Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Channels (Austin). 2013 May-Jun;7(3):160-70. doi: 10.4161/chan.24024. Epub 2013 Mar 19.
Real-time polymerase chain reaction (qPCR) is currently the standard for gene quantification studies and has been extensively used in large-scale basic and clinical research. The operational costs and technical errors can become a significant issue due to the large number of sample reactions. In this paper, we present an experimental design strategy and an analysis procedure that are more efficient requiring fewer sample reactions than the traditional approach. We verified mathematically and experimentally the new design on a well-characterized model, to evaluate the gene expression levels of CACNA1C and CACNA1G in hypertrophic ventricular myocytes induced by phenylephrine treatment.
实时聚合酶链反应(qPCR)目前是基因定量研究的标准方法,已广泛应用于大规模基础和临床研究中。由于需要处理大量的样本反应,其运营成本和技术误差可能成为一个重大问题。本文提出了一种比传统方法更有效的实验设计策略和分析程序,需要的样本反应数量更少。我们使用一种经过良好表征的模型对新设计进行了数学和实验验证,以评估苯肾上腺素处理诱导的肥厚心室肌细胞中 CACNA1C 和 CACNA1G 的基因表达水平。