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使用加权基因共表达网络分析鉴定人类外周动脉疾病的候选靶基因

Identification of candidate target genes for human peripheral arterial disease using weighted gene co‑expression network analysis.

作者信息

Yin De-Xin, Zhao Hao-Min, Sun Da-Jun, Yao Jian, Ding Da-Yong

机构信息

Department of Vascular Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.

Department of Thoracic Surgery, Jilin Hospital of Jilin Province People's Hospital, Changchun, Jilin 130031, P.R. China.

出版信息

Mol Med Rep. 2015 Dec;12(6):8107-12. doi: 10.3892/mmr.2015.4450. Epub 2015 Oct 15.

Abstract

The aim of the present study was to identify the potential treatment targets of peripheral arterial disease (PAD) and provide further insights into the underlying mechanism of PAD, based on a weighted gene co‑expression network analysis (WGCNA) method. The mRNA expression profiles (accession. no. GSE27034), which included 19 samples from patients with PAD and 18 samples from normal control individuals were extracted from the Gene Expression Omnibus database. Subsequently, the differentially expressed genes (DEGs) were obtained using the Limma package and the co‑expression network modules were screened using the WGCNA approach. In addition, the protein‑protein interaction network for the DEGs in the most significant module was constructed using Cytoscape software. Functional enrichment analyses of the DEGs in the most significant module were also performed using the Database for Annotation, Visualization and Integrated Discovery and Kyoto Encyclopedia of Genes and Genomes (KEGG) Orthology‑Based Annotation System, respectively. A total of 148 DEGs were identified in PAD, which were used to construct the WGCN, in which two modules (gray module and turquoise module) were identified, with the gray module exhibiting a higher gene significance (GS) value than the turquoise module. In addition, a co‑expression network was constructed for 60 DEGs in the gray module. The functional enrichment results showed that the DEGs in the gray module were enriched in five Gene Ontology terms and four KEGG pathways. For example, cyclin‑dependent kinase inhibitor 1A (CDKN1A), FBJ murine osteosarcoma viral oncogene homolog (FOS) and prostaglandin‑endoperoxide synthase 2 (PTGS2) were enriched in response to glucocorticoid stimulus. The results of the present study suggested that DEGs in the gray module, including CDKN1A, FOS and PTGS2, may be associated with the pathogenesis of PAD, by modulating the cell cycle, and may offer potential for use as candidate treatment targets for PAD.

摘要

本研究旨在基于加权基因共表达网络分析(WGCNA)方法,确定外周动脉疾病(PAD)的潜在治疗靶点,并进一步深入了解PAD的潜在机制。从基因表达综合数据库中提取了mRNA表达谱(登录号:GSE27034),其中包括19例PAD患者的样本和18例正常对照个体的样本。随后,使用Limma软件包获得差异表达基因(DEG),并使用WGCNA方法筛选共表达网络模块。此外,使用Cytoscape软件构建了最显著模块中DEG的蛋白质-蛋白质相互作用网络。还分别使用注释、可视化和综合发现数据库以及基于京都基因与基因组百科全书(KEGG)直系同源注释系统,对最显著模块中的DEG进行了功能富集分析。在PAD中总共鉴定出148个DEG,用于构建WGCN,其中鉴定出两个模块(灰色模块和蓝绿色模块),灰色模块的基因显著性(GS)值高于蓝绿色模块。此外,为灰色模块中的60个DEG构建了共表达网络。功能富集结果表明,灰色模块中的DEG在五个基因本体学术语和四个KEGG途径中富集。例如,细胞周期蛋白依赖性激酶抑制剂1A(CDKN1A)、FBJ小鼠骨肉瘤病毒癌基因同源物(FOS)和前列腺素内过氧化物合酶2(PTGS2)在对糖皮质激素刺激的反应中富集。本研究结果表明,灰色模块中的DEG,包括CDKN1A、FOS和PTGS2,可能通过调节细胞周期与PAD的发病机制相关,并可能作为PAD的候选治疗靶点具有潜在应用价值。

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