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基于R软件和数据库的生物信息学分析设计

Bioinformatics Analysis and Design Based on R-studio and Databases

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【作者】 张婕李梦婷

【Author】 ZHANG Jie;LI Mengting;School of Life Sciences,Xuzhou Medical University;

【机构】 徐州医科大学生命科学学院

【摘要】 选取NCBI基因表达谱数据库中访问号为GSE41439的基因芯片数据集为分析对象,首先利用R软件筛选差异表达基因并绘制成聚类热图,然后将差异基因上传至DAVID数据库进行GO功能与KEGG通路富集分析,接着利用STRING数据库构建蛋白质互作网络,并利用Cytoscape软件进行可视化,以直观地观察蛋白与蛋白之间的相互关系。由蛋白互作网络筛选出4个关键基因:PIK3R1、GNAS、GNAL、GNG4,可对其进行更深入的讨论。此方法适用于多种基因芯片的研究,具有很好的可推广性,将其运用于疾病相关的基因芯片,可为医学诊断与精准治疗提供一定的帮助。

【Abstract】 The gene chip data set with access number GSE41439 in NCBI gene expression profile database is selected as the analysis object.Firstly,the differential expression genes are screened by R-studio and the clustering heat map is drawn,then the differential genes are uploaded to DAVID database for GO function and KEGG pathway enrichment analysis,and then the protein interaction network is constructed by using STRING database,and can be seen by using Cytoscape software to observe the relationship between protein and protein directly.Four key genes,PIK3R1,GNAS,GNAL and GNG4,were screened out by protein interaction network,which can be further discussed.This method is suitable for the research of many kinds of gene chips,and has good generalization.It can be applied to the disease-related gene chips,which can provide some help for medical diagnosis and precise treatment.

【基金】 江苏省大学生创新创业训练计划一般项目(201910313070Y);基础医学国家级实验教学示范中心(徐州医科大学)资助项目
  • 【文献出处】 现代信息科技 ,Modern Information Technology , 编辑部邮箱 ,2020年04期
  • 【分类号】Q811.4;TP311.13;O212
  • 【被引频次】2
  • 【下载频次】419
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