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睡眠剥夺相关基因的筛选与生物信息学分析
Bioinformatic analysis of genes related to sleep deprivation
目的 从分子水平揭示睡眠剥夺对小鼠大脑海马体的影响，为睡眠剥夺相关疾病的基础研究和临床治疗提供新思路。 方法 从基因表达综合数据库(GEO)中下载睡眠剥夺相关基因芯片数据集，利用Qlucore Omics Explorer（QOE）3.0 软件、String、Panther 等工具对睡眠剥夺差异基因进行生物信息学分析。 结果 在101个差异表达基因所编码的蛋白中，有45个存在蛋白与蛋白的相互作用关系；其中涉及主要的生物学通路包括促性腺激素释放激素受体通路、肾上腺素和去肾上腺素生物合成通路、细胞凋亡信号通路、亨廷顿舞蹈病通路和帕金森病通路等；主要涉及的生物学过程包括代谢过程、生物调节过程、发育过程、细胞定位过程、免疫系统过程和细胞凋亡过程等。 结论 通过生物信息学分析睡眠剥夺相关芯片数据，提示睡眠剥夺能够影响大脑海马体的基因表达，对相关基因的分析可为下一步实验提供有价值的线索。
Objective To investigate the genes associated with sleep deprivation of hippocampus of the mouse and explore the molecular mechanism of sleep. Methods The microarray data of sleep deprivation was downloaded from the Gene Expression Omnibus (GEO) database and analyzed by bioinformatics methods using the software of Qlucore Omics Explorer(QOE) 3.0, and the database of String and Panther. Results Of the 101 differentially expressed genes, 45 were found to encode proteins with interactions; the main biological signaling pathways involved included gonadotropin-releasing hormone receptor pathway, adrenaline and noradrenaline biosynthesis, apoptosis signaling pathway, huntington disease and parkinson disease etc. The main biological process involved included metabolic process, cellular process, biological, development process, localization, immune system process and apoptotic process etc. Conclusion The pathogenesis of sleep deprivation involves multiple genes, and investigations of these genes may provide valuable insights into the mechanism of sleep deprivation.
睡眠剥夺 / 生物信息学 / 差异表达基因 / 基因芯片 / 小鼠
Sleep deprivation / Bioinformatics / Differentially expressed genes / DNA microarray / Mouse
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国家自然科学基金;广东省领军人才基金
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