Weighted gene co-expression network analysis reveals specific modules and hub genes related to immune infiltration of osteoarthritis.

ABSTRACT:

Background

The incidence of osteoarthritis (OA), a chronic degenerative disease, is increasing every year. There is no effective clinical treatment for OA and the pathological mechanism remains unclear. Early diagnosis is an effective strategy to control the progress of OA. In this study, we aimed to identify potential early diagnostic biomarkers.

Methods

We downloaded the gene expression profile dataset, GSE51588 and GSE55235, from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) public database. The differentially expressed genes (DEGs) were screened out using the "limma" R package. Weighted gene co-expression network analysis (WGCNA) was utilized to build the co-expression network between the normal and OA samples. A Venn diagram was

SUBMITTER: Cao J 

PROVIDER: S-EPMC8576690 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature