<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>6(1)</volume><submitter>Hellgren J</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Early detection of drug-induced liver injury (DILI) during drug development is crucial for reducing drug attrition and ensuring the safety of patients. A versatile, biologically interpretable, and dose-dependent screening approach is therefore needed to inform early stop/go decisions and therapeutic margins.&lt;h4>Methods&lt;/h4>We have developed AEGIS (Apoptotic Effector Genes In Safety), a preclinical DILI risk screening and prioritization tool that quantifies dose dependent perturbation of apoptosis-regulating transcription factors from transcriptomics data. We profiled transcriptomic responses after short exposures across primary human hepatocytes (PHH), HepG2/C3A cells, RAW 264.7 cells, and an acute Balb/c mouse study. From these profiles, AEGIS provides quantitative risk</pubmed_abstract><journal>Communications medicine</journal><pagination>48</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12827481</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Apoptotic signatures allow early and rapid screening of drug-induced liver injury to accelerate drug discovery.</pubmed_title><pmcid>PMC12827481</pmcid><pubmed_authors>Bonetti A</pubmed_authors><pubmed_authors>Kalm M</pubmed_authors><pubmed_authors>Toki N</pubmed_authors><pubmed_authors>Gallon J</pubmed_authors><pubmed_authors>Williams DP</pubmed_authors><pubmed_authors>Chaudhari A</pubmed_authors><pubmed_authors>Chouhan B</pubmed_authors><pubmed_authors>Uatay A</pubmed_authors><pubmed_authors>Karlsson F</pubmed_authors><pubmed_authors>Andersson P</pubmed_authors><pubmed_authors>Tan JY</pubmed_authors><pubmed_authors>Pryde K</pubmed_authors><pubmed_authors>Elgendy R</pubmed_authors><pubmed_authors>Lindgren J</pubmed_authors><pubmed_authors>Hellgren J</pubmed_authors><pubmed_authors>Sagemark J</pubmed_authors><pubmed_authors>John B</pubmed_authors></additional><is_claimable>false</is_claimable><name>Apoptotic signatures allow early and rapid screening of drug-induced liver injury to accelerate drug discovery.</name><description>&lt;h4>Background&lt;/h4>Early detection of drug-induced liver injury (DILI) during drug development is crucial for reducing drug attrition and ensuring the safety of patients. A versatile, biologically interpretable, and dose-dependent screening approach is therefore needed to inform early stop/go decisions and therapeutic margins.&lt;h4>Methods&lt;/h4>We have developed AEGIS (Apoptotic Effector Genes In Safety), a preclinical DILI risk screening and prioritization tool that quantifies dose dependent perturbation of apoptosis-regulating transcription factors from transcriptomics data. We profiled transcriptomic responses after short exposures across primary human hepatocytes (PHH), HepG2/C3A cells, RAW 264.7 cells, and an acute Balb/c mouse study. From these profiles, AEGIS provides quantitative risk</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Dec</publication><modification>2026-06-06T21:38:31.464Z</modification><creation>2026-06-05T03:11:35.293Z</creation></dates><accession>S-EPMC12827481</accession><cross_references><pubmed>41444459</pubmed><doi>10.1038/s43856-025-01306-7</doi></cross_references></HashMap>