生物信息学方法大规模筛选肿瘤差异表达基因

In silico identification of cancer genes by high throughput analyses

目的利用数据库中已有的基因信息快速筛选鉴定出潜在的肿瘤相关基因。方法利用EST数据库中的基因信息,采用数字化差异显示(DDD)方法,对17种不同肿瘤组织的全基因组进行筛选。结果获得了130个上调基因和159个下调基因,大多为编码细胞骨架蛋白、核糖体亚单位的基因以及与物质代谢、细胞周期、信号传导、调节转录和翻译过程有密切关系的基因。这些基因在12号染色体上出现频率最高,而在21号和Y染色体上很少出现。结论生物信息学筛选是一种快速有效的筛选方法。本实验所得结果对今后肿瘤标志物的鉴定奠定了基础,也为肿瘤标志物的筛选策略提供了新的思路。

Objective databases publicly available To identify potential candidate genes related to the cancerous phenotype by analyzing Methods Using a data-mining tool called Digital Differential Display （DDD） from the Cancer Gene Anatomy Project database, ESTs from 17 different tumor types were analyzed for differential expression. Results We obtained 130 up-regulated and 159 down-regulated genes, most of which are related to cytoskeleton, ribosomal subunit, substance metabolism, cell cycle, signal conduction, transcription and translation. These genes appear most frequently on chromosome 12 but rarely on chromosome 21 and Y. Conclusion In silico identification is a high-throughput screening strategy. Our study may lay a foundation for identification of future caner markers and provide a new thought for screening strategy of cancer markers.