{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Zhu J"],"funding":["Science and Technology Plan Project of the Department of Science and Technology of Yunnan Province","Technological Innovation Talent Program","Major Science and Technology Project of Yunnan Province","Scientifc Research Fund of Yunnan Provincial Department of Education","the National key research and development project","the National Natural Science Foundation of China","State School Cooperation"],"pagination":["1024"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12469685"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(9)"],"pubmed_abstract":["<h4>Background</h4>Ulcerative colitis (UC) is a chronic inflammatory disease of the colon with a rising global incidence. Natural conjugated taurocholic acid (TCA) possesses anti-inflammatory properties and shows potential therapeutic effects against UC, although the underlying mechanisms remain unclear.<h4>Methods</h4>This study employed an integrative approach-combining network pharmacology, bioinformatics, machine learning, immune infiltration analysis, and molecular docking-to investigate the therapeutic mechanisms of TCA in UC. UC-related gene expression datasets were obtained from the Gene Expression Omnibus (GEO) database, and potential TCA targets were predicted using the Comparative Toxicogenomics Database (CTD) and TargetNet platforms. Differentially expressed genes (DEGs) were i"],"journal":["Genes"],"pubmed_title":["Integrating Transcriptomics, Network Pharmacology, and Machine Learning to Reveal Transglutaminase 2 (TGM2) as a Key Target Mediating Taurocholate Efficacy in Colitis."],"pmcid":["PMC12469685"],"funding_grant_id":["31060331","202501BD070001-038","2020ZXND02","202202AE090032","31760645","202102AA310054","2020FA011","32360808","2024YFD1800404","2025J0411","31260592"],"pubmed_authors":["Zhu J","Xie Y","Zhao S","Yi L","Jia H","Shi W","Cheng W","Song G","Fu P"],"additional_accession":[]},"is_claimable":false,"name":"Integrating Transcriptomics, Network Pharmacology, and Machine Learning to Reveal Transglutaminase 2 (TGM2) as a Key Target Mediating Taurocholate Efficacy in Colitis.","description":"<h4>Background</h4>Ulcerative colitis (UC) is a chronic inflammatory disease of the colon with a rising global incidence. Natural conjugated taurocholic acid (TCA) possesses anti-inflammatory properties and shows potential therapeutic effects against UC, although the underlying mechanisms remain unclear.<h4>Methods</h4>This study employed an integrative approach-combining network pharmacology, bioinformatics, machine learning, immune infiltration analysis, and molecular docking-to investigate the therapeutic mechanisms of TCA in UC. UC-related gene expression datasets were obtained from the Gene Expression Omnibus (GEO) database, and potential TCA targets were predicted using the Comparative Toxicogenomics Database (CTD) and TargetNet platforms. Differentially expressed genes (DEGs) were i","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Aug","modification":"2026-05-31T03:12:27.803Z","creation":"2026-05-31T03:06:59.061Z"},"accession":"S-EPMC12469685","cross_references":{"pubmed":["41009970"],"doi":["10.3390/genes16091024"]}}