Hellemans Jan, Mortier Geert, De Paepe Anne, Speleman Frank, Vandesompele Jo
Center for Medical Genetics, Ghent University Hospital, De Pintelaan, B-9000 Ghent, Belgium.
Genome Biol. 2007;8(2):R19. doi: 10.1186/gb-2007-8-2-r19.
Although quantitative PCR (qPCR) is becoming the method of choice for expression profiling of selected genes, accurate and straightforward processing of the raw measurements remains a major hurdle. Here we outline advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track. These models and algorithms are implemented in qBase, a free program for the management and automated analysis of qPCR data.
尽管定量聚合酶链反应(qPCR)正成为选定基因表达谱分析的首选方法,但对原始测量值进行准确且直接的处理仍然是一个主要障碍。在此,我们概述了用于相对定量和批间校准的先进且普遍适用的模型,并在整个计算过程中进行适当的误差传播。这些模型和算法在qBase中得以实现,qBase是一个用于管理和自动分析qPCR数据的免费程序。