基于生物信息学对心肌梗死与不稳定型心绞痛差异靶基因的研究分析
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Research analysis of the differential target genes of myocardial infarction and unstable angina pectoris based on bioinformatics
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    目的:探究心肌梗死与不稳定型心绞痛的生物学机制,为后期临床研究提供航向。方法:基于GEO数据库对基因芯片GSE29111进行挖掘,再利用GWAS数据库对差异靶基因进行二次筛选,最后进行生物信息学分析。结果:运用GEO数据库GEO2R鉴定到的差异靶基因,有188个蛋白点表达有统计学差异(P<0.05);经GWAS数据库基因位点(gene/region)P值设定:-log10P≥3筛选与心肌梗死与不稳定型心绞痛相关的差异靶基因共7个,分别是MACF1、TANC2、PSMF1、CD59、MYO18B、GALNT10、TFPI。运用Metascape基因注释工具,发现这7个差异靶基因主要与蛋白水解的负调节、创伤愈合有关。运用David工具对这7个差异靶基因在线进行GO分析及KEGG分析发现,这些差异靶基因与内肽酶活性的负调控、凝血、肽链内切酶抑制剂活性、肌动蛋白结合和补体系统有关。结论:心肌梗死与不稳定型心绞痛差异靶基因主要与肽链内切酶抑制剂活性及补体系统相关联,主要调控的差异靶基因是CD59、TFPI。

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    Objective:To explore the biological mechanism of myocardial infarction and unstable angina pectoris,so as to provide a direction for clinical researchers. Methods:Gene chip GSE29111 was extracted based on GEO database,differential target genes were screened on the basis of GWAS database,and all were analyzed via bioinformatics. Results:A total of 188 differential target genes identified by GEO database GEO2R had significant differences in protein expression(P<0.05). After gene/region P value setting of -log10P≥3 in GWAS database,a total of 7 target genes related to myocardial infarction and unstable angina pectoris were screened,including MACF1,TANC2,PSMF1,CD59,MYO18B,GALNT10 and TFPI. Metascape annotation tool was used and it was found that 7 differential target genes were mainly related to the negative regulation of proteolysis and wound healing. The David tool was used to perform the online GO analysis and KEGG analysis of 7 differential target genes and it was showed that these differential target genes were related to the negative regulation of endogenous peptidase activity,coagulation,endogenous peptidase inhibitor activity,actin binding and complement system. Conclusion:Differential target genes of myocardial infarction and unstable angina pectoris are mainly related to the activity of endopeptidase inhibitors and complement system,and main regulated differential target genes are CD59 and TFPI.

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伍燕宏,何劲松,杨小英,张衒,白法文,郑景辉.基于生物信息学对心肌梗死与不稳定型心绞痛差异靶基因的研究分析[J].重庆医科大学学报,2020,45(12):1780-1786

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  • 在线发布日期: 2020-12-28
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