Identification of differential expressed genes common to rheumatoid arthritis and osteoporosis based on GEO database

基于GEO数据库鉴定类风湿性关节炎和骨质疏松症共有的差异表达基因

阅读:1

Abstract

Rheumatoid arthritis (RA) and osteoporosis (OP) are both immune-mediated inflammatory diseases with similar clinical manifestations. A number of studies have shown that there is some correlation between RA and OP. But the mechanism between RA and OP has not been explored. Therefore, this article aims to explore the hub genes and the differentially expressed genes of RA and OP. We selected GSE55235 and GSE35959 from the Gene Expression Omnibus (GEO) database for the difference analysis. We used the GEO2R in GEO database for screening differentially expressed genes and Metascape for enrichment analysis. The protein-protein interaction network and hub genes were identified using the STRING 11.5 database and Cytoscape (version 3.7.2). Subsequently, build diagnostic models with hub genes. In GSE55235 of RA, we found 1318 genes with differential expression, with 557 genes being up-regulated and 761 genes being down-regulated. In GSE35959 of OP, 2337 differential genes, including 1857 up-regulated and 480 down-regulated genes, were found. Among the 99 differentially expressed genes found in RA and OP, 89 were up-regulated and 10 were down-regulated. Analysis of differentially expressed genes in the protein-protein interaction network by the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes revealed that the enriched genes were associated with immunity. The high correlation score was the basis for selecting 10 hub genes. Such as 1L1R1, SMAD3, FOSL1, and so on. These expression genes showed potential diagnostic value. The differentially expressed genes and hub genes found in this study contribute to the development of novel understandings of the underlying functional mechanisms of RA and OP and the identification of potential therapeutic targets for these conditions.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。