慢性痛导致抑郁的脑区基因共表达网络分析
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1.陕西师范大学生命科学学院;2.陕西中医药大学针灸推拿学院;3.陕西师范大学现代教学技术教育部重点实验室

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国家青年自然科学基金(82004489);中央高校基本科研业务费项目(GK201703073,GK202105001)


Construction and analysis of gene coexpression network for three brain regions of depression models induced by chronic pain
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1.College of Life Science, Shaanxi Normal University;2.College of Acupuncture and Massage, Shaanxi Universsity of Chinese Medicine;3.MOE Key Laboratory of Modern Teaching Technology, Shanxi Normal University

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    摘要:

    目的:使用加权基因共表达网络分析 (weighted gene coexpression network analysis, WGCNA) 研究慢性痛导致抑郁的脑区基因共表达网络,寻找与之相关的枢纽基因。方法:从基因表达数据库 (gene expression omnibus, GEO) 中下载数据集GSE91396,数据经R软件处理后,用WGCNA 构建共表达网络,识别与抑郁脑区相关性高的模块,并对模块内基因进行GO功能注释和KEGG信号通路分析,用Cytoscape 软件筛选模块内枢纽基因。结果:WGCNA分析获得了9个基因共表达模块,其中brown模块与NAc高度相关、turquoise模块与PAG高度相关、yellow模块与mPFC高度相关,分别对三个组织特异性模块的基因进行功能注释和通路富集分析,主要富集在突触结构、膜电位、离子通道、神经递质等分子功能和生物学过程;在三个模块筛选到了各自的枢纽基因(hub gene),如brown模块中的Drd1a、Pdyn、Ppp1r1b等,turquoise模块中的Cd99l2、Pcyt1a等,yellow模块的枢纽基因有Neurod6、Dlgap1、Adcy1等。结论:本研究用WGCNA方法筛选出慢性痛导致抑郁动物的三个脑区的关键模块和枢纽基因,为其机制研究提供新思路。

    Abstract:

    Objective: To identify the gene coexpression network and hub genes of 3 brain regions including NAc, PAG and mPFC in chronic pain induced mice model of depression, weighted gene coexpression network analysis (WGCNA) was processed. Methods: The RNA-seq dataset of GSE91396 was downloaded from the gene expression omnibus (GEO) database. WGCNA was used to construct the gene coexpression network, and identify the key modules associated with NAc, PAG and mPFC respectively. Gene ontology and pathway enrichment analyses were performed on the key module genes. Then, Cytoscape software was used to screen the hub genes in key modules. Results: There are 9 coexpression modules identified by WGCNA of which the brown, turquoise and yellow modules were the key module related to NAc, PAG and mPFC respectively. Module genes were mainly involved in synapse structure, membrane potential, neurotransmitter and so on. The hub genes with high connectivity were identified in 3 key modules, such as Drd1a, Pdyn and Ppp1r1b in brown module, Cd99l2 and Pcyt1a in turquoise module, and Neurod6, Dlgap1 and Adcy1 in yellow module. Conclusion: WGCNA can identify key modules and hub genes which are biologically relevant to the 3 depression associated brain regions. This study will provide a novel insight into the understanding of the depression induced by chronic pain.

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  • 收稿日期:2021-04-06
  • 最后修改日期:2021-05-08
  • 录用日期:2021-06-08
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