基于GEO数据库的可卡因使用障碍潜在关键基因筛选及生物信息学验证  

Identification ofpotential core genes in cocaine use disorder:Insights from GEO database analysis and bioinformatics validation

作　　者：朱有为 王文政 苏杭 钟娜[1] 江海峰[1] 杜江[1] 赵敏[1] ZHU You-wei;WANG Wen-zheng;SU Hang;ZHONG Na;JIANG Hai-feng;DU Jiang;ZHAO Min(Mental Disorder Control and Prevention,Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,Shanghai 200030,China)

机构地区：[1]上海交通大学医学院附属精神卫生中心,上海200030

出　　处：《中国药物依赖性杂志》2022年第5期395-400,共6页Chinese Journal of Drug Dependence

基　　金：国家自然科学基金(81771436,82130041);上海市科技重大专项(2018SHZDZX05);上海市卫生健康委员会临床研究专项(20184Y0134);上海申康医院发展中心项目(SHDC2020CR3045B);上海市精神卫生中心临床研究中心项目(19MC1911100、CRC2018YB02);上海市精神卫生中心院级课题(2018-QH-02,2020-YJ-06)。

摘　　要：目的应用生物信息学方法筛选可卡因使用障碍的核心基因和信号通路。方法从基因表达综合数据库下载基因表达数据集GSE54839。应用R软件筛选差异表达基因。使用DAVID数据库进行基因富集分析。使用STRING数据库构建蛋白互作网络,使用cytoscape筛选核心基因。结果共筛选出51个差异表达基因,主要参与MAPK信号通路调控。4个核心基因ATF3,FOS,FOSB,JUN均属于转录因子基因。结论MAPK信号通路和转录因子可能在可卡因使用障碍中起到重要作用。Objective The aim of the study was to explore potential alternations of core genes and signaling pathways in cocaine use disorder(CUD)through bioinformatics analysis.Methods Gene expression dataset GSE54839 was download from the Gene Expression Omnibus(GEO)database.The R software was used for data normalization and differentially expressed genes(DEGs)screening.Based on these DEGs,functional annotation and pathway analysis were performed using the Database for Annotation,Visualization and Integrated Discovery(DAVID).Protein–protein interaction(PPI)network construction was constructed based on the Search Tool for the Retrieval of Interacting Genes(STRING)database and Cytoscape software was applied for identifying the potential core genes.Results A total of 51 DEGs were screened.These genes were mainly involved in the regulation of MAPK signaling pathway.ATF3,FOS,FOSB,and JUN were identified as core genes for CUD.They were all belonged to transcription factor genes.Conclusion MAPK signaling pathway and transcription factors may play an important role in CUD.

关 键 词：可卡因使用障碍 GEO数据库 差异表达基因 核心基因 

分 类 号：R749[医药卫生—神经病学与精神病学]