基因芯片癌与癌旁组织分析中药品混合对结果的影响

基因芯片技术已经广泛地应用到生物科学与医学研究的多个领域中.由于实验费用的制约，在使用芯片数目较少的情况下，一些研究者倾向于把经过同一种处理的多个个体的RNA进行混合，希望能消除个体差异.但应用一个研究肿瘤的具体例子，比较单个个体与多个个体的RNA混合后得到的基因芯片的结果表明，多个样品的RNA混合后得到的结果和单个样品得到的结果，无论从正确率、假阳性、假阴性来比较，在统计学上都没有明显差异，因此：结合多个因素考虑，建议进行基因芯片分析的RNA样品不用进行混合.

Effects of Pooling RNA on the Research in the DNA Microarray Analysis of Cancer and Its Corresponding Adjacent Tissues

Mieroarray technology has been applied in a variety of biological and medical research fields. Due to the relative higher costs, some researchers are apt to pooling RNA samples extracted from different subjects onto a single microarray to defray the cost of microarray experiment. The basic assumption of pooling is that the pooling RNA can lessen the diversity between individual subjects. Employing an example in cancer research, the authors analyzed the differential expressed genes between gastric cancer tissues and its corresponding adjacent normal tissues using ten individual RNA and their pooling RNA. The results indicate that there are no significant variances between pooling and individual RNA conceming of the numbers of correct gene, false positive gene and false negative gene based on a statistical approach. So the authors suggest using RNA from individual subject instead of pooling them even if in the primary studies.