Identification of genes and functional coexpression modules closely related to ulcerative colitis by gene datasets analysis.

ABSTRACT:

Background

Ulcerative colitis is a type of inflammatory bowel disease posing a great threat to the public health worldwide. Previously, gene expression studies of mucosal colonic biopsies have provided some insight into the pathophysiological mechanisms in ulcerative colitis; however, the exact pathogenesis is unclear. The purpose of this study is to identify the most related genes and pathways of UC by bioinformatics, so as to reveal the core of the pathogenesis.

Methods

Genome-wide gene expression datasets involving ulcerative colitis patients were collected from gene expression omnibus database. To identify most close genes, an integrated analysis of gene expression signature was performed by employing robust rank aggregation method. We used weighted gene co-expression ne

SUBMITTER: Zhu J 

PROVIDER: S-EPMC6858811 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature