run_metadata: 69686
This data as json
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 69686 | SRR19135486 | SRX15203072 | SRS12941936 | SRP374105 | PRJNA836108 | Single cell sequencing data of zebrafish spinal cord injury | GSE202429 | Transcriptome Analysis | post spinal cord injury in adult zebrafish the spinal cord was taken out for single cell data sequencing Overall design: The spinal cord of adult zebrafish was taken for single cell sequencing | sci 1 day | GSM6122391 | tissue:Wild type zebrafish|age:4 month|geo loc name:missing|collection date:missing | sci 1 day | The Cell Ranger software was obtained from 10x Genomics website https://support.10xgenomics.com/single cell gene expression/software/downloads/latest Alignment filtering barcode counting and UMI counting were performed with cellranger count module to generate feature barcode matrix and determine clusters. Dimensionality reduction was performed using PCA and the first ten principle compoments were used to generate clusters by K means algorithm and graph based algorithm respectively. Assembly: GRCz11 Supplementary files format and content: Matrix table with raw gene count for every gene and every sample | Wild type zebrafish | single cells were suspended in PBS containing 0.04% BSA According to the manufacture’s introduction Single cell RNA seq libraries were constructed using Single Cell 3’ Library andGel Bead Kit V3. The libraries were finally sequenced using an Illumina Novaseq6000 sequencer with a sequencing depth of at least 100 000 reads per cell with pair end 150 bp PE150 reading strategy | age:4 month | GSM6122391 | GSM6122391: sci 1 day; Danio rerio; RNA Seq | GSM6122391 r1 | GSM6122391 | 1 | single cells were suspended in PBS containing 0.04% BSA According to the manufacture's introduction Single cell RNA seq libraries were constructed using Single Cell three prime Library andGel Bead Kit V3. The libraries were finally sequenced using an Illumina Novaseq6000 sequencer with a sequencing depth of at least 100 000 reads per cell with pair end 150 bp PE150 reading strategy | RNA-Seq | TRANSCRIPTOMIC SINGLE CELL | cDNA | PAIRED | ILLUMINA | Illumina NovaSeq 6000 | SRP374105 | 200326B_SCI_1d_S1_L002_R1_001.fastq.gz 200326B_SCI_1d_S1_L002_R2_001.fastq.gz | fastq fastq | 50002460700.0 | 166674869.0 | GSM6122391 r2 | 0:150 1:150 | A:20017686965;C:8776481027;G:8531485975;T:12675453459;N:1353274 | 150 | 150 | 20017686965 | 8776481027 | 8531485975 | 12675453459 | 1353274 | SRX15203072 | SRS12941936 | SRA1416672 | ?????????, ????, ???? | 神经再生重点实验室, 神经再生, 南通大学 | 2 | 0.0 | 0.82772 | 0.0 | 0.41128 | 1.0 | 0.75526 | 0.57912 | 150 | 150 | T | B | mate1 technical by mapping diff | illumina | novaseq_era | unknown | cdna_unspecified | unknown | sc | single_cell_droplet | 10x | China | 2022-05-07 | Adult | Adult | Undetermined | Undetermined |