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
AUTHORS (12)
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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