAR alignment tagged bam SAM to recover cell /molecular barcodes and the reads are annotated with exon tags. Last  we demultiplexed all cell barcodes taken into consideration for the analysis from the exon tagged bam files to get a digital expression matrix based on UMI counts. Genome build: http://dec2017.archive.ensembl.org/Danio rerio/Info/Index Supplementary files format and content: tab delimited text files of digital expression matrix dge based on raw UMI counts  columns are cells  and rows are genes.", "caudal fin", null, "Tissue dissociation and  single cell lysate Library preparations were performed with the Microwell seq protocol", null, "strain:Tubingen|genotype:wild type|tissue:caudal fin", "GSM3740949", "GSM3740949: CaudalFin2; Danio rerio; RNA Seq", "GSM3740949", null, "1", "Tissue dissociation and  single cell lysate Library preparations were performed with the Microwell seq protocol", "GEO Accession:GSM3740949", "RNA-Seq", "TRANSCRIPTOMIC", "cDNA", "PAIRED", "ILLUMINA", "Illumina HiSeq X Ten", null, "SRP194254", null, "assembly:Danio rerio GRCz10", "CaudalFin2.bam", "bam", 34657911996.0, 114761298.0, "GSM3740949 r1", "0:151 1:151", "A:8439354130;C:5842860159;G:6009391550;T:14359478869;N:6827288", 151, 151, null, null, 8439354130, 5842860159, 6009391550, 14359478869, 6827288, "SRX5770464", "SRS4704573", "SRA880843", "GEO", "Zhejiang University", 2, 2e-05, 0.79468, 0.0, 0.03917, 0.99997, 0.86393, 0.0, 0.58978, 151, 151, "T", "B", "mate1 technical by mapping diff", "illumina", "hiseq_era", "unknown", "cdna_unspecified", "unknown", "sc", "single_cell_plate", "microwellseq", null, "China", "2019-04-30", "Undetermined", "Multi-stage", "Fin", "Surface Structure"]], "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": ["52208"], "units": {}, "query_ms": 11.448167002527043}