Computational Prediction and Validation of BAHD1 as a Novel Molecule for UlcerativeColitis

0303 health sciences Chromosomal Proteins, Non-Histone JNK Mitogen-Activated Protein Kinases NF-kappa B Gene Expression Reproducibility of Results Models, Biological Article Cell Line Disease Models, Animal Gene Knockout Techniques Mice 03 medical and health sciences Receptors, Tumor Necrosis Factor, Type I Animals Humans Colitis, Ulcerative Computer Simulation Genetic Predisposition to Disease I-kappa B Proteins Inflammation Mediators RNA, Small Interfering Signal Transduction
DOI: 10.1038/srep12227 Publication Date: 2015-07-17T09:40:12Z
ABSTRACT
Abstract Ulcerative colitis (UC) is a common inflammatory bowel disease (IBD) producingintestinal inflammation and tissue damage. The precise aetiology of UC remainsunknown. In this study, we applied rank-based expression profile comparativealgorithm, gene set enrichment analysis (GSEA), to evaluate the profilesof patients small interfering RNA (siRNA)-perturbed cells predict proteinsthat might be essential in from publicly available profiles. We usedquantitative PCR (qPCR) characterize levels those genespredicted most important for dextran sodium sulphate (DSS)-inducedcolitic mice. found that bromo-adjacent homology domain (BAHD1), novelheterochromatinization factor vertebrates, was downregulated gene. Wefurther validated potential role BAHD1 as regulatory inflammationthrough TNF signalling pathway vitro . Our findings indicate thatcomputational approaches leveraging public data can used inferpotential genes or proteins diseases act an indispensablefactor regulating cellular response UC.
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