摘要
目的识别冠心病(CHD)的差异表达基因(DEGs),通过分析DEGs参与的生物学途径阐明CHD疾病发生涉及的细胞内通路。方法从GEO数据库下载两个已发表的CHD微阵列数据集中mRNA表达芯片的原始数据。筛选DEGs并对其进行生物信息学分析,包括Venn分析、基因本体(GO)注释分析、KEGG(Kyoto Encyclopedia of Genes and Genomes)细胞通路富集分析、蛋白质相互作用(PPI)网络分析。采用实时荧光定量聚合酶链反应(RT-qPCR)验证CHD病例外周血中核心DEGs的表达水平。结果共筛选出122个CHD的DEGs。GO及KEGG分析显示,这些DEGs参与了DNA转录和mRNA剪接调控。PPI网络分析显示,表达下调基因LUC7L3、HNRNPA1、SF3B1、ARGLU1、SRSF5、SRSF11、SREK1、PNISR、DIDO1、ZRSR2和NKTR位于网络中心,且这些基因均为DNA转录和RNA剪接相关基因。RT-qPCR检测证实以上基因在CHD中均表达下降,与前期芯片结果一致。结论RNA剪接在CHD的发生过程中可能发挥了重要作用。
Objective To identify the differentially expressed genes(DEGs)in coronary heart disease(CHD),and to clarify the cellular pathways involved in the onset of CHD by analyzing the biological pathways involving such DEGs.MethodsThe raw data of two published mRNA expression microarray datasets of CHD were downloaded from the GEO database.DEGs were screened out and a bioinformatics analysis was performed,including Venn analysis,gene ontology(GO)annotation analysis,Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis,and protein-protein interaction(PPI)network analysis.RT-qPCR was used to validate the expression levels of core DEGs in peripheral blood of patients with CHD.ResultsA total of 122 DEGs were screened out in CHD.GO and KEGG analyses showed that these DEGs were involved in DNA transcription and mRNA splicing regulation.The PPI network analysis showed the downregulated genes LUC7L3,HNRNPA1,SF3B1,ARGLU1,SRSF5,SRSF11,SREK1,PNISR,DIDO1,ZRSR2,and NKTR were located in the center of the network,and all these genes were associated with DNA transcription and RNA splicing regulation.RT-qPCR confirmed that all the above genes were downregulated in CHD,which was consistent with the previous microarray results.Conclusion RNA splicing may play an important role in the development of CHD.
作者
李召水
王光静
乔友进
生伟
黄强
池一凡
LI Zhaoshui;WANG Guangjing;QIAO Youjin;SHENG Wei;HUANG Qiang;CHI Yifan(Department of Car-diovascular Surgery, Qingdao Hiser Hospital Affiliated to Qingdao University, Qingdao 266033, China)
出处
《青岛大学学报（医学版）》
2021年第6期852-859,共8页
Journal of Qingdao University(Medical Sciences)
基金
山东省中医药科技重点项目(2020Z30)。
关键词
冠心病
基因表达
计算生物学
RNA剪接
coronary disease
gene expression
computational biology
RNA splicing
