结直肠癌组织特异性治疗靶点的生物信息学筛选  

Bioinformatic Mining of Tissue-specific Therapeutic Targets for Colorectal Adenocarcinoma

作　　者：尹曦[1] 叶云[2] 梁爽[1] 马文丽[1] 郑文岭[1] 

机构地区：[1]南方医科大学基因工程研究所,广州市510515 [2]广西工学院生物与化学工程系,广西壮族自治区柳州市544006

出　　处：《医学分子生物学杂志》2011年第2期152-155,共4页Journal of Medical Molecular Biology

基　　金：广东省生物芯片重点实验室基金（No.2004B60144）

摘　　要：目的 预测与筛选结直肠癌组织特异性基因,作为靶向治疗的候选靶点.方法 利用自主开发的Python语言程序分析人类正常组织与结直肠癌组织mRNA表达的组织特异性,结合人类胚胎干细胞富集基因集以及文献挖掘结果,筛选可能的与结直肠癌发生或发展相关的基因作为候选靶点,并对其进行通路分析及基因富集分析.结果 获得了结直肠癌组织特异的且与肿瘤生物学通路密切相关的4个基因,作为进一步研究的候选靶点.结论 应用生物信息学方法从芯片数据进行挖掘,可以为结直肠癌的靶向治疗提供候选靶点,并为后续的药物设计奠定基础.Objective To predict and screen colorectal adenoearcinoma specific and cancer-related genes as drug targets for targeting therapy. Methods Self-developed Python scripts were used to analyze tissue specific pattern of mRNA expression of colorectal adenocarcinoma tissue. Intersection operation of genes overexpressed in human embryonic stem cells and the result of literature mining of eolorectal adenocarcinoma was carried out. Finally, Gene ontology annotation and pathways analysis were performed. Results This study revealed 4 genes with eolorectal adenocarcinoma specificity and tumor relevance, as candidate therapeutic targets for drug development. Conclusion Our established data mining by bioinformatics may provide a new way to discover therapeutic targets for colorectal adenocarcinoma.

关 键 词：结直肠癌 组织特异性 治疗靶点 生物信息学 

分 类 号：R735.3[医药卫生—肿瘤]