betway必威登陆网址 (betway.com )学报››2021,Vol. 42››Issue (7): 508-515.DOI:10.3969/j.issn.2097-0005.2021.07.007

• 临床研究 •上一篇下一篇

颞叶癫痫差异发作频率相关生物通路及蛋白-蛋白相互作用网络分析

吕玉芹1, 高蕾2, 徐雯1, 戚孟琪1, 张敬军1()

  1. 1.betway必威登陆网址 (betway.com ),临床医学院,山东 泰安 271016
    2.betway必威登陆网址 (betway.com ),生命科学学院,山东 泰安 271016
  • 收稿日期:2021-01-08出版日期:2021-07-25发布日期:2021-09-14
  • 通讯作者:张敬军
  • 作者简介:吕玉芹,硕士研究生,主要从事癫痫发病机制研究
    高蕾,博士研究生,讲师,主要从事神经精神系统疾病生物信息学研究。第一联系人:吕玉芹和高蕾为共同第一作者。
  • 基金资助:
    山东省医药卫生科技发展计划(2019WS391);betway必威登陆网址 学术提升计划(2019QL013);国家自然科学基金(32000477);山东省高校自然科学基金(J15LL07);泰安市科技局计划(2017NS0248)

Analysis of biological pathways and PPI network related to the differential seizure frequency of temporal lobe epilepsy

Yuqin Lv1, Lei Gao2, Wen Xu1, Menqi Qi1, Jingjun Zhang1()

  1. 1.School of Clinical Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences,Taian 271016,China
    2.College of Life Sciences, Shandong First Medical University & Shandong Academy of Medical Sciences,Taian 271016,China
  • Received:2021-01-08Online:2021-07-25Published:2021-09-14
  • Contact:Jingjun Zhang

摘要: 目的

通过颞叶癫痫差异发作频率转录组测序数据的分析,寻找与颞叶癫痫差异发作频率有关的关键功能基因及分子学机制。

方法

从GEO数据库下载颞叶癫痫不同发作频率转录组测序数据GSE127871,使用R语言DESeq2包进行差异基因表达分析;使用R语言clusterProfiler包对差异基因进行基因本体论及京都基因和基因组百科全书通路富集分析;使用STRING数据库对差异基因进行蛋白质相互作用网络分析;使用Cytoscape软件从蛋白质层面筛选关键基因。

结果

通过转录组数据进行差异基因表达分析,总共有820个差异表达,其中上调基因332个,下调基因488个;差异表达基因基因本体论生物学过程显著富集在膜电位调节、化学性突触及离子跨膜转导调控、神经递质水平调节等;差异基因基因本体论细胞组分显著富集在突触、神经胞体、跨膜转导复合体等;基因本体论分子学功能显著富集在跨膜转导正向激活、离子通道及门控通道激活等;京都基因和基因组百科全书通路分析显著富集在神经激活配体-受体作用、胆碱能突触、NF-kappaB信号通路等。通过蛋白质互相作用网络分析及枢纽基因筛选,其中ADCY1、MCHR1、CXCL8、CXCL1、CXCL2、CXCL3基因为重要的枢纽基因。

结论

颞叶癫痫差异发作频率转录组差异表达基因分子学机制主要与突触结构内化学性及离子通道活动改变相关,ADCY1、MCHR1、CXCL8、CXCL1、CXCL2、CXCL3等基因为不同发作频率颞叶癫痫关键的枢纽基因。

关键词:颞叶癫痫,转录组,生物信息学,CXCL8,ADCY1,MCHR1

Abstract: Objective

To find out key functional genes and molecular mechanisms related to the differential seizure frequency of temporal lobe epilepsy.

Methods

Different seizure frequency epilepsy transcriptome sequencing data GSE127871 were downloaded from GEO database, R language DESeq2 package was used for differential gene expression analysis,clusterProfiler package for Gene Ontology and Kyoto Gene and Genome Encyclopedia pathway enrichment analysis; STRING database was used to analyze the protein interaction network of differential genes; Cytoscape was used to screen key genes from the protein level.

Results

A total of 820 differentially expressed genes were analyzed through transcriptome data, including 332 up-regulated genes and 488 down-regulated genes. The biological processes of differentially expressed genes Gene Ontology were significantly enriched in membrane potential regulation and chemical and ion channel regulation of transmembrane transduction, neurotransmitter level regulation, etc; differential expressed gene Gene Ontology cell components were significantly enriched in synapses, neurosomal bodies, transmembrane transduction complexes, etc; Gene Ontology molecular functions were significantly enriched on positive activation of transmembrane transduction, activation of ion channels and gated channels, etc; KEGG pathway analysis was significantly enriched in neural activation ligand-receptor interaction, cholinergic synapses, and NF-kappaB signaling pathway etc. Protein interaction network analysis and hub gene screening showed that ADCY1, MCHR1, CXCL8, CXCL1, CXCL2 and CXCL3 genes were important hub genes;

Conclusion

The molecular mechanism of differentially expressed genes in temporal lobe epilepsy transcriptome with different seizure frequencies is mainly related to signal transduction of chemical neurotransmitters and ion channels between synapses . Studies have confirmed that ADCY1, MCHR1, CXCL8, CXCL1, CXCL2, CXCL3 and other genes are the key hub genes for temporal lobe epilepsy with different seizure frequencies.

Key words:temporal lobe epilepsy,transcriptome,bioinformatics,CXCL8,ADCY1,MCHR1

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