Literature DB >> 16843498

Estimation of the reaction efficiency in polymerase chain reaction.

Nadia Lalam1.   

Abstract

Polymerase chain reaction (PCR) is largely used in molecular biology for increasing the copy number of a specific DNA fragment. The succession of 20 replication cycles makes it possible to multiply the quantity of the fragment of interest by a factor of 1 million. The PCR technique has revolutionized genomics research. Several quantification methodologies are available to determine the DNA replication efficiency of the reaction which is the probability of replication of a DNA molecule at a replication cycle. We elaborate a quantification procedure based on the exponential phase and the early saturation phase of PCR. The reaction efficiency is supposed to be constant in the exponential phase, and decreasing in the saturation phase. We propose to model the PCR amplification process by a branching process which starts as a Galton-Watson branching process followed by a size-dependent process. Using this stochastic modelling and the conditional least-squares estimation method, we infer the reaction efficiency from a single PCR trajectory.

Mesh:

Year:  2006        PMID: 16843498     DOI: 10.1016/j.jtbi.2006.06.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  12 in total

1.  A quantitative approach for polymerase chain reactions based on a hidden Markov model.

Authors:  Nadia Lalam
Journal:  J Math Biol       Date:  2008-12-05       Impact factor: 2.259

2.  A new method for quantitative real-time polymerase chain reaction data analysis.

Authors:  Xiayu Rao; Dejian Lai; Xuelin Huang
Journal:  J Comput Biol       Date:  2013-07-10       Impact factor: 1.479

3.  How to perform RT-qPCR accurately in plant species? A case study on flower colour gene expression in an azalea (Rhododendron simsii hybrids) mapping population.

Authors:  Ellen De Keyser; Laurence Desmet; Erik Van Bockstaele; Jan De Riek
Journal:  BMC Mol Biol       Date:  2013-06-24       Impact factor: 2.946

4.  Enhanced analysis of real-time PCR data by using a variable efficiency model: FPK-PCR.

Authors:  Antoon Lievens; S Van Aelst; M Van den Bulcke; E Goetghebeur
Journal:  Nucleic Acids Res       Date:  2011-11-18       Impact factor: 16.971

Review 5.  Validation of kinetics similarity in qPCR.

Authors:  Tzachi Bar; Mikael Kubista; Ales Tichopad
Journal:  Nucleic Acids Res       Date:  2011-10-19       Impact factor: 16.971

6.  Simulation of between repeat variability in real time PCR reactions.

Authors:  Antoon Lievens; Stefan Van Aelst; Marc Van den Bulcke; Els Goetghebeur
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

7.  A new real-time PCR method to overcome significant quantitative inaccuracy due to slight amplification inhibition.

Authors:  Michele Guescini; Davide Sisti; Marco B L Rocchi; Laura Stocchi; Vilberto Stocchi
Journal:  BMC Bioinformatics       Date:  2008-07-30       Impact factor: 3.169

8.  A comprehensive collection of experimentally validated primers for Polymerase Chain Reaction quantitation of murine transcript abundance.

Authors:  Athanasia Spandidos; Xiaowei Wang; Huajun Wang; Stefan Dragnev; Tara Thurber; Brian Seed
Journal:  BMC Genomics       Date:  2008-12-24       Impact factor: 3.969

9.  A kinetic-based sigmoidal model for the polymerase chain reaction and its application to high-capacity absolute quantitative real-time PCR.

Authors:  Robert G Rutledge; Don Stewart
Journal:  BMC Biotechnol       Date:  2008-05-08       Impact factor: 2.563

10.  How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments.

Authors:  David Svec; Ales Tichopad; Vendula Novosadova; Michael W Pfaffl; Mikael Kubista
Journal:  Biomol Detect Quantif       Date:  2015-03-11
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