Identification of Myocardial Infarction-Associated Genes Using Integrative microRNA-Gene Expression Network Analysis
Identification of Myocardial Infarction-Associated Genes Using Integrative microRNA-Gene Expression Network Analysis
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使用整合 microRNA-基因表达网络分析鉴定心肌梗塞相关基因
DOI：
10.1089/dna.2020.6222
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发表时间：
2021
影响因子：
3.1
通讯作者：
Jinyu Huang
中科院分区：
文献类型：
--
作者：
Long Wang;Wei Yuan;Jinyu Huang
因此，寻找心肌梗死（MI）的潜在分子靶点及其相互作用至关重要.本研究从GEO数据库中获取心肌梗死相关基因芯片数据，并对差异表达的mRNA和microRNA（miRNAs）进行鉴定。与正常心肌组织相比，686条mRNA和16条miRNAs在心肌梗死组织中差异表达。随后，进行功能富集分析以进一步研究它们的生物学功能。此外，基因集富集分析表明它们在癌症中富集到Pathway中。此外，进行蛋白质-蛋白质相互作用分析以评估差异表达的mRNA的相互作用。最后，我们根据差异表达的mRNA与预测的失调miRNA靶基因之间的重叠基因构建了mRNA-miRNA相互作用网络。该网络展示了三种MI相关的miRNAs，miR-498，miR-181 a和miR-612，以及45种新的靶基因，以及它们在MI中的相互作用。体外和体内实时荧光定量PCR证实了我们的结果是一致的。结论：miR-498、miR-181 a和miR-612可能参与了心肌梗死的发病机制，可能成为心肌梗死治疗的潜在靶点或生物标志物。
It is crucial to identify potential molecular targets and their interaction involved in myocardial infarction (MI). In our study, we obtained microarray data of MI from GEO database and identify differentially expressed mRNAs and microRNAs (miRNAs). Compared with normal tissues, 686 mRNAs and 16 miRNAs were differentially expressed in MI. Subsequently, function enrichment analysis was performed to further investigate their biological functions. Also, gene set enrichment analysis indicated they were enriched into Pathway in cancer. Besides, protein–protein interaction analysis was performed to assess the interactions of the differentially expressed mRNAs. Finally, we constructed an mRNA–miRNA interaction network based on the overlapping genes between the differentially expressed mRNAs and predicted target genes of dysregulated miRNAs. The network demonstrated three MI-associated miRNAs, miR-498, miR-181a, and miR-612, and 45 novel target genes, as well as their interaction involved in MI. What is more,in vitroandin vivoquantitative real-time PCR confirmed our results were consistent. In conclusion, miR-498, miR-181a, and miR-612 may participate in the pathogenesis of MI and may serve as the potential therapeutic targets or biomarkers.