| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Liu, Jing Jing, Ling Tu, Xilin |
| Abstract | Background The analysis of the potential molecule targets of coronary artery disease (CAD) is critical for understanding the molecular mechanisms of disease. However, studies of global microarray gene co-expression analysis of CAD still remain limited. Methods Microarray data of CAD (GSE23561) were downloaded from Gene Expression Omnibus, including peripheral blood samples from CAD patients (n = 6) and controls (n = 9). Limma package in R was used to identify the differentially expressed genes (DEGs) between CAD and control samples. Using weighted gene co-expression network analysis (WGCNA) package in R, WGCNA was performed to identify significant modules in the network. Then, functional and pathway enrichment analyses were conducted for genes in the most significant module using DAVID software. Moreover, hub genes in the module were analyzed by isubpathwayminer package in R and GenCLiP 2.0 tool to identify the significant sub-pathways. Results Total 3711 DEGs and 21 modules for them were identified in CAD samples. The most significant module was associated with the pathways of hypertrophic cardiomyopathy and membrane related functions. In addition, the top 30 hub genes with high connectivity in the module were selected, and two genes (G6PD and S100A7) were taken as key molecules via sub-pathway screening and data mining. Conclusions A module associated with hypertrophic cardiomyopathy pathway was detected in CAD samples. G6PD and S100A7 were the potential targets in CAD. Our finding might provide novel insight into the underlying molecular mechanism of CAD. |
| Related Links | https://bmccardiovascdisord.biomedcentral.com/counter/pdf/10.1186/s12872-016-0217-3.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712261 |
| DOI | 10.1186/s12872-016-0217-3 |
| Journal | BMC Cardiovascular Disorders |
| Issue Number | 1 |
| Volume Number | 16 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2016-03-05 |
| Access Restriction | Open |
| Subject Keyword | Cardiology Cardiac Surgery Angiology Blood Transfusion Medicine Internal Medicine Medicine Public Health Coronary artery disease Weighted Gene Co-expression Network Analysis Significant modules Hub genes Medicine/Public Health |
| Content Type | Text |
| Resource Type | Article |
| Subject | Cardiology and Cardiovascular Medicine |
| Journal Impact Factor | 2/2023 |
| 5-Year Journal Impact Factor | 2.3/2023 |
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