Analyzing Functional Pathways and constructing gene-gene network for Narcolepsy based on candidate genes

Int J Med Sci. 2020 Jun 15;17(11):1508-1514. doi: 10.7150/ijms.41812. eCollection 2020.

Abstract

Aims: To investigate the interactions among narcolepsy-associated genes and reveal the pathways these genes involved through bioinformatics analyses. Methods: The study was performed with the following steps: 1) Selected the previously discovered narcolepsy risk genes through literature review, 2) pathway enrichment analysis, and construction of gene-gene and protein-protein interaction (PPI) networks for narcolepsy. Results: 1) GO analysis revealed the positive regulation of interferon-gamma production as the most enriched terms in biological process, and C-C chemokine receptor activity as the most enriched term in molecular function, 2) KEGG pathway enrichment analysis revealed selective enrichment of genes in cytokine-cytokine receptor interaction signaling pathways, and 3) five hub genes were identified (IFNAR1, IL10RB, DNMT1, TNFSF4 and NFATC2). Conclusion: The bioinformatics results provide new insights into the molecular pathogenesis of narcolepsy and the identification of potential therapeutic targets for narcolepsy treatment.

Keywords: candidate gene; hypothalamic neurons; neurodegeneration; neurology; single-nucleotide polymorphisms.

MeSH terms

  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Cell Line, Tumor
  • Computational Biology
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic / genetics
  • Gene Ontology
  • Gene Regulatory Networks / genetics
  • Gene Regulatory Networks / physiology*
  • Humans
  • Narcolepsy / genetics*
  • Protein Interaction Maps / genetics
  • Protein Interaction Maps / physiology
  • Signal Transduction / genetics
  • Signal Transduction / physiology

Substances

  • Biomarkers, Tumor