Identification of dysregulated genes in rheumatoid arthritis based on bioinformatics analysis.

ABSTRACT:

Background

Rheumatoid arthritis (RA) is a chronic auto-inflammatory disorder of joints. The present study aimed to identify the key genes in RA for better understanding the underlying mechanisms of RA.

Methods

The integrated analysis of expression profiling was conducted to identify differentially expressed genes (DEGs) in RA. Moreover, functional annotation, protein-protein interaction (PPI) network and transcription factor (TF) regulatory network construction were applied for exploring the potential biological roles of DEGs in RA. In addition, the expression level of identified candidate DEGs was preliminarily detected in peripheral blood cells of RA patients in the GSE17755 dataset. Quantitative real-time polymerase chain reaction (qRT-PCR) was conducted to validate the e

SUBMITTER: Hao R 

PROVIDER: S-EPMC5356478 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature