<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dini A</submitter><funding>Academy of Finland</funding><funding>Syöpäsäätiö</funding><funding>Academy of Finland (Suomen Akatemia)</funding><funding>Sigrid Juséliuksen Säätiö</funding><pagination>432-442</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11867973</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(3)</volume><pubmed_abstract>The gene-regulatory dynamics governing drug responses in cancer are yet to be fully understood. Here, we report a pipeline capable of producing high-throughput pharmacotranscriptomic profiling through live-cell barcoding using antibody-oligonucleotide conjugates. This pipeline combines drug screening with 96-plex single-cell RNA sequencing. We show the potential of this approach by exploring the heterogeneous transcriptional landscape of primary high-grade serous ovarian cancer (HGSOC) cells after treatment with 45 drugs, with 13 distinct classes of mechanisms of action. A subset of phosphatidylinositol 3-OH kinase (PI3K), protein kinase B (AKT) and mammalian target of rapamycin (mTOR) inhibitors induced the activation of receptor tyrosine kinases, such as the epithelial growth factor rece</pubmed_abstract><journal>Nature chemical biology</journal><pubmed_title>A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery.</pubmed_title><pmcid>PMC11867973</pmcid><funding_grant_id>349787</funding_grant_id><funding_grant_id>333583</funding_grant_id><funding_grant_id>288475</funding_grant_id><funding_grant_id>336449</funding_grant_id><funding_grant_id>271845</funding_grant_id><pubmed_authors>Piki E</pubmed_authors><pubmed_authors>Sharma S</pubmed_authors><pubmed_authors>Raivola J</pubmed_authors><pubmed_authors>Dini A</pubmed_authors><pubmed_authors>Murumagi A</pubmed_authors><pubmed_authors>Barker H</pubmed_authors><pubmed_authors>Ungureanu D</pubmed_authors></additional><is_claimable>false</is_claimable><name>A multiplex single-cell RNA-Seq pharmacotranscriptomics pipeline for drug discovery.</name><description>The gene-regulatory dynamics governing drug responses in cancer are yet to be fully understood. Here, we report a pipeline capable of producing high-throughput pharmacotranscriptomic profiling through live-cell barcoding using antibody-oligonucleotide conjugates. This pipeline combines drug screening with 96-plex single-cell RNA sequencing. We show the potential of this approach by exploring the heterogeneous transcriptional landscape of primary high-grade serous ovarian cancer (HGSOC) cells after treatment with 45 drugs, with 13 distinct classes of mechanisms of action. A subset of phosphatidylinositol 3-OH kinase (PI3K), protein kinase B (AKT) and mammalian target of rapamycin (mTOR) inhibitors induced the activation of receptor tyrosine kinases, such as the epithelial growth factor rece</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-03T23:36:29.89Z</modification><creation>2025-04-03T23:36:29.89Z</creation></dates><accession>S-EPMC11867973</accession><cross_references><pubmed>39482470</pubmed><doi>10.1038/s41589-024-01761-8</doi></cross_references></HashMap>