Int J Med Sci 2020; 17(11):1508-1514. doi:10.7150/ijms.41812
Analyzing Functional Pathways and constructing gene-gene network for Narcolepsy based on candidate genes
1. Department of Neuromedicine, Peking University People's Hospital, Beijing, China.
2. Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Ouyang H, Zhou Z, Zheng Q, Zhang J. Analyzing Functional Pathways and constructing gene-gene network for Narcolepsy based on candidate genes. Int J Med Sci 2020; 17(11):1508-1514. doi:10.7150/ijms.41812. Available from https://www.medsci.org/v17p1508.htm
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: single-nucleotide polymorphisms, candidate gene, hypothalamic neurons, neurodegeneration, neurology