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通过微阵列分析研究糖尿病肾病相关关键基因。

Key Genes Involved in Diabetic Nephropathy Investigated by Microarray Analysis.

作者信息

Liu Xinxin, Li Xinqiang

机构信息

Public Health of College, Zhengzhou University, Zhengzhou, China.

The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.

出版信息

J Comput Biol. 2019 Dec;26(12):1438-1447. doi: 10.1089/cmb.2019.0182. Epub 2019 Jul 30.

Abstract

We aimed to investigate significant genes associated with diabetic nephropathy (DN), and their potential mechanisms in the process of DN pathogenesis. We downloaded the microarray data of GSE111154 from gene expression omnibus (GEO) database. First, we analyzed differentially expressed genes (DEGs) between early diabetic nephropathy (EDN) samples and nondiabetic control samples. Functional and pathway enrichment analysis was carried out. Disease-related gene sets were analyzed. Then, we constructed the protein-protein interaction (PPI) network and predicted the relation. Finally, transcriptional regulation analyses of microRNA and transcription factors were performed. Totally 554 DEGs between EDN samples and nondiabetic control samples were obtained. Enrichment analysis of disease-related gene sets showed that transforming growth factor beta 1 () was significantly enriched in DN. TGFB1 was involved in more pathways, such as proteoglycans in cancer, malaria, and amebiasis. Furthermore, TGFB1 had the highest degree in PPI network. In addition, was correlated with miR-21-5p, miR-146a-5p, and RAD21. , miR-146a-5p, and miR-21-5p are important for DN development. Furthermore, may be involved in DN progression through the regulation of miR-21-5p, miR-146a-5p, and RAD21.

摘要

我们旨在研究与糖尿病肾病(DN)相关的重要基因及其在DN发病机制过程中的潜在机制。我们从基因表达综合数据库(GEO)下载了GSE111154的微阵列数据。首先,我们分析了早期糖尿病肾病(EDN)样本与非糖尿病对照样本之间的差异表达基因(DEG)。进行了功能和通路富集分析。分析了疾病相关基因集。然后,我们构建了蛋白质-蛋白质相互作用(PPI)网络并预测了其关系。最后,进行了微小RNA和转录因子的转录调控分析。在EDN样本与非糖尿病对照样本之间共获得554个DEG。疾病相关基因集的富集分析表明,转化生长因子β1()在DN中显著富集。TGFB1参与了更多的通路,如癌症、疟疾和阿米巴病中的蛋白聚糖。此外,TGFB1在PPI网络中具有最高度数。此外,与miR-21-5p、miR-146a-5p和RAD21相关。miR-146a-5p和miR-21-5p对DN的发展很重要。此外,可能通过调节miR-21-5p、miR-146a-5p和RAD21参与DN的进展。

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