联合多种高通量表达谱数据库挖掘胃癌S100基因的差异表达  

In silico analysis of S100 gene expression in gastric cancer

作　　者：刘骥[1] 李雪[1] 李纪鹏[2] 王为忠[2] 

机构地区：[1]中国人民解放军空军杭州航空医学鉴定训练中心,浙江省杭州市310013 [2]中国人民解放军第四军医大学西京消化病医院消化三科,陕西省西安市710032

出　　处：《世界华人消化杂志》2015年第14期2208-2214,共7页World Chinese Journal of Digestology

摘　　要：目的:探讨利用生物信息学方法筛选胃癌组织与正常胃组织差异表达基因的可行性及具体方法,寻找胃癌相关S100基因.方法:联合SAGE分析、虚拟电子杂交和虚拟微阵列,挖掘癌基因组解剖计划和基因表达综合数据库资源中关于胃癌和正常胃组织差异表达S100基因.结果:5个S100基因在胃癌组织中上调表达,包括S100A2、S100A3、S100A4、S100A7和S100A10.S100A3是新的胃癌过表达基因.结论:首次探讨性利用生物信息学方法系统分析胃癌S100基因表达.多个S100家族成员在胃癌中上调表达.联合多数据库挖掘肿瘤相关基因是一个可靠的方法,给进一步生物学实验以大量的提示.AIM： To explore the feasibility and strategy of in silico identification of human gastric cancerrelated S100 genes.METHODS： By combining series analysisof gene expression, virtual Northern blot and microarray data, the expression levels of S100 family members in normal and malignant stomach tissues were systematically investigated through CGAP and GEO.RESULTS： At least 5 S100 genes were found to be upregulated in gastric cancer by in silico analysis. Among them, four genes, including S100A2, S100A4, S100A7 and S100A10, were reported to be overexpressed in gastric cancer.CONCLUSION： To our knowledge this is the first report of systematic evaluation of S100 gene expression in gastric cancer by in silico analysis. The results indicated that overexpression of S100 gene family members is a characteristic of gastric cancer. Reasonable use of public databases by the internet-available tools is a simple, effective approach to identify cancer-related genes, and might provide useful clues to further investigation although the results require experimental validation.

关 键 词：胃癌 S100 生物信息学 基因表达系列分析 表达系列标签 微阵列 基因表达综合数据库 癌症基因组解剖计划 

分 类 号：R735.2[医药卫生—肿瘤]