Abstract：Abstract: To identify hub genes of osteoporosis by integration analysis using microarray data, the osteoporosis-related gene expression data were collected from public databases, i.e. GEO and ArrayExpress, and then the genome-wide global significance (GWGS) method was applied to integrate the identified data and screen the differentially expressed genes (DEGs). GO and KEGG pathway analysis of the DEGs were used for the functional annotation. Protein-protein interaction (PPI) network was constructed to find the hub genes. Three datasets that met the inclusion and exclusion criteria were included in the analysis. The top 200 DEGs were selected according to the GWGS values. These genes were mainly enriched in three GO terms, including cellular response to lipopolysaccharide, apoptotic process, and inflammatory response. Osteoporosis related signaling pathway, i.e. osteoclast differentiation, was enriched in KEGG pathway analysis. The PPI network analysis identified 10 hub genes of osteoporosis. Nine of them have been reported to be related to the develo-pment of osteoporosis, while the gene ELANE has not been reported to be related to osteoporosis. ELANE was found to have high expression in human bone marrow, mouse bone marrow and bone. This indicates that it could be involved in the pathogenesis of osteoporosis. Results from this study may be helpful for further understanding the molecular pathogenesis of osteoporosis.
引用本文:
黎海霞, 许 阳, 邓凯丽, 李 然, 肖苏妹. GWGS芯片整合分析识别外周血细胞中与骨质疏松症相关的枢纽基因[J]. 生命科学研究, 2020, 24(2): 102-108.
LI Hai-xia, XU Yang, DENG Kai-li, LI Ran, XIAO Su-mei. Identification of Osteoporosis Related Hub Genes in Peripheral Blood Cells by Integration Analysis of Microarray Data Using GWGS Method. Life Science Research, 2020, 24(2): 102-108.
