Yang Shitao, Liang Peng
Department of Computing and Decision Sciences, Stillman School of Business, Seton Hall University, 400 South Orange Ave., South Orange, NJ 07079, USA.
Mol Biotechnol. 2004 Jul;27(3):197-208. doi: 10.1385/MB:27:3:197.
Differential display (DD) is one of the most commonly used approaches for identifying differentially expressed genes. However, there has been lack of an accurate guidance on how many DD polymerase chain reaction (PCR) primer combinations are needed to display most of the genes expressed in a eukaryotic cell. This study critically evaluated the gene coverage by DD as a function of the number of arbitrary primers, the number of 3' bases of an arbitrary primer required to completely match an mRNA target sequence, the additional 5' base match(s) of arbitrary primers in first-strand cDNA recognition, and the length of mRNA tails being analyzed. The resulting new DD mathematical model predicts that 80 to 160 arbitrary 13mers, when used in combinations with 3 one-base anchored oligo-dT primers, would allow any given mRNA within a eukaryotic cell to be detected with a 74% to 93% probability, respectively. The prediction was supported by both computer simulation of the DD process and experimental data from a comprehensive fluorescent DD screening for target genes of tumor-suppressor p53. Thus, this work provides a theoretical foundation upon which global analysis of gene expression by DD can be pursued.
差异显示(DD)是用于鉴定差异表达基因的最常用方法之一。然而,对于需要多少种DD聚合酶链反应(PCR)引物组合才能展示真核细胞中表达的大多数基因,一直缺乏准确的指导。本研究严格评估了作为任意引物数量、完全匹配mRNA靶序列所需任意引物3'端碱基数量、任意引物在第一链cDNA识别中的额外5'端碱基匹配以及所分析mRNA尾巴长度的函数的DD基因覆盖率。由此产生的新DD数学模型预测,当与3种单碱基锚定寡聚dT引物组合使用时,80至160种任意13聚体将分别以74%至93%的概率检测真核细胞内的任何给定mRNA。该预测得到了DD过程的计算机模拟以及针对肿瘤抑制因子p53靶基因的全面荧光DD筛选的实验数据的支持。因此,这项工作为通过DD进行基因表达的全局分析提供了理论基础。