Ren Yi Ming, Zhao Xin, Yang Tao, Duan Yuan Hui, Sun Yun Bo, Zhao Wen Jun, Tian Meng Qiang
Department of Joint and Sport Medicine, Tianjin Union Medical Center, Tianjin, China.
Nankai Clinical College, Tianjin Medical University, Tianjin, China.
Yonsei Med J. 2018 Aug;59(6):760-768. doi: 10.3349/ymj.2018.59.6.760.
To compare differentially expressed genes (DEGs) mediating osteoarthritis (OA) in knee cartilage and in normal knee cartilage in a rat model of OA and to identify their impact on molecular pathways associated with OA.
A gene expression profile was downloaded from the Gene Expression Omnibus database. Analysis of DEGs was carried out using GEO2R. Enrichment analyses were performed on the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway using the Search Tool for the Retrieval of Interacting Genes database (http://www.string-db.org/). Subsequently, the regulatory interaction network of OA-associated genes was visualized using Cytoscape software (version 3.4.0; www.cytoscape.org).
In the gene expression profile GSE103416, a total of 99 DEGs were identified. Among them, 76 DEGs (76.77%) were overexpressed, and the remaining 23 DEGs (23.23%) were underexpressed. GO and pathway enrichment analyses of target genes were performed. Using gene-gene interaction network analysis, relevant core genes, including MET, UBB, GNAI3, and GNA13, were shown to hold a potential relationship with the development of OA in cartilage. Using quantitative real-time PCR, the Gna13/cGMP-PKG signaling pathway was identified as a potential research target for therapy and for further understanding the development of OA.
The results of the present study provide a comprehensive understanding of the roles of DEGs in knee cartilage in relation to the development of OA.
比较骨关节炎(OA)大鼠模型中膝关节软骨与正常膝关节软骨中介导OA的差异表达基因(DEGs),并确定它们对与OA相关分子途径的影响。
从基因表达综合数据库下载基因表达谱。使用GEO2R进行DEGs分析。利用检索相互作用基因数据库(http://www.string-db.org/)对基因本体论(GO)和京都基因与基因组百科全书途径进行富集分析。随后,使用Cytoscape软件(版本3.4.0;www.cytoscape.org)可视化OA相关基因的调控相互作用网络。
在基因表达谱GSE103416中,共鉴定出99个DEGs。其中,76个DEGs(76.77%)表达上调,其余23个DEGs(23.23%)表达下调。对靶基因进行了GO和途径富集分析。通过基因-基因相互作用网络分析,显示包括MET、UBB、GNAI3和GNA13在内的相关核心基因与软骨中OA的发展存在潜在关系。使用定量实时PCR,Gna13/cGMP-PKG信号通路被确定为治疗和进一步了解OA发展的潜在研究靶点。
本研究结果全面了解了DEGs在膝关节软骨中与OA发展相关的作用。