医学分子生物学杂志2011，Vol.8Issue(2)：152-155,4.DOI:10.3870/j.issn.1672-8009.2011.02.013
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
摘要
Abstract
Objective To predict and screen colorectal adenocarcinoma 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 colorectal adenocarcinoma was carried out. Finally, Gene ontology annotation and pathways analysis were performed. Results This study revealed 4 genes with colorectal 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
医药卫生引用本文复制引用
尹曦,叶云,梁爽,马文丽,郑文岭..结直肠癌组织特异性治疗靶点的生物信息学筛选[J].医学分子生物学杂志,2011,8(2):152-155,4.基金项目
广东省生物芯片重点实验室基金(No.2004B60144) （No.2004B60144）
