<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/GSE336nnn/GSE336715/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></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=GSE336715</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Comparative RNA-seq analysis of PM2.5-induced transcriptional responses in wildtype mouse mammary epithelial cells</name><description>Fine particulate matter (PM2.5) is an environmental pollutant associated with adverse health effects, including increased cancer risk. To investigate early transcriptional responses to PM2.5 exposure in non-malignant epithelial cells, we performed bulk RNA sequencing of wildtype mouse mammary epithelial EpH4 cells cultured under two-dimensional (2D) conditions. Cells were either left untreated or exposed to PM2.5. This dataset captures genome-wide gene expression changes induced by PM2.5 in wildtype epithelial cells and provides insight into stress response and pathophysiological pathways activated upon particulate matter exposure.</description><dates><publication>2026/07/01</publication></dates><accession>GSE336715</accession><cross_references><GSM>GSM9841192</GSM><GSM>GSM9841191</GSM><GSM>GSM9841190</GSM><GSM>GSM9841189</GSM><GPL>30172</GPL><GSE>336715</GSE><taxon>Mus musculus</taxon></cross_references></HashMap>