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Article

Comprehensive bioinformatics analyses of Crohn's disease

  • Authors:
    • Yi Zhou
    • Cheng Zhan
    • Yingyu Huang
    • Hongchun Liu
  • View Affiliations / Copyright

    Affiliations: Department of Gastroenterology, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China, Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P.R. China
  • Pages: 2267-2272
    |
    Published online on: February 28, 2017
       https://doi.org/10.3892/mmr.2017.6250
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Abstract

Crohn's disease (CD) is a chronic, relapsing inflammatory disease with increasing incidence and prevalence worldwide. In previous years, the accumulation of microarray data has provided us an approach to obtain further insight into CD. In the present study, the microarray data of CD was comprehensively analyzed using multiple bioinformatics methods, and the pathobiological process of the disease was examined. Gene expression data from colon tissues of patients with CD were obtained from the Gene Expression Omnibus database; following which differentially expressed genes were identified between CD and control sample groups. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed to investigate which functions and pathways in which the differentially expressed genes enriched. TargetScan and miRDB databases were then used to predict which microRNAs (miRNAs) regulated the differentially expressed genes. As a result, a total of 432 differentially expressed genes, including 229 upregulated and 203 downregulated genes, including matrix metallopeptidase 3 and glutathione S‑transferase α1, were identified in CD samples. These differentially expressed genes were significantly involved in regulation of the inflammatory response, innate immune response, cell migration, extracellular matrix organization, Janus kinase/signal transducers and activators of transcription signaling pathway, and cytokine‑cytokine receptor interaction. The miRNA-gene network showed that miR‑149‑3p and miR‑4447 regulated the most differentially expressed genes. These findings extend current understanding of the mechanisms underlying CD, and the differentially expressed genes and regulator miRNAs identified may be used as potential biomarkers and therapeutic targets for CD.
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Copy and paste a formatted citation
Spandidos Publications style
Zhou Y, Zhan C, Huang Y and Liu H: Comprehensive bioinformatics analyses of Crohn's disease. Mol Med Rep 15: 2267-2272, 2017.
APA
Zhou, Y., Zhan, C., Huang, Y., & Liu, H. (2017). Comprehensive bioinformatics analyses of Crohn's disease. Molecular Medicine Reports, 15, 2267-2272. https://doi.org/10.3892/mmr.2017.6250
MLA
Zhou, Y., Zhan, C., Huang, Y., Liu, H."Comprehensive bioinformatics analyses of Crohn's disease". Molecular Medicine Reports 15.4 (2017): 2267-2272.
Chicago
Zhou, Y., Zhan, C., Huang, Y., Liu, H."Comprehensive bioinformatics analyses of Crohn's disease". Molecular Medicine Reports 15, no. 4 (2017): 2267-2272. https://doi.org/10.3892/mmr.2017.6250
Copy and paste a formatted citation
x
Spandidos Publications style
Zhou Y, Zhan C, Huang Y and Liu H: Comprehensive bioinformatics analyses of Crohn's disease. Mol Med Rep 15: 2267-2272, 2017.
APA
Zhou, Y., Zhan, C., Huang, Y., & Liu, H. (2017). Comprehensive bioinformatics analyses of Crohn's disease. Molecular Medicine Reports, 15, 2267-2272. https://doi.org/10.3892/mmr.2017.6250
MLA
Zhou, Y., Zhan, C., Huang, Y., Liu, H."Comprehensive bioinformatics analyses of Crohn's disease". Molecular Medicine Reports 15.4 (2017): 2267-2272.
Chicago
Zhou, Y., Zhan, C., Huang, Y., Liu, H."Comprehensive bioinformatics analyses of Crohn's disease". Molecular Medicine Reports 15, no. 4 (2017): 2267-2272. https://doi.org/10.3892/mmr.2017.6250
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