Identification of microRNAs and genes as biomarkers of atrial fibrillation using a bioinformatics approach
Identification of microRNAs and genes as biomarkers of atrial fibrillation using a bioinformatics approach
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使用生物信息学方法鉴定 microRNA 和基因作为心房颤动的生物标志物
DOI：
10.1177/0300060519852235
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发表时间：
2019-08-01
影响因子：
1.6
通讯作者：
Wang, Zhongxing
中科院分区：
文献类型：
--
作者：
Li, Yingyuan;Tan, Wulin;Wang, Zhongxing
目的探讨与心房颤动（AF）相关的潜在microRNAs （miRNAs）和靶基因。方法从Gene Expression Omnibus数据库下载AF组和对照组基因芯片GSE70887和GSE68475的数据。在每个微阵列中鉴定AF组与对照组之间差异表达的mirna，并获得这两组的交集。这些mirna被定位到miRNet数据库中的靶基因。在DAVID数据库中对这些靶基因进行功能注释和富集分析。使用Cytoscape软件将STRING数据库中的蛋白-蛋白相互作用（PPI）网络和mirna -靶基因网络合并为PPI- mirna网络。该网络中含有mirna的模块被检测并进一步分析。结果共鉴定出10个差异表达mirna和1520个靶基因。构建了三个PPI-miRNA模块，包含miR-424、miR-15a、miR-542-3p和miR-421及其靶基因CDK1、CDK6和CCND3。结论所鉴定的mirna和基因可能与房颤的发病机制有关，可能是房颤诊断和治疗的潜在生物标志物。
Objective We aimed to explore potential microRNAs (miRNAs) and target genes related to atrial fibrillation (AF). Methods Data for microarrays GSE70887 and GSE68475, both of which include AF and control groups, were downloaded from the Gene Expression Omnibus database. Differentially expressed miRNAs between AF and control groups were identified within each microarray, and the intersection of these two sets was obtained. These miRNAs were mapped to target genes in the miRNet database. Functional annotation and enrichment analysis of these target genes was performed in the DAVID database. The protein-protein interaction (PPI) network from the STRING database and the miRNA-target-gene network were merged into a PPI-miRNA network using Cytoscape software. Modules of this network containing miRNAs were detected and further analyzed. Results Ten differentially expressed miRNAs and 1520 target genes were identified. Three PPI-miRNA modules were constructed, which contained miR-424, miR-15a, miR-542-3p, and miR-421 as well as their target genes, CDK1, CDK6, and CCND3. Conclusion The identified miRNAs and genes may be related to the pathogenesis of AF. Thus, they may be potential biomarkers for diagnosis and targets for treatment of AF.