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Identification of potential proteases for abdominal aortic aneurysm by weighted gene coexpression network analysis

生物 转录组 蛋白酵素 基因 微阵列分析技术 微阵列 腹主动脉瘤 基因表达 基因表达谱 遗传学 计算生物学 动脉瘤 生物化学 医学 外科
作者
Hui Zhang,Dan Yang,Siliang Chen,Fangda Li,Liqiang Cui,Zhili Liu,Jiang Shao,Yuexin Chen,Bao Liu,Yuehong Zheng
出处
期刊:Genome [Canadian Science Publishing]
卷期号:63 (11): 561-575 被引量:3
标识
DOI:10.1139/gen-2020-0041
摘要

Proteases are involved in the degradation of the extracellular matrix (ECM), which contributes to the formation of abdominal aortic aneurysm (AAA). To identify new disease targets in addition to the results of previous microarray studies, we performed next-generation sequencing (NGS) of the whole transcriptome of Angiotensin II-treated ApoE −/− male mice (n = 4) and control mice (n = 4) to obtain differentially expressed genes (DEGs). Identified DEGs of proteases were analyzed using weighted gene coexpression network analysis (WGCNA). RT-qPCR was conducted to validate the differential expression of selected hub genes. We found that 43 DEGs were correlated with the expression of the protease profile, and most were clustered in immune response module. Among 26 hub genes, we found that Mmp16 and Mmp17 were significantly downregulated in AAA mice, while Ctsa, Ctsc, and Ctsw were upregulated. Our functional annotation analysis of genes coexpressed with the five hub genes indicated that Ctsw and Mmp17 were involved in T cell regulation and Cell adhesion molecule pathway, respectively, and that both were involved in general regulation of the cell cycle and gene expression. Overall, our data suggest that these ectopic genes are potentially crucial to AAA formation and may act as biomarkers for the diagnosis of AAA.
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