Expression profile analysis based on DNA microarray for patients undergoing off-pump coronary artery bypass surgery.
Expression profile analysis based on DNA microarray for patients undergoing off-pump coronary artery bypass surgery.
复制标题
基于DNA微阵列的表达概况分析，用于接受非泵冠状动脉搭桥手术的患者。
DOI：
10.3892/etm.2016.3003
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发表时间：
2016-03
影响因子：
2.7
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Sun Y;Gao Y;Sun J;Liu X;Ma D;Ma C;Wang Y
非体外循环冠状动脉搭桥术（OPCAB）是治疗冠心病最有效的方法。本研究的目的是在相关分子机制的基础上探讨OPCAB的作用。分析从基因表达综合数据库（Gene expression Omnibus database， GEO）下载的GSE12486表达谱，鉴定差异表达基因（differential expression genes, DEGs）。基于deg的表达谱进行主成分分析（PCA）。对上调的DEGs进行功能和途径富集，随后进行蛋白-蛋白相互作用（PPI）网络构建。基因集富集分析（GSEA）用于基于表达谱的miRNA富集分析及其与疾病的相关性预测。利用细胞景观技术构建DEGs的miRNA调控网络。共鉴定出64个deg，其中63个基因上调，1个基因下调。第一个主成分在PCA分析能够区分前和后opcab样本。上调的deg主要富集了趋化因子活性等20个基因本体术语和趋化因子信号通路等5条通路。构建的PPI网络包含234条边和55个节点，其中包括FBJ小鼠骨肉瘤病毒癌基因同源（FOS）在内的10个上调枢纽节点。通过GSEA富集分析共筛选了36个mirna，包括MIR-224和MIR-7。构建了包含176个边和97个节点的miRNA调控网络，显示了miRNA与DEGs之间的调控关系。例如，早期生长反应2 （EGR2）由MIR-150、MIR-142-3P、MIR-367和MIR-224等8种mirna调控。发现的deg可能通过调控相关基因在患者术前和术后opcab手术中发挥重要作用。
Off-pump coronary artery bypass (OPCAB) surgery is the most effective treatment for coronary heart disease. The aim of this study was to explore the effects of OPCAB on the basis of the associated molecular mechanisms. GSE12486 expression profiles downloaded from the Gene Expression Omnibus database (GEO) were analyzed to identify the differentially expressed genes (DEGs). Principal component analysis (PCA) was conducted based on the expression profiles of DEGs. Function and pathway enrichment of upregulated DEGs was performed, followed by protein-protein interaction (PPI) network construction. Gene Set Enrichment Analysis (GSEA) was used for miRNA enrichment analysis based on expression profiles and prediction of their association with the disease. Cytoscape was applied to construct miRNA regulatory networks of DEGs. In total 64 DEGs were identified, including 63 upregulated and 1 downregulated gene. The first principal component in the PCA analysis was able to distinguish between pre- and post-OPCAB samples. Upregulated DEGs mainly enriched 20 Gene Ontology terms, such as chemokine activity, and 5 pathways including the chemokine signaling pathway. The constructed PPI network contained 234 edges and 55 nodes, and 10 upregulated hub nodes, including FBJ murine osteosarcoma viral oncogene homolog (FOS), were screened. A total of 36 miRNAs, including MIR-224 and MIR-7, were screened by GSEA enrichment analysis. A miRNA regulatory network including 176 edges and 97 nodes was constructed, showing the regulatory relationships between miRNAs and DEGs. For example, early growth response 2 (EGR2) was regulated by 8 miRNAs including MIR-150, MIR-142-3P, MIR-367 and MIR-224. The identified DEGs might play important roles in patients pre- and post-OPCAB surgery via the regulation of associated genes.