Bioinformatics analysis identification of AKT3 and RAC1 as key genes in postmenopausal osteoporosis.

ABSTRACT: Postmenopausal osteoporosis (PMO) is an aging-associated disease that manifests as degradation of bone tissue microstructure leading to decreased bone mass and increased bone fragility. Differentiation of peripheral blood mononuclear cells into osteoclasts is an important process in the development of PMO and identification of key genes that drive differentiation is essential to reveal the mechanism of PMO. The present study combined bioinformatics analysis of a Gene Expression Omnibus dataset of PMO and drug (bisphosphonate) target prediction using the STITCH database to identify hub genes in patients with PMO. Next, the expression of candidate hub genes was assessed in osteoclasts differentiated from THP-1 cells and small interfering RNA assays were performed to assess the function of se

SUBMITTER: Zhang L 

PROVIDER: S-EPMC9475336 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature