<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hansen J</submitter><funding>U.S. Department of Health &amp;amp; Human Services | U.S. Food and Drug Administration</funding><funding>U.S. Department of Health &amp;amp; Human Services | U.S. Food and Drug Administration (U.S. Food &amp;amp; Drug Administration)</funding><funding>NHGRI NIH HHS</funding><funding>NCI NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | National Institutes of Health (NIH)</funding><funding>U.S. Department of Health &amp;amp; Human Services | National Institutes of Health</funding><pagination>7968</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11390749</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>15(1)</volume><pubmed_abstract>Drug-induced gene expression profiles can identify potential mechanisms of toxicity. We focus on obtaining signatures for cardiotoxicity of FDA-approved tyrosine kinase inhibitors (TKIs) in human induced-pluripotent-stem-cell-derived cardiomyocytes, using bulk transcriptomic profiles. We use singular value decomposition to identify drug-selective patterns across cell lines obtained from multiple healthy human subjects. Cellular pathways affected by cardiotoxic TKIs include energy metabolism, contractile, and extracellular matrix dynamics. Projecting these pathways to published single cell expression profiles indicates that TKI responses can be evoked in both cardiomyocytes and fibroblasts. Integration of transcriptomic outlier analysis with whole genomic sequencing of our six cell lines en</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Multiscale mapping of transcriptomic signatures for cardiotoxic drugs.</pubmed_title><pmcid>PMC11390749</pmcid><funding_grant_id>5U54HG008098</funding_grant_id><funding_grant_id>75F40119C10021</funding_grant_id><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>U54 HG008098</funding_grant_id><pubmed_authors>Azeloglu EU</pubmed_authors><pubmed_authors>Goldfarb J</pubmed_authors><pubmed_authors>Schaniel C</pubmed_authors><pubmed_authors>Martinez P</pubmed_authors><pubmed_authors>Sebra R</pubmed_authors><pubmed_authors>Dubois NC</pubmed_authors><pubmed_authors>Xiong Y</pubmed_authors><pubmed_authors>Yadaw AS</pubmed_authors><pubmed_authors>Berger SI</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Iyengar R</pubmed_authors><pubmed_authors>Beaumont KG</pubmed_authors><pubmed_authors>Jayaraman G</pubmed_authors><pubmed_authors>Chan A</pubmed_authors><pubmed_authors>Schurer SC</pubmed_authors><pubmed_authors>Shewale B</pubmed_authors><pubmed_authors>Hu B</pubmed_authors><pubmed_authors>Gallo JM</pubmed_authors><pubmed_authors>Tolentino RE</pubmed_authors><pubmed_authors>Dhanan P</pubmed_authors><pubmed_authors>Vidovic D</pubmed_authors><pubmed_authors>Siddiq MM</pubmed_authors><pubmed_authors>Hansen J</pubmed_authors><pubmed_authors>Sobie EA</pubmed_authors><pubmed_authors>Birtwistle MR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multiscale mapping of transcriptomic signatures for cardiotoxic drugs.</name><description>Drug-induced gene expression profiles can identify potential mechanisms of toxicity. We focus on obtaining signatures for cardiotoxicity of FDA-approved tyrosine kinase inhibitors (TKIs) in human induced-pluripotent-stem-cell-derived cardiomyocytes, using bulk transcriptomic profiles. We use singular value decomposition to identify drug-selective patterns across cell lines obtained from multiple healthy human subjects. Cellular pathways affected by cardiotoxic TKIs include energy metabolism, contractile, and extracellular matrix dynamics. Projecting these pathways to published single cell expression profiles indicates that TKI responses can be evoked in both cardiomyocytes and fibroblasts. Integration of transcriptomic outlier analysis with whole genomic sequencing of our six cell lines en</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Sep</publication><modification>2026-06-02T04:51:57.961Z</modification><creation>2025-04-04T11:04:02.792Z</creation></dates><accession>S-EPMC11390749</accession><cross_references><pubmed>39261481</pubmed><doi>10.1038/s41467-024-52145-4</doi></cross_references></HashMap>