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使用带有主模板的实时PCR进行多基因定量转录谱分析。

Quantitative multi-gene transcriptional profiling using real-time PCR with a master template.

作者信息

Shih Shu-Ching, Smith Lois E H

机构信息

Pathology Department, Beth Israel Deaconess Medical Center, Harvard Medical School, 99 Brookline Avenue, Boston, MA 02215, USA.

出版信息

Exp Mol Pathol. 2005 Aug;79(1):14-22. doi: 10.1016/j.yexmp.2005.03.004.

Abstract

We previously reported a method for quantitative multi-gene transcriptional profiling with gene-specific standard curves using real-time PCR. Here, we report an approach that increases experimental throughput by using a master template to generate a single standard curve for the estimation of mRNA copy numbers from all genes. We prepared fifty-nine different templates and measured eNOS mRNA copy numbers in Matrigel VEGF-transfectant samples. The copy numbers obtained using each of the fifty-nine templates were within 50% of the copy number obtained using the previously reported method. Analysis of primer design parameters, and subsequent tests, showed that eliminating complementarities between the first nucleotides at the 5'-ends of the forward and reverse primers reduces the influence of saturation effects and produces copy numbers similar to those generated with gene-specific templates-generally, within 20%. Measurements on a panel consisting of eNOS, iNOS, and nNOS further validated the master-template approach. The master-template approach enables rapid quantification of mRNA abundances from panels of hundreds of genes, and will be a valuable tool for screening large numbers of genes as part of a search for biomarkers, the validation of DNA-microarray data, or research into the dynamics of the gene-protein network.

摘要

我们之前报道了一种使用实时定量PCR和基因特异性标准曲线进行多基因转录定量分析的方法。在此,我们报告一种通过使用主模板生成单一标准曲线来估计所有基因mRNA拷贝数,从而提高实验通量的方法。我们制备了59种不同的模板,并测量了基质胶血管内皮生长因子转染样本中的内皮型一氧化氮合酶(eNOS)mRNA拷贝数。使用这59种模板中的每一种所获得的拷贝数,与使用先前报道的方法所获得的拷贝数相差在50%以内。对引物设计参数的分析及后续测试表明,消除正向和反向引物5'-末端第一个核苷酸之间的互补性,可降低饱和效应的影响,并产生与使用基因特异性模板所产生的拷贝数相似的结果——一般相差在20%以内。对由内皮型一氧化氮合酶、诱导型一氧化氮合酶和神经元型一氧化氮合酶组成的一组样本的测量,进一步验证了主模板法。主模板法能够快速定量数百个基因的mRNA丰度,将成为筛选大量基因的宝贵工具,可用于寻找生物标志物、验证DNA微阵列数据或研究基因-蛋白质网络的动态变化。

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