Biodata Mining of Differentially Expressed Genes between Acute Myocardial Infarction and Unstable Angina Based on Integrated Bioinformatics.
Biodata Mining of Differentially Expressed Genes between Acute Myocardial Infarction and Unstable Angina Based on Integrated Bioinformatics.
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DOI：
10.1155/2021/5584681
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发表时间：
2021
影响因子：
--
通讯作者：
Wu J
中科院分区：
文献类型：
--
作者：
Guo S;Huang Z;Liu X;Zhang J;Ye P;Wu C;Lu S;Jia S;Zhang X;Chen X;Wang M;Wu J
急性冠状动脉综合征（ACS）是一种临床症状复杂的综合征。为了准确诊断ACS患者的疾病类型，本研究旨在探讨急性心肌梗死（AMI）与不稳定型心绞痛（UA）之间的差异表达基因（DEG）和生物学通路。包含来自 AMI 和 UA 患者的微阵列数据的 GSE29111 和 GSE60993 数据集是从基因表达综合 (GEO) 数据库下载的。使用 R 软件中的“limma”包对这 2 个数据集进行 DEG 分析。还使用蛋白质-蛋白质相互作用（PPI）、分子复合物检测（MCODE）算法、基因本体论（GO）和京都基因和基因组百科全书（KEGG）富集分析来分析DEG。使用相关分析和“cytoHubba”来分析枢纽基因。从GSE29111和GSE60993中总共获得286个DEG，其中上调基因132个，下调基因154个。随后综合分析确定了20个可能与AMI和UA发生发展相关的关键基因，涉及炎症反应、神经活性配体-受体相互作用、钙信号通路、炎症介质对TRP通道的调节、病毒蛋白与细胞因子和细胞因子受体相互作用、人巨细胞病毒感染、细胞因子-细胞因子受体相互作用通路等。综合生物信息分析可以提高我们对 AMI 和 UA 之间 DEG 的理解。本研究结果可能为ACS的早期诊断和治疗提供新的视角和参考。
Acute coronary syndrome (ACS) is a complex syndrome of clinical symptoms. In order to accurately diagnose the type of disease in ACS patients, this study is aimed at exploring the differentially expressed genes (DEGs) and biological pathways between acute myocardial infarction (AMI) and unstable angina (UA). The GSE29111 and GSE60993 datasets containing microarray data from AMI and UA patients were downloaded from the Gene Expression Omnibus (GEO) database. DEG analysis of these 2 datasets is performed using the “limma” package in R software. DEGs were also analyzed using protein-protein interaction (PPI), Molecular Complex Detection (MCODE) algorithm, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Correlation analysis and “cytoHubba” were used to analyze the hub genes. A total of 286 DEGs were obtained from GSE29111 and GSE60993, including 132 upregulated genes and 154 downregulated genes. Subsequent comprehensive analysis identified 20 key genes that may be related to the occurrence and development of AMI and UA and were involved in the inflammatory response, interaction of neuroactive ligand-receptor, calcium signaling pathway, inflammatory mediator regulation of TRP channels, viral protein interaction with cytokine and cytokine receptor, human cytomegalovirus infection, and cytokine-cytokine receptor interaction pathway. The integrated bioinformatical analysis could improve our understanding of DEGs between AMI and UA. The results of this study might provide a new perspective and reference for the early diagnosis and treatment of ACS.
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影响因子：
5.8
作者：
Gu, Zuguang;Eils, Roland;Schlesner, Matthias
通讯作者：
Schlesner, Matthias
影响因子：
3.7
作者：
Fu, Denggang;Zhang, Biyu;Xin, Wang
通讯作者：
Xin, Wang
DOI：
10.1177/2048872617700873
发表时间：
2018-03
期刊：
European heart journal. Acute cardiovascular care
影响因子：
--
作者：
Bebb O;Smith FG;Clegg A;Hall M;Gale CP
通讯作者：
Gale CP
影响因子：
4
作者：
Ahern, Gerard P.
通讯作者：
Ahern, Gerard P.
影响因子：
4.8
作者：
Fujii, R;Yoshida, H;Fujino, M
通讯作者：
Fujino, M