基于基因表达谱和生物网络识别肺癌敏感基因  

Identifying the sensitive gene based on the gene expression files and biological network

作　　者：陈传庚[1] 段斌[1] 廖高明 闻懿 常志强[1] 

机构地区：[1]哈尔滨医科大学生物信息科学与技术学院,150081

出　　处：《国际遗传学杂志》2015年第1期24-28,共5页International Journal of Genetics

基　　金：哈尔滨医科大学科技创新训练项目（201310226037）

摘　　要：目的解析肺癌敏感基因和基因问异常关系。方法通过比较肺癌样本和对照样本，寻找肺癌细胞中出现的差异表达的基因和差异共表达基因对，将差异表达基因映射到差异共表达网络中，运用网络中节点重要性的度、脆弱性、介数和接近中心性进行排序，筛选肺癌敏感基因。结果共挖掘得到15个具有重要作用的肺癌相关基因，其中有13个基因在肺癌表达谱中存在差异表达。另外，基因CCL19和TNFSF13B虽然不存在表达差异性，但是它们的微小改变能够直接影响着其他基因的显著改变。结论本文在差异表达和共表达研究基础上挖掘得到的新基因对于肺癌机制研究是重要的补充，而且发现了某些基因的微小改变可引起其他基因表达异常，这为进一步了解肺癌发生发展机制奠定了基础。Objective Discover the sensitive genes of lung cancer and their relationships. Methods Searching the genes with differential expression and gene pairs with differential co - expression in lung cancer, through comparing the samples of lung cancer and control, then we mapped the genes into differential co-expressed networks, sorted the important node with degree, betweenness, vulnerability and closeness centrality respectively, and sorted the genes with the sum of these four characters to filter the sensitive genes. Results 15 important lung associated genes were found in lung cancer, including 13 differential expressed genes. We also found that the expression of CCL19 and TNFSF13B could significantly decrease of expression of other genes even though they were not included in the list of differential expression genes. Conclusion These genes mined by this research provided an important supplementary to the etiology of lung cancer.

关 键 词：差异共表达 差异表达 易感基因 

分 类 号：R734.2[医药卫生—肿瘤]