Open AccessBioinformatics Analysis Identified the Hub Genes, mRNA–miRNA–lncRNA Axis, and Signaling Pathways Involved in Rheumatoid Arthritis Pathogenesis
Author(s) -
Mingyi Yang,
Peng Xu,
Yani Su,
Ke Xu,
Qiling Yuan,
Yirixiati Aihaiti,
Yongsong Cai,
Peng Xu
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s353487
Subject(s) - kegg , gene , xist , computational biology , microrna , competing endogenous rna , genetics , biology , bioinformatics , gene expression , medicine , long non coding rna , rna , transcriptome , x chromosome , x inactivation
Rheumatoid arthritis (RA) is a nonspecific, chronic, systemic autoimmune disease characterized by symmetric polyarticular synovitis. Bioinformatics analysis of potential biomarkers, mRNA-miRNA-lncRNA axes, and signaling pathways in the pathogenesis of RA provides potential targets and theoretical basis for further research on RA.