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利用共表达分析鉴定与睡眠剥夺相关的枢纽基因。

Identification of hub genes correlated with sleep deprivation using co-expression analysis.

机构信息

Department of Anesthesiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.

Department of Anesthesiology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fujian Medical University, Fuzhou, 350001, Fujian, China.

出版信息

Sleep Breath. 2021 Dec;25(4):1969-1976. doi: 10.1007/s11325-021-02321-3. Epub 2021 Feb 22.

DOI:10.1007/s11325-021-02321-3
PMID:33619665
Abstract

BACKGROUND

Sleep deprivation (SD) has become a serious concern worldwide. This study aimed to identify key modules and candidate hub genes correlated with diseases caused by SD, using co-expression analysis.

METHODS

The weighted gene co-expression network analysis was performed to construct a co-expression network of hub genes correlated with SD. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to search for signaling pathways. The protein-protein interaction network analysis of central genes was performed to recognize the interactions among central genes. Molecular Complex Detection, a plugin in Cytoscape, was used to discover the hub gene clusters involved in SD.

RESULTS

A total of 564 genes in the yellow module were identified based on the results of topological overlap measure-based clustering. The yellow module showed a pivotal correlation with SD. Six hub gene clusters prominently associated with SD were identified. Heat shock protein family and circadian clock genes among them may be the hub genes involved in SD.

CONCLUSIONS

These genes and pathways might become therapeutic targets with clinical usefulness in the future.

摘要

背景

睡眠剥夺(SD)已成为全球关注的严重问题。本研究旨在通过共表达分析,确定与 SD 引起的疾病相关的关键模块和候选枢纽基因。

方法

采用加权基因共表达网络分析构建与 SD 相关的枢纽基因共表达网络。进行基因本体论和京都基因与基因组百科全书富集分析以寻找信号通路。对核心基因的蛋白质-蛋白质相互作用网络分析以识别核心基因之间的相互作用。使用 Cytoscape 中的插件 Molecular Complex Detection 发现涉及 SD 的枢纽基因簇。

结果

基于拓扑重叠度量聚类的结果,确定了黄色模块中总共 564 个基因。黄色模块与 SD 有显著的相关性。确定了六个与 SD 显著相关的枢纽基因簇。其中,热休克蛋白家族和昼夜节律基因可能是与 SD 相关的枢纽基因。

结论

这些基因和途径可能成为未来具有临床应用价值的治疗靶点。

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