<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE325nnn/GSE325933/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</species><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE325933</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Transcriptomic profiling of GATA4 Knock-Out in cardiac, lung, and tail tip fibroblasts</name><description>Fibroblasts from different anatomical origins exhibit distinct phenotypic properties. In this study, we aimed to determine the cell-type-specific transcriptional responses to GATA4 overexpression. We performed bulk RNA-seq on cardiac fibroblasts (CF), lung fibroblasts (LF), and tail tip fibroblasts (TTF) transduced with either Ad-GFP (control) or Ad-Cre (GATA4 KO). The goal is to delineate the general versus source-specific GATA4 regulatory networks.</description><dates><publication>2026/07/01</publication></dates><accession>GSE325933</accession><cross_references><GSM>GSM9617420</GSM><GSM>GSM9617419</GSM><GSM>GSM9617417</GSM><GSM>GSM9617418</GSM><GSM>GSM9617415</GSM><GSM>GSM9617416</GSM><GPL>24247</GPL><GSE>325933</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>