Department of Neuromedicine, Peking University People's Hospital, Beijing, China.
Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Int J Med Sci. 2020 Jun 15;17(11):1508-1514. doi: 10.7150/ijms.41812. eCollection 2020.
To investigate the interactions among narcolepsy-associated genes and reveal the pathways these genes involved through bioinformatics analyses. 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. 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 ( and ). The bioinformatics results provide new insights into the molecular pathogenesis of narcolepsy and the identification of potential therapeutic targets for narcolepsy treatment.
为了探究嗜睡症相关基因之间的相互作用，并通过生物信息学分析揭示这些基因所涉及的通路。本研究按照以下步骤进行：1）通过文献回顾选择已发现的嗜睡症风险基因，2）进行通路富集分析，并构建嗜睡症的基因-基因和蛋白质-蛋白质相互作用（PPI）网络。1）GO 分析显示干扰素-γ产生的正调控是生物学过程中最富集的术语，C-C 趋化因子受体活性是分子功能中最富集的术语，2）KEGG 通路富集分析显示细胞因子-细胞因子受体相互作用信号通路中基因的选择性富集，3）鉴定出五个枢纽基因（和）。生物信息学结果为嗜睡症的分子发病机制提供了新的见解，并为嗜睡症治疗的潜在治疗靶点的识别提供了依据。
