Gene Expression Microarray Data Identify Hub Genes Involved in Osteoarthritis.

ABSTRACT: The present study was performed to explore the underlying molecular mechanisms and screen hub genes of osteoarthritis (OA) via bioinformatics analysis. In total, twenty-five OA synovial tissue samples and 25 normal synovial tissue samples were derived from three datasets, namely, GSE55457, GSE55235, and GSE1919, and were used to identify the differentially expressed genes (DEGs) of OA by R language. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DEGs were conducted using the Database for Annotation, Visualization, and Integrated Discovery (DAVID). A Venn diagram was built to show the potential hub genes identified in all three datasets. The STRING database was used for constructing the protein-protein interaction (PPI) networks and submodules o

SUBMITTER: Zhou J 

PROVIDER: S-EPMC9207392 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature