Identification of Key Pathways and Genes in Advanced Coronary Atherosclerosis Using Bioinformatics Analysis
Joint Authors
Dong, Pengzhi
Tian, Xiaoxuan
Tan, Xiaowen
Zhang, Xiting
Pan, Lanlan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-31
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Background.
Coronary artery atherosclerosis is a chronic inflammatory disease.
This study aimed to identify the key changes of gene expression between early and advanced carotid atherosclerotic plaque in human.
Methods.
Gene expression dataset GSE28829 was downloaded from Gene Expression Omnibus (GEO), including 16 advanced and 13 early stage atherosclerotic plaque samples from human carotid.
Differentially expressed genes (DEGs) were analyzed.
Results.
42,450 genes were obtained from the dataset.
Top 100 up- and downregulated DEGs were listed.
Functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) identification were performed.
The result of functional and pathway enrichment analysis indicted that the immune system process played a critical role in the progression of carotid atherosclerotic plaque.
Protein-protein interaction (PPI) networks were performed either.
Top 10 hub genes were identified from PPI network and top 6 modules were inferred.
These genes were mainly involved in chemokine signaling pathway, cell cycle, B cell receptor signaling pathway, focal adhesion, and regulation of actin cytoskeleton.
Conclusion.
The present study indicated that analysis of DEGs would make a deeper understanding of the molecular mechanisms of atherosclerosis development and they might be used as molecular targets and diagnostic biomarkers for the treatment of atherosclerosis.
American Psychological Association (APA)
Tan, Xiaowen& Zhang, Xiting& Pan, Lanlan& Tian, Xiaoxuan& Dong, Pengzhi. 2017. Identification of Key Pathways and Genes in Advanced Coronary Atherosclerosis Using Bioinformatics Analysis. BioMed Research International،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1136980
Modern Language Association (MLA)
Tan, Xiaowen…[et al.]. Identification of Key Pathways and Genes in Advanced Coronary Atherosclerosis Using Bioinformatics Analysis. BioMed Research International No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1136980
American Medical Association (AMA)
Tan, Xiaowen& Zhang, Xiting& Pan, Lanlan& Tian, Xiaoxuan& Dong, Pengzhi. Identification of Key Pathways and Genes in Advanced Coronary Atherosclerosis Using Bioinformatics Analysis. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1136980
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136980