Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data
University of Amsterdam · Maastricht University · +2 more institutions
Abstract
Despite the central role of quantitative PCR (qPCR) in the quantification of mRNA transcripts, most analyses of qPCR data are still delegated to the software that comes with the qPCR apparatus. This is especially true for the handling of the fluorescence baseline. This article shows that baseline estimation errors are directly reflected in the observed PCR efficiency values and are thus propagated exponentially in the estimated starting concentrations as well as 'fold-difference' results. Because of the unknown origin and kinetics of the baseline fluorescence, the fluorescence values monitored in the initial cycles of the PCR reaction cannot be used to estimate a useful baseline value. An algorithm that…
Citation impact
- FWCI
- 46.81
- Percentile
- 100%
- References
- 33
Authors
7- JMJan M. RuijterCorresponding
University of Amsterdam
- CRChristian Ramakers
Maastricht University
- WMWillem M.H. Hoogaars
Maastricht University, University of Amsterdam, Academic Medical Center
- YKYann Karlen
Maastricht University, Nestlé (Switzerland)
- OBOnno Bakker
University of Amsterdam, Maastricht University, Academic Medical Center
Topics & keywords
- Biology
- Amplicon
- Baseline (sea)
- Real-time polymerase chain reaction
- Sample (material)
- Statistics
- Linear regression
- Polymerase chain reaction
- Affordable and clean energy