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Print ISSN: 1791-2997 Online ISSN: 1791-3004
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March-2016 Volume 13 Issue 3

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Article

Identification of key pathways and genes in psoriasis via gene microarray analysis

  • Authors:
    • Wei Chen
    • Kuixia Xie
    • Xinhua Liu
    • Hong Chen
  • View Affiliations / Copyright

    Affiliations: Dermatological Department, Tianjin Fifth Centre Hospital, Tianjin 300450, P.R. China, School of Biomedical Engineering, Tianjin Medical University, Tianjin 300070, P.R. China, Dermatological Department, Tianjin People's Hospital, Tianjin 300121, P.R. China
  • Pages: 2327-2337
    |
    Published online on: January 15, 2016
       https://doi.org/10.3892/mmr.2016.4790
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Abstract

Psoriasis is a common chronic inflammatory, immune-mediated skin disease with a high incidence worldwide. It is a multifactorial disease and its exact pathogenesis has remained largely elusive. The purpose of the present study was to uncover the key pathways and genes associated with the incidence of psoriasis. Gene expression profiles (dataset no. GSE13355) were downloaded from Gene Expression Omnibus. Differentially expressed genes between skin samples from patients with lesional psoriasis or non‑lesional psoriasis and those of normal healthy controls were identified using Bioconductor version 2.13 based in R. Kyoto Encyclopedia of Genes and genomes (KEGG) pathways significantly enriched in patients with lesional psoriasis were identified using gene set enrichment analysis (GSEA). Key KEGG pathways were then identified using leading-edge analysis of the results of GSEA. Differentially expressed genes involved in the significantly enriched KEGG pathways were considered as key genes. Several KEGG pathways which are known to be associated with lesional psoriasis, including autoimmune thyroid disease signaling, natural killer cell-mediated cytotoxicity signaling, as well as several novel pathways, including FCγR-mediated phagocytosis and neurotrophin signaling pathway, were identified. Several verified and novel genes were also got. The present study revealed key pathways and genes associated with psoriasis, which may serve as important biomarkers for the diagnosis and treatment of psoriasis.
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Copy and paste a formatted citation
Spandidos Publications style
Chen W, Xie K, Liu X and Chen H: Identification of key pathways and genes in psoriasis via gene microarray analysis. Mol Med Rep 13: 2327-2337, 2016.
APA
Chen, W., Xie, K., Liu, X., & Chen, H. (2016). Identification of key pathways and genes in psoriasis via gene microarray analysis. Molecular Medicine Reports, 13, 2327-2337. https://doi.org/10.3892/mmr.2016.4790
MLA
Chen, W., Xie, K., Liu, X., Chen, H."Identification of key pathways and genes in psoriasis via gene microarray analysis". Molecular Medicine Reports 13.3 (2016): 2327-2337.
Chicago
Chen, W., Xie, K., Liu, X., Chen, H."Identification of key pathways and genes in psoriasis via gene microarray analysis". Molecular Medicine Reports 13, no. 3 (2016): 2327-2337. https://doi.org/10.3892/mmr.2016.4790
Copy and paste a formatted citation
x
Spandidos Publications style
Chen W, Xie K, Liu X and Chen H: Identification of key pathways and genes in psoriasis via gene microarray analysis. Mol Med Rep 13: 2327-2337, 2016.
APA
Chen, W., Xie, K., Liu, X., & Chen, H. (2016). Identification of key pathways and genes in psoriasis via gene microarray analysis. Molecular Medicine Reports, 13, 2327-2337. https://doi.org/10.3892/mmr.2016.4790
MLA
Chen, W., Xie, K., Liu, X., Chen, H."Identification of key pathways and genes in psoriasis via gene microarray analysis". Molecular Medicine Reports 13.3 (2016): 2327-2337.
Chicago
Chen, W., Xie, K., Liu, X., Chen, H."Identification of key pathways and genes in psoriasis via gene microarray analysis". Molecular Medicine Reports 13, no. 3 (2016): 2327-2337. https://doi.org/10.3892/mmr.2016.4790
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