<HashMap><database>GEO</database><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</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=GSE313916</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Mechanisms of drug sensitivity for Low-Grade Serous Ovarian Carcinoma</name><description>Quantitative high-throughput 2D drug screening (n=3436 compounds) was conducted across 12 patient-derived LGSOC cell lines representing MAPK-mutant and no-specific-molecular-profile (NSMP) subtypes, and a immortalised normal ovarian line (IOSE-523) as toxicity control. Hits were prioritised for synergy testing (29 combinations) with 6 anchor drugs and validated in 2D and 3D spheroid models. Mechanistic studies to elucidate mechanisms of drug sensitivity and resistance to drug classes was conducted via MAC-Seq transcriptomics (multiplexed analysis of cells, high-throughput RNA seq).</description><dates><publication>2026/05/27</publication></dates><accession>GSE313916</accession><cross_references><GSM>GSM9377766</GSM><GSM>GSM9377767</GSM><GSM>GSM9377764</GSM><GSM>GSM9377765</GSM><GPL>18573</GPL><GSE>313916</GSE><taxon>Homo sapiens</taxon><PMID>[42177640]</PMID></cross_references></HashMap>