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Article Open Access

Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology

  • Authors:
    • Xi Wang
    • Yujie Ning
    • Xiong Guo
  • View Affiliations / Copyright

    Affiliations: School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, Xi'an, Shaanxi 710061, P.R. China
    Copyright: © Wang et al. This is an open access article distributed under the terms of Creative Commons Attribution License [CC BY_NC 3.0].
  • Pages: 3439-3445
    |
    Published online on: May 15, 2015
       https://doi.org/10.3892/mmr.2015.3790
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Abstract

The aim of the present study was to identify differentially expressed (DE) genes in patients with osteoarthritis (OA), and biological processes associated with changes in gene expression that occur in this disease. Using the INMEX (integrative meta‑analysis of expression data) software tool, a meta‑analysis of publicly available microarray Gene Expression Omnibus (GEO) datasets of OA was performed. Gene ontology (GO) enrichment analysis was performed in order to detect enriched functional attributes based on gene‑associated GO terms. Three GEO datasets, containing 137 patients with OA and 52 healthy controls, were included in the meta‑analysis. The analysis identified 85 genes that were consistently differentially expressed in OA (30 genes were upregulated and 55 genes were downregulated). The upregulated gene with the lowest P‑value (P=5.36E‑07) was S‑phase kinase‑associated protein 2, E3 ubiquitin protein ligase (SKP2). The downregulated gene with the lowest P‑value (P=4.42E‑09) was Proline rich 5 like (PRR5L). Among the 210 GO terms that were associated with the set of DE genes, the most significant two enrichments were observed in the GO categories of 'Immune response', with a P‑value of 0.000129438, and 'Immune effectors process', with a P‑value of 0.000288619. The current meta‑analysis identified genes that were consistently DE in OA, in addition to biological pathways associated with changes in gene expression that occur during OA, which may provide insight into the molecular mechanisms underlying the pathogenesis of this disease.
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Copy and paste a formatted citation
Spandidos Publications style
Wang X, Ning Y and Guo X: Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology. Mol Med Rep 12: 3439-3445, 2015.
APA
Wang, X., Ning, Y., & Guo, X. (2015). Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology. Molecular Medicine Reports, 12, 3439-3445. https://doi.org/10.3892/mmr.2015.3790
MLA
Wang, X., Ning, Y., Guo, X."Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology". Molecular Medicine Reports 12.3 (2015): 3439-3445.
Chicago
Wang, X., Ning, Y., Guo, X."Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology". Molecular Medicine Reports 12, no. 3 (2015): 3439-3445. https://doi.org/10.3892/mmr.2015.3790
Copy and paste a formatted citation
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Spandidos Publications style
Wang X, Ning Y and Guo X: Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology. Mol Med Rep 12: 3439-3445, 2015.
APA
Wang, X., Ning, Y., & Guo, X. (2015). Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology. Molecular Medicine Reports, 12, 3439-3445. https://doi.org/10.3892/mmr.2015.3790
MLA
Wang, X., Ning, Y., Guo, X."Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology". Molecular Medicine Reports 12.3 (2015): 3439-3445.
Chicago
Wang, X., Ning, Y., Guo, X."Integrative meta-analysis of differentially expressed genes in osteoarthritis using microarray technology". Molecular Medicine Reports 12, no. 3 (2015): 3439-3445. https://doi.org/10.3892/mmr.2015.3790
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