Identification of Pivotal Genes and Pathways in Osteoarthritic Degenerative Meniscal Lesions via Bioinformatics Analysis of the GSE52042 Dataset.

ABSTRACT: BACKGROUND To better understand the process of osteoarthritic degenerative meniscal lesions (DMLs) formation, this study analyzed the dataset GSE52042 using bioinformatics methods to identify the pivotal genes and pathways related to osteoarthritic DMLs. MATERIAL AND METHODS The GSE52042 dataset, comprising diseased meniscus samples and healthier meniscus samples, was downloaded and the differentially-expressed genes (DEGs) were extracted. The reactome pathways assessment and functional analysis were performed using the "ClusterProfiler" package and "ReactomePA" package of Bioconductor. The protein-protein interaction network was constructed, followed by the extraction of hub genes and modules. RESULTS A set of 154 common DEGs, including 64 upregulated DEGs and 90 downregulated DEGs, were

SUBMITTER: Huan X 

PROVIDER: S-EPMC6884941 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature