UC活动期及恢复期差异基因的生物信息学分析  

Bioinformatics Analysis of Differential Genes in UC Active and Recovery Phases

作　　者：杨净[1] 龙世棋[2] 熊研 葛毓臻 杨香莲 罗传粉 赵元桥 朱莉[1] Yang Jing;Long Shiqi;Xiong Yan;Ge Yuzheng;Yang Xianglian;Luo Chuanfen;Zhao Yuanqiao;Zhu Li(Department of Gastroenterology,Guiyang Maternal and Child Health Hospital,Guiyang 550001;Clinical specialty of Guizhou Medical University,Guiyang 550001;Department of Immunology,Guizhou Medical University,Guiyang 550004)

机构地区：[1]贵阳市妇幼保健院儿童消化科,贵州贵阳550001 [2]贵州医科大学免疫学教研室,贵州贵阳550001 [3]贵州医科大学,贵州贵阳550004

出　　处：《贵州医药》2020年第3期339-342,共4页Guizhou Medical Journal

基　　金：贵州省教育厅青年科技人才成长项目(黔教合KY字[2017]168);贵州省大学生创新创业项目(201610660015);贵州医科大学2018年度学术新苗培养基创新探索项目(黔科合平台人才[2018]5779-16)。

摘　　要：目的对UC活动期及恢复期的差异基因进行生物信息学分析,探讨影响UC发生和发展的可能机制。方法从GEO数据库下载正常人及UC患者活动期及恢复期结直肠黏膜基因芯片数据,进行差异基因筛选、基因本体论和DEGs富集分析、构建PPI网络及解析核心关键基因。结果交叉分析显示,在UC活动期表达上调而恢复期表达下调的基因有202个;GO分析发现,差异基因在炎症反应、趋化因子介导的信号通路以及白细胞迁移等生物过程中显著富集;KEGG分析显示,差异基因显著富集在补体和凝血级联反应途径、趋化因子信号通路途径、细胞因子—细胞因子受体相互作用途径、Toll样受体信号通路等;通过Cytoscape构建PPI网络,利用cytohubba中的三种算法筛选解析到CCL2等10个核心关键基因。结论本研究初步揭示了影响UC进展的关键基因和信号通路,加深了我们对UC发生和发展的分子机制的认识,其中解析到的核心关键基因有望成为溃疡性结肠炎诊断和治疗的分子靶标。Objective Bioinformatics analysis of differential genes in UC active and recovery phases revealed possible mechanisms affecting the occurrence and development of UC.Methods The gene expression data of colorectal mucosa of active and UC patients in normal and UC patients were downloaded from the GEO database,differential gene screening,gene ontology and DEGs enrichment analysis,PPI network construction and core key genes were analyzed.Result Cross-analysis showed that there were 202 genes whose expression was up-regulated during UC activity and down-regulated during recovery.GO analysis found that differential genes were significantly enriched in inflammatory processes,chemokine-mediated signaling pathways,and leukocyte migration.KEGG analysis showed that differential genes were significantly enriched in the complement and coagulation cascade pathways,chemokine signaling pathways,cytokine-cytokine receptor interaction pathways,Toll-like receptor signaling pathways,etc.;PPI networks were constructed by Cytoscape,Using the three algorithms in cytohubba,we screened and mapped 10 core genes such as CCL2.Conclusion This study preliminarily reveals key genes and signaling pathways that influence UC progression,and deepens our understanding of the molecular mechanisms involved in the development and progression of UC.The core genes that are resolved are expected to be molecular targets for the diagnosis and treatment of ulcerative colitis.

关 键 词：溃疡性结肠炎 基因芯片 数据挖掘 生物信息学 趋化因子 

分 类 号：R574.62[医药卫生—消化系统]