{"database": "metadata", "table": "run_metadata", "rows": [[74644, "SRR26902475", "SRX22596596", "SRS19602927", "SRP428087", "PRJNA946307", "The zebrafish heart harbors a thermogenic beige fat depot analog of human epicardial adipose tissue", "GSE227670", "Other", "The main goal of this study was to examine the presence and specific transcriptomic profile of epicardial adipose tissue eAT in zebrafish.  We assessed how cold treatment affects the epicardial adipose tissue. Additional we provided some key differences between human  mouse and zebrafish epicardial adipose tissue. Overall design: We compared the transcriptomes of zebrafish eAT epicardial adipose tissue and vAT visceral adipose tissue using RNA sequencing RNA Seq from adult female zebrafish. Adult zebrafish  were acclimated from 27\u00b0C control temperature to 18\u00b0C by gradual reduction of tank water at the rate of 1 \u00b0C/h with an external water chiller. Cold acclimated fish were maintained at 18\u00b11\u00b0C for 24h  while control fish were maintained at 27\u00b11\u00b0C. Hearts were isolated to harvest eAT for RNA sequencing", null, "pubmed:38507414", null, "control eAT  epicardial fat 3", "GSM7912822", null, "source name:adipose tissue|tissue:adipose tissue|cell line:epicardial fat|Sex:female|geo loc name:missing|collection date:missing", "control eAT  epicardial fat 3", "RNA seq data were processed and analyzed using pseudo mapping to the zebrafish transcriptome GRCz11  Ensembl and unique transcript counts were performed using Kallisto v0.46.1. Transcript level counts were summarized into gene counts using Tximport v1.22.0  and genes with over 10 counts were maintained. Read count normalization and downstream analysis of differential gene expression was carried out using DESeq2 R package version 1.34.0 Assembly: GRCz11 Supplementary files format and content: Tab separated values of DESeq2 normalized counts for cold treated eAT  and control temperature epicardial adipocytes", "adipose tissue", null, "Adipocytes were collected for RNA extraction. Total RNA was prepared using TRIzol Life Technologies  15596026 Libraries were prepared using SMARTer Stranded Total RNA Seq Kit v3 TaKaRa  634487 following manufacturer's protocols.", null, "tissue:adipose tissue|cell line:epicardial fat|Sex:female", "GSM7912822", "GSM7912822: control eAT  epicardial fat 3; Danio rerio; RNA Seq", "GSM7912822 r1", "GSM7912822", "1", "Adipocytes were collected for RNA extraction. Total RNA was prepared using TRIzol Life Technologies  15596026 Libraries were prepared using SMARTer Stranded Total RNA Seq Kit v3 TaKaRa  634487 following manufacturer's protocols.", null, "RNA-Seq", "TRANSCRIPTOMIC", "cDNA", "PAIRED", "ILLUMINA", "Illumina NovaSeq 6000", null, "SRP428087", null, "loader:fastq load.py", "27_EAT_3_S58_L003_R1_001.fastq.gz 27_EAT_3_S58_L003_R2_001.fastq.gz", "fastq fastq", 43010873200.0, 215054366.0, "GSM7912822 r1", "0:100 1:100", "A:10273902176;C:11407089868;G:11344047061;T:9983469034;N:2365061", 100, 100, null, null, 10273902176, 11407089868, 11344047061, 9983469034, 2365061, "SRX22596596", "SRS19602927", "SRA1755255", "AG Sawamiphak, Max-Delbr\u00fcck-Centrum f\u00fcr Molekulare Medizin", "AG Sawamiphak, Max-Delbr\u00fcck-Centrum f\u00fcr Molekulare Medizin", 2, 0.95205, 0.89769, 0.06386, 0.06145, 0.92947, 0.93549, 0.90926, 0.91366, 100, 100, "B", "B", "biological fallback assumption", "illumina", "novaseq_era", "full_length", "cdna_unspecified", "smarter", "bulk", "unknown", "unknown", null, "Germany", "2023-11-21", "Undetermined", "Adult", "Adipose Tissue", "Adipose Tissue"]], "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": ["74644"], "units": {}, "query_ms": 12.197687000480073}