Details

Autor(en) / Beteiligte

• Zhu, Huatuo
• Wan, Xingyong
• Li, Jing
• Han, Lu
• Bo, Xiaochen
• Chen, Wenguo
• Lu, Chao
• Shen, Zhe
• Xu, Chenfu
• Chen, Lihua
• Yu, Chaohui
• Xu, Guoqiang

Titel

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

Ist Teil von

• Scientific reports, 2015-07, Vol.5 (1), Article 12227

Erscheinungsjahr

2015

Quelle

Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals

Beschreibungen/Notizen

• 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.