| 摘要: |
| 目的从基因水平揭示心肌梗死的发病机制，为心肌梗死的基础研究和临床治疗提供新思路。方法从基因芯片公共数据库GEO（geneexpressionomnibus，GEO）中下载心肌梗死相关基因芯片数据，利用GENE-E进行差异基因分析，筛选出在心肌梗死患者中具有的差异表达基因，采用Panther、String等在线分析软件对差异表达基因进行生物信息学分析。结果在200个差异表达基因所编码的蛋白中，有168个存在蛋白与蛋白的相互作用关系；其生物学通路主要涉及细胞凋亡通路、表皮生长因子受体信号通路等。结论通过生物信息学分析心肌梗死相关基因芯片数据，提示心肌梗死发病是多种基因作用的结果，EPHB1,GRM6,CD2BP2在心肌梗死患者外周血中高表达，对相关基因的进一步分析有利于揭示心肌梗死的发病机制，从而为心肌梗死患者的早期筛查提供新的分子标志物。 |
| 关键词: 心肌梗死 基因芯片 生物信息学 |
| DOI：10.12056/j.issn.1006-2785.2017.39.24.2016-1582 |
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| Bioinformatic analysis of genes associated with acute myocardial infarction |
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Ningbo First Municipal hospital
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| Abstract: |
| Objective To perform bioinformatic analysis of genes associated with acute myocardial infarction. Methods The microarray data of myocardial infarction were downloaded from the Gene Expression Omnibus (GEO) database, and Qlucore Omics Explorer software was used to screen differentially expressed genes．The further analysis of differentially expressed genes were conducted by the on-line tools STRING and Panther. Results Among 200 differentially expressed genes, 168 genes were related to interaction between proteins．These genes were involved in the biological process and molecular function of apoptosis signaling pathway and epithelial growth factor (EGF) receptor signaling pathway and so on．The analysis found that EPHB1, GRM6 and CD2BP2 genes were highly expressed in peripheral blood of patients with acute myocardial infarction.
Conclusion Bioinformatic analysis shows that acute myocardial infarction may involve the interaction of multiple genes, which may provide useful information for studies on molecular mechanisms and potential therapeutic targets of acute myocardial infarction． |
| Key words: Myocardial infarction Bioinformatics Gene microarray |
