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Article

Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease

  • Authors:
    • Huan Zhang
    • Tao Li
    • Guanji Wu
    • Feng Ma
  • View Affiliations / Copyright

    Affiliations: Department of Cardiovascular Medicine, Xi'an Central Hospital, Xi'an, Shaanxi 710003, P.R. China
  • Pages: 1151-1154
    |
    Published online on: March 7, 2014
       https://doi.org/10.3892/etm.2014.1610
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Abstract

Coronary artery disease (CAD) is the most common type of cardiovascular disease and leading cause of mortality worldwide. Microarray technology for gene expression analysis has facilitated the identification of the molecular mechanism that underlies the pathogenesis of CAD. Previous studies have primarily used variance or regression analysis, without considering array specific factors. Thus, the aim of the present study was to investigate the mechanism of CAD using partial least squares (PLS)‑based analysis, which was integrated with the Monte Carlo technique. Microarray analysis was performed with a data set of 110 CAD patients and 111 controls obtained from the Gene Expression Omnibus database. A total of 390 dysregulated genes were acquired. Significantly increased representations of dysregulated genes in Gene Ontology items, including transforming growth factor β‑activated receptor activity and acyl‑CoA oxidase activity, were identified. Network analysis revealed three hub genes with a degree of >10, including ESR1, ITGA4 and ARRB2. The results of the present study provide novel information on the gene expression signatures of CAD patients and offer further theoretical support for future therapeutic study.
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Copy and paste a formatted citation
Spandidos Publications style
Zhang H, Li T, Wu G and Ma F: Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease. Exp Ther Med 7: 1151-1154, 2014.
APA
Zhang, H., Li, T., Wu, G., & Ma, F. (2014). Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease. Experimental and Therapeutic Medicine, 7, 1151-1154. https://doi.org/10.3892/etm.2014.1610
MLA
Zhang, H., Li, T., Wu, G., Ma, F."Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease". Experimental and Therapeutic Medicine 7.5 (2014): 1151-1154.
Chicago
Zhang, H., Li, T., Wu, G., Ma, F."Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease". Experimental and Therapeutic Medicine 7, no. 5 (2014): 1151-1154. https://doi.org/10.3892/etm.2014.1610
Copy and paste a formatted citation
x
Spandidos Publications style
Zhang H, Li T, Wu G and Ma F: Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease. Exp Ther Med 7: 1151-1154, 2014.
APA
Zhang, H., Li, T., Wu, G., & Ma, F. (2014). Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease. Experimental and Therapeutic Medicine, 7, 1151-1154. https://doi.org/10.3892/etm.2014.1610
MLA
Zhang, H., Li, T., Wu, G., Ma, F."Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease". Experimental and Therapeutic Medicine 7.5 (2014): 1151-1154.
Chicago
Zhang, H., Li, T., Wu, G., Ma, F."Integration of partial least squares and Monte Carlo gene expression analysis in coronary artery disease". Experimental and Therapeutic Medicine 7, no. 5 (2014): 1151-1154. https://doi.org/10.3892/etm.2014.1610
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