run_metadata: 65803
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 |
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| 65803 | SRR15626565 | SRX11923632 | SRS9937150 | SRP334272 | PRJNA758088 | Next Generation Sequencing of zebrafish spinal cord transcriptomes before xxx post injury | GSE182868 | Transcriptome Analysis | The goals of this study is to compare transcriptome profiles RNA seq of zebrafish spinal cord before xxx post injury. The five segments rostral and five segments caudal to the lesion site were collected from three adult fish at one two four and six xxx post injury. Corresponding segments were also collected from uninjured animals. Total RNA was extracted and cDNA libraries N=4 5 were subjected to Illumina sequencing. Differential expression analysis was performed using DESeq2. The resulting P values were adjusted using the Benjamini and Hochberg's approach for controlling the false discovery rate.We mapped about 40 80 million sequence reads per sample to the zebrafish genome and identified 37 603 transcripts in the injured and uninjured zebrafish spinal cord. Our study represents the detailed analysis of zebrafish spinal cord transcriptomes before xxx post injury. Overall design: For RNA sequencing of zebrafish spinal cord tissue the five segments rostral and five segments caudal to the lesion site were collected from three adult fish at one two four and six xxx post injury. Corresponding segments were also collected from uninjured animals. Total RNA was extracted using Trizol regent Invitrogen and cDNA libraries N=4 5 were subjected to Illumina sequencing according to the manufacturer's protocol. | parent bioproject:PRJNA758278 | pubmed:34876587 | W4 C4 | GSM5538894 | source name:spinal cord|strain:AB|tissue:5 spinal segment caudal to the injury site|disease state:4 xxx post injury | W4 C4 | Raw data raw reads of fastq format were firstly processed through in house perl scripts. In this step clean data clean reads were obtained by removing reads containing adapter reads containing ploy N and low quality reads from raw data. At the same time Q20 Q30 and GC content the clean data were calculated. All the downstream analyses were based on the clean data with high quality. Reference genome and gene model annotation files were downloaded from genome website directly. Index of the reference genome was built using Hisat2 v2.0.5 and paired end clean reads were aligned to the reference genome using Hisat2 v2.0.5. featureCounts v1.5.0 p3 was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene. FPKM expected number of Fragments Per Kilobase of transcript sequence per Millions base pairs sequenced considers the effect of sequencing depth and gene length for the reads count at the same time and is currently the most commonly used method for estimating gene expression levels. Genome build: danRer11 Supplementary files format and content: tab delimited text files include FPKM values for each Sample. | spinal cord | Spinal cord segments were isolated flash frozen on dry ice and RNA was harvested using Trizol reagent. A total amount of 3 µg RNA per sample was used as input material for the RNA sample preparations. Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® NEB USA following manufacturer’s recommendations and index codes were added to attribute sequences to each sample. RNA libraries were prepared for sequencing using standard Illumina protocols | strain:AB|tissue:5 spinal segment caudal to the injury site|disease state:4 xxx post injury | GSM5538894 | GSM5538894: W4 C4; Danio rerio; RNA Seq | GSM5538894 | 1 | Spinal cord segments were isolated flash frozen on dry ice and RNA was harvested using Trizol reagent. A total amount of 3 µg RNA per sample was used as input material for the RNA sample preparations. Sequencing libraries were generated using NEBNext® UltraTM RNA Library Prep Kit for Illumina® NEB USA following manufacturer's recommendations and index codes were added to attribute sequences to each sample. RNA libraries were prepared for sequencing using standard Illumina protocols | GEO Accession:GSM5538894 | RNA-Seq | TRANSCRIPTOMIC | cDNA | PAIRED | ILLUMINA | Illumina HiSeq 2000 | SRP334272 | loader:fastq load.py | W4_C4_1.fq.gz W4_C4_2.fq.gz | fastq fastq | 12129480900.0 | 40431603.0 | GSM5538894 r1 | 0:150 1:150 | A:3451519288;C:2515952240;G:2531389661;T:3629453781;N:1165930 | 150 | 150 | 3451519288 | 2515952240 | 2531389661 | 3629453781 | 1165930 | SRX11923632 | SRS9937150 | SRA1284220 | GEO | Neuroscience, School of Medcine, Tongji University, 42508444-9 | 2 | 0.90598 | 0.90619 | 0.11287 | 0.10949 | 0.74184 | 0.75049 | 0.52714 | 0.51794 | 150 | 150 | B | B | biological fallback assumption | illumina | hiseq_era | unknown | cdna_unspecified | nebnext | bulk | bulk | bulk | China | 2021-08-26 | Undetermined | Adult | Spinal Cord | Nervous System |