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全球互补DNA扩增结合实时逆转录聚合酶链反应:单细胞水平上对多个人类钾通道基因的准确定量。

Global cDNA amplification combined with real-time RT-PCR: accurate quantification of multiple human potassium channel genes at the single cell level.

作者信息

Al-Taher A, Bashein A, Nolan T, Hollingsworth M, Brady G

机构信息

School of Biological Sciences, G.38 Stopford Building, University of Manchester, Oxford Road, Manchester M13 9PT, UK.

出版信息

Yeast. 2000 Sep 30;17(3):201-10. doi: 10.1002/1097-0061(20000930)17:3<201::AID-YEA30>3.0.CO;2-R.

Abstract

We have developed a sensitive quantitative RT-PCR procedure suitable for the analysis of small samples, including single cells, and have used it to measure levels of potassium channel mRNAs in a panel of human tissues and small numbers of cells grown in culture. The method involves an initial global amplification of cDNA derived from all added polyadenylated mRNA followed by quantitative RT-PCR of individual genes using specific primers. In order to facilitate rapid and accurate processing of samples, we have adapted the approach to allow use of TaqMan real-time quantitative PCR. We demonstrate that the approach represents a major improvement over existing conventional and real-time quantitative PCR approaches, since it can be applied to samples equivalent to a single cell, is able to accurately measure expression levels equivalent to less than 1/100th copy/cell (one specific cDNA molecule present amongst 10(8) total cDNA molecules). Furthermore, since the initial step involves a global amplification of all expressed genes, a permanent cDNA archive is generated from each sample, which can be regenerated indefinitely for further expression analysis.

摘要

我们开发了一种灵敏的定量逆转录聚合酶链反应(RT-PCR)方法,适用于分析包括单细胞在内的小样本,并已用它来测量一组人体组织以及培养的少量细胞中钾通道信使核糖核酸(mRNA)的水平。该方法包括首先对所有添加的多聚腺苷酸化mRNA衍生的互补DNA(cDNA)进行全局扩增,然后使用特异性引物对单个基因进行定量RT-PCR。为便于快速准确地处理样本,我们对该方法进行了改进,以允许使用TaqMan实时定量PCR。我们证明,该方法相对于现有的传统定量PCR方法和实时定量PCR方法有重大改进,因为它可应用于等同于单个细胞的样本,能够准确测量等同于少于1/100拷贝/细胞(在10⁸个总cDNA分子中存在一个特定的cDNA分子)的表达水平。此外,由于初始步骤涉及对所有表达基因进行全局扩增,每个样本都会生成一个永久性的cDNA存档,该存档可无限期再生以进行进一步的表达分析。

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