Identification of key gene modules and transcription factors for human osteoarthritis by weighted gene co-expression network analysis.

ABSTRACT: Osteoarthritis (OA) is one of the most prevalent causes of joint disease. However, the pathological mechanisms of OA have remained to be completely elucidated, and further investigation into the underlying mechanisms of OA development and the identification of novel therapeutic targets are urgently required. In the present study, the dataset GSE114007 was downloaded from the Gene Expression Omnibus database. Based on weighted gene co-expression network analysis (WGCNA) and the identification of differentially expressed genes (DEGs), the microarray data were further analyzed to identify hub genes, key transcription factors (TFs) and pivotal signaling pathways involved in the pathogenesis of OA. A total of 1,898 genes were identified to be differentially expressed between OA samples and norm

SUBMITTER: Gao X 

PROVIDER: S-EPMC6755469 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature