Detection of differentially expressed genes involved in osteoarthritis pathology.

ABSTRACT:

Background

Osteoarthritis (OA) is the most common chronic disorder of joints; however, the key genes and transcription factors (TFs) associated with OA are still unclear. Through bioinformatics tools, the study aimed to understand the mechanism of genes associated with the development of OA.

Methods

Four gene expression profiling datasets were used to identify differentially expressed genes (DEGs) between OA and healthy control samples by a meta-analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed with Multifaceted Analysis Tool for Human Transcriptome (MATHT). Subsequently, a protein-protein interaction (PPI) network was constructed for these DEGs. Significant network modules were identified using ReactomeFIViz, and

SUBMITTER: Tian H 

PROVIDER: S-EPMC5842536 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature