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Dataset Information

Identification of key genes and small molecule drugs in osteoarthritis by integrated bioinformatics analysis.


ABSTRACT:

Background

Osteoarthritis (OA) is a common joint degenerative disease that can affect multiple joints. Genetic events may play an important regulatory role in the early stages of the disease, but the specific mechanisms have not yet been fully elucidated. The main purpose of this study was to screen for disease-causing hub genes and effective small molecule drugs to reveal the pathogenesis of OA and to develop novel drugs for treatment.

Methods

Two gene expression profile datasets, GSE55235 and GSE55457, were integrated and further analyzed. The consistently differentially expressed genes (DEGs) were identified, and functional annotation and pathway analysis of these genes were performed with GO and KEGG. A protein-protein interaction network (PPI) of the DEGs was generated

SUBMITTER: Liu Z 

PROVIDER: S-EPMC10009689 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature