Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis
Joint Authors
Chen, Da-Qiu
Kong, Xiang-Sheng
Shen, Xue-Bin
Huang, Mao-Zhi
Zheng, Jian-Ping
Sun, Jing
Xu, Shang-Hua
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-01
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Background.
Acute myocardial infarction (AMI) is a common disease with high morbidity and mortality around the world.
The aim of this research was to determine the differentially expressed genes (DEGs), which may serve as potential therapeutic targets or new biomarkers in AMI.
Methods.
From the Gene Expression Omnibus (GEO) database, three gene expression profiles (GSE775, GSE19322, and GSE97494) were downloaded.
To identify the DEGs, integrated bioinformatics analysis and robust rank aggregation (RRA) method were applied.
These DEGs were performed through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses by using Clusterprofiler package.
In order to explore the correlation between these DEGs, the interaction network of protein-protein internet (PPI) was constructed using the STRING database.
Utilizing the MCODE plug-in of Cytoscape, the module analysis was performed.
Utilizing the cytoHubba plug-in, the hub genes were screened out.
Results.
57 DEGs in total were identified, including 2 down- and 55 upregulated genes.
These DEGs were mainly enriched in cytokine-cytokine receptor interaction, chemokine signaling pathway, TNF signaling pathway, and so on.
The module analysis filtered out 18 key genes, including Cxcl5, Arg1, Cxcl1, Spp1, Selp, Ptx3, Tnfaip6, Mmp8, Serpine1, Ptgs2, Il6, Il1r2, Il1b, Ccl3, Ccr1, Hmox1, Cxcl2, and Ccl2.
Ccr1 was the most fundamental gene in PPI network.
4 hub genes in total were identified, including Cxcl1, Cxcl2, Cxcl5, and Mmp8.
Conclusion.
This study may provide credible molecular biomarkers in terms of screening, diagnosis, and prognosis for AMI.
Meanwhile, it also serves as a basis for exploring new therapeutic target for AMI.
American Psychological Association (APA)
Chen, Da-Qiu& Kong, Xiang-Sheng& Shen, Xue-Bin& Huang, Mao-Zhi& Zheng, Jian-Ping& Sun, Jing…[et al.]. 2019. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis. Cardiovascular Therapeutics،Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129188
Modern Language Association (MLA)
Chen, Da-Qiu…[et al.]. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis. Cardiovascular Therapeutics No. 2019 (2019), pp.1-13.
https://search.emarefa.net/detail/BIM-1129188
American Medical Association (AMA)
Chen, Da-Qiu& Kong, Xiang-Sheng& Shen, Xue-Bin& Huang, Mao-Zhi& Zheng, Jian-Ping& Sun, Jing…[et al.]. Identification of Differentially Expressed Genes and Signaling Pathways in Acute Myocardial Infarction Based on Integrated Bioinformatics Analysis. Cardiovascular Therapeutics. 2019. Vol. 2019, no. 2019, pp.1-13.
https://search.emarefa.net/detail/BIM-1129188
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129188