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International Journal of Molecular Medicine
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Print ISSN: 1107-3756 Online ISSN: 1791-244X
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September-2014 Volume 34 Issue 3

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International Journal of Molecular Medicine

International Journal of Molecular Medicine

International Journal of Molecular Medicine is an international journal devoted to molecular mechanisms of human disease.

International Journal of Oncology

International Journal of Oncology

International Journal of Oncology is an international journal devoted to oncology research and cancer treatment.

Molecular Medicine Reports

Molecular Medicine Reports

Covers molecular medicine topics such as pharmacology, pathology, genetics, neuroscience, infectious diseases, molecular cardiology, and molecular surgery.

Oncology Reports

Oncology Reports

Oncology Reports is an international journal devoted to fundamental and applied research in Oncology.

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine

Experimental and Therapeutic Medicine is an international journal devoted to laboratory and clinical medicine.

Oncology Letters

Oncology Letters

Oncology Letters is an international journal devoted to Experimental and Clinical Oncology.

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Explores a wide range of biological and medical fields, including pharmacology, genetics, microbiology, neuroscience, and molecular cardiology.

Molecular and Clinical Oncology

Molecular and Clinical Oncology

International journal addressing all aspects of oncology research, from tumorigenesis and oncogenes to chemotherapy and metastasis.

World Academy of Sciences Journal

World Academy of Sciences Journal

Multidisciplinary open-access journal spanning biochemistry, genetics, neuroscience, environmental health, and synthetic biology.

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International Journal of Functional Nutrition

Open-access journal combining biochemistry, pharmacology, immunology, and genetics to advance health through functional nutrition.

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Article

Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis

  • Authors:
    • Xuemei Zhang
    • Xiaoshu Cheng
    • Huifeng Liu
    • Chunhua Zheng
    • Kunrui Rao
    • Yi Fang
    • Hairong Zhou
    • Shenghe Xiong
  • View Affiliations / Copyright

    Affiliations: Department of Cardiology, Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, P.R. China, Department of Cardiology, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, P.R. China, Department of Cardiology, Xiaolan People's Hospital, Zhongshan, Guangdong 528415, P.R. China, Department of Cardiology, Second People's Hospital, Mudanjiang, Heilongjiang 157000, P.R. China
  • Pages: 863-869
    |
    Published online on: June 23, 2014
       https://doi.org/10.3892/ijmm.2014.1817
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Abstract

The aim of this study was to identify key genes associated with coronary artery disease (CAD) and to explore the related signaling pathways. Gene expression profiles of 110 CAD and 112 non-CAD, healthy patients [CAD index (CADi) >23 and =0, respectively] were downloaded from the Gene Expression Omnibus (GEO) database (accession: GSE12288). The differentially expressed genes (DEGs) in CAD were identified using t-tests, and protein-protein interaction (PPI) networks for these DEGs were constructed using the Search Tool for the Retrieval of InteractiNg Genes (STRING) database. The Database for Annotation, Visualization and Integrated Discovery (DAVID) tool was used to identify potentially enriched biological processes (BP) among the DEGs using Gene Ontology (GO) terms, and to identify the related pathways using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway database. In addition, expression-activated subnetworks (crucial modules) of the constructed PPI networks were identified using the jActiveModule plug-in, and their topological properties were analyzed using NetworkAnalyzer, both available from Cytoscape. The patient specimens were classified as grade I, II and III based on CADi values. There were 151 DEGs in grade I, 362 in grade II and 425 in grade III. In the PPI network, the gene GRB2, encoding the growth factor receptor-bound protein 2, was the only common DEG among the three grades. In addition, 10 crucial modules were identified in the PPIs, 4 of which showed significant enrichment for GO BP terms. In the 12 nodes with the highest betweenness centrality, we found two genes, encoding GRB2 and the heat shock 70 kDa protein 8 (HSPA8). Moreover, the chemokine and focal adhesion signaling pathways were selected based on their relative abundance in CAD. The GRB2 and HSPA8 proteins, as well as the chemokine and focal adhension signaling pathways, might therefore be critical for the development of CAD.

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Copy and paste a formatted citation
Spandidos Publications style
Zhang X, Cheng X, Liu H, Zheng C, Rao K, Fang Y, Zhou H and Xiong S: Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis. Int J Mol Med 34: 863-869, 2014.
APA
Zhang, X., Cheng, X., Liu, H., Zheng, C., Rao, K., Fang, Y. ... Xiong, S. (2014). Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis. International Journal of Molecular Medicine, 34, 863-869. https://doi.org/10.3892/ijmm.2014.1817
MLA
Zhang, X., Cheng, X., Liu, H., Zheng, C., Rao, K., Fang, Y., Zhou, H., Xiong, S."Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis". International Journal of Molecular Medicine 34.3 (2014): 863-869.
Chicago
Zhang, X., Cheng, X., Liu, H., Zheng, C., Rao, K., Fang, Y., Zhou, H., Xiong, S."Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis". International Journal of Molecular Medicine 34, no. 3 (2014): 863-869. https://doi.org/10.3892/ijmm.2014.1817
Copy and paste a formatted citation
x
Spandidos Publications style
Zhang X, Cheng X, Liu H, Zheng C, Rao K, Fang Y, Zhou H and Xiong S: Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis. Int J Mol Med 34: 863-869, 2014.
APA
Zhang, X., Cheng, X., Liu, H., Zheng, C., Rao, K., Fang, Y. ... Xiong, S. (2014). Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis. International Journal of Molecular Medicine, 34, 863-869. https://doi.org/10.3892/ijmm.2014.1817
MLA
Zhang, X., Cheng, X., Liu, H., Zheng, C., Rao, K., Fang, Y., Zhou, H., Xiong, S."Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis". International Journal of Molecular Medicine 34.3 (2014): 863-869.
Chicago
Zhang, X., Cheng, X., Liu, H., Zheng, C., Rao, K., Fang, Y., Zhou, H., Xiong, S."Identification of key genes and crucial modules associated with coronary artery disease by bioinformatics analysis". International Journal of Molecular Medicine 34, no. 3 (2014): 863-869. https://doi.org/10.3892/ijmm.2014.1817
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