<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/GSE326nnn/GSE326694/</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=GSE326694</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Transcriptomic profiling of primary mouse aortic smooth muscle cells treated with inflammatory macrophage-conditioned medium</name><description>Inflammatory cell infiltration is a hallmark of many vascular diseases, but the specific molecular mechanisms by which macrophage-derived signals influence smooth muscle cell (SMC) phenotype remain poorly defined. This study utilized bulk RNA sequencing to elucidate the transcriptomic shifts driven by the inflammatory macrophage secretome.</description><dates><publication>2026/06/03</publication></dates><accession>GSE326694</accession><cross_references><GSM>GSM9637271</GSM><GSM>GSM9637272</GSM><GSM>GSM9637270</GSM><GSM>GSM9637275</GSM><GSM>GSM9637276</GSM><GSM>GSM9637273</GSM><GSM>GSM9637274</GSM><GSM>GSM9637268</GSM><GSM>GSM9637269</GSM><GSM>GSM9637277</GSM><GSM>GSM9637278</GSM><GSM>GSM9637267</GSM><GPL>34290</GPL><GSE>326694</GSE><taxon>Mus musculus</taxon><PMID>[41896892]</PMID></cross_references></HashMap>