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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 a rank-based expression profile comparativealgorithm, gene set enrichment analysis (GSEA), to evaluate the expression profilesof UC patients and small interfering RNA (siRNA)-perturbed cells to predict proteinsthat might be essential in UC from publicly available expression profiles. We usedquantitative PCR (qPCR) to characterize the expression levels of those genespredicted to be the most important for UC in dextran sodium sulphate (DSS)-inducedcolitic mice. We found that bromo-adjacent homology domain (BAHD1), a novelheterochromatinization factor in vertebrates, was the most downregulated gene. Wefurther validated a potential role of BAHD1 as a regulatory factor for inflammationthrough the TNF signalling pathway
in vitro
. Our findings indicate thatcomputational approaches leveraging public gene expression data can be used to inferpotential genes or proteins for diseases and BAHD1 might act as an indispensablefactor in regulating the cellular inflammatory response in UC.
Sprache
Englisch
Identifikatoren
ISSN: 2045-2322
eISSN: 2045-2322
DOI: 10.1038/srep12227
Titel-ID: cdi_crossref_primary_10_1038_srep12227
Format
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