Schefe Jan H, Lehmann Kerstin E, Buschmann Ivo R, Unger Thomas, Funke-Kaiser Heiko
Center for Cardiovascular Research (CCR)/Institute of Pharmacology and Toxicology, Charité-Universitätsmedizin Berlin, Hessische Strasse 3-4, 10115, Berlin, Germany.
J Mol Med (Berl). 2006 Nov;84(11):901-10. doi: 10.1007/s00109-006-0097-6. Epub 2006 Sep 14.
For quantification of gene-specific mRNA, quantitative real-time RT-PCR has become one of the most frequently used methods over the last few years. This article focuses on the issue of real-time PCR data analysis and its mathematical background, offering a general concept for efficient, fast and precise data analysis superior to the commonly used comparative CT (DeltaDeltaCT) and the standard curve method, as it considers individual amplification efficiencies for every PCR. This concept is based on a novel formula for the calculation of relative gene expression ratios, termed GED (Gene Expression's CT Difference) formula. Prerequisites for this formula, such as real-time PCR kinetics, the concept of PCR efficiency and its determination, are discussed. Additionally, this article offers some technical considerations and information on statistical analysis of real-time PCR data.
在过去几年中,对于基因特异性mRNA的定量分析,定量实时逆转录聚合酶链反应(RT-PCR)已成为最常用的方法之一。本文聚焦于实时PCR数据分析问题及其数学背景,提供了一种高效、快速且精确的数据分析通用概念,该概念优于常用的比较CT(ΔΔCT)法和标准曲线法,因为它考虑了每个PCR的个体扩增效率。这一概念基于一种用于计算相对基因表达比率的新公式,即基因表达CT差值(GED)公式。本文讨论了该公式的前提条件,如实时PCR动力学、PCR效率概念及其测定方法。此外,本文还提供了一些关于实时PCR数据统计分析的技术考量和信息。