基于BRB-ArrayTools和GATHER工具对膀胱癌相关基因的挖掘及生物信息学分析  

Data-mining and Bioinformatics Analysis of Bladder Cancer-related Genes Based on BRB-Array and GATHER Tools

作　　者：李飞[1] 梁中锟[1] 荆玉明[1] 石小军[1] 陈三三[1] 万沛[1] 谭万龙[1] 

机构地区：[1]南方医科大学南方医院泌尿外科,广州510515

出　　处：《临床泌尿外科杂志》2011年第11期852-855,共4页Journal of Clinical Urology

基　　金：广东省自然科学基金(编号9151051501000030)

摘　　要：目的:从分子水平探讨膀胱癌的发病机制,为临床诊疗提供新思路。方法:从公共基因芯片数据库(GEO)中下载人膀胱癌的相关基因芯片数据,使用BRB-ArrayTools软件对其进行分析,筛选差异基因;并利用GATHER工具进行生物信息学分析。结果:BRB分析发现122个差异表达基因,其中上调55个,下调67个;GATHER分析发现这些差异基因的功能主要集中在细胞的生理过程、细菌凝聚反应的诱导作用、Jak-STAT和Toll-like受体的信号通路及细胞因子相互作用等生物学过程。结论:利用生物信息学方法能有效分析基因芯片数据并获取内在信息,为确定膀胱癌的早期诊断标志与治疗靶点提供新的思路。Objective： To explore the molecular pathogenesis of bladder cancer, and provide novel means for clinical diagnosis and treatment of this malignancy. Methods：The data of whole genomic expression profiles of bladder cancers were obtained from GEO database. Differential genes were identified by BRB-Array Tools software, then using GATHER tool for bioinformatics analysis. Results：BRB analysis results showed there were 122 differentially expressed genes in bladder cancer, 55 up-regulated and 67 down-regulated. These bladder cancerrelated genes played essential roles in such important biological processes as Cellular physiological process, Induction of bacterial agglutination,Toll-like receptor and Jak-STAT signaling pathway,cytokine-eytokine receptor interaction. Conclusions： The use of bioinformatics to analyze microarray data can found an interaction network involved. These would offer new ideas for early diagnosis and treat target of bladder cancer.

关 键 词：生物信息学 膀胱癌 基因表达谱 BRB ARRAY Tools软件 

分 类 号：R737.14[医药卫生—肿瘤]