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Dataset Information

Identification and validation of potential hub genes in rheumatoid arthritis by bioinformatics analysis.


ABSTRACT:

Objective

Rheumatoid arthritis (RA) is considered to be a chronic immune disease pathologically characterized by synovial inflammation and bone destruction. At present, the potential pathogenesis of RA is still unclear. Hub genes are recognized to play a pivotal role in the occurrence and progression of RA.

Methods

Firstly, we attempted to screen hub genes that are associated with RA, to clarify the underlying pathological mechanisms of RA, and to offer potential treatment methods for RA. We acquired these datasets (GSE12021, GSE55235, and GSE55457) of RA patients and healthy samples from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were recognized via R software. Then, Gene ontology (GO) functional analysis and Kyoto Encyclopedia of Gene

SUBMITTER: He X 

PROVIDER: S-EPMC9556438 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature