Literature DB >> 12941588

Random variation and concentration effects in PCR.

Peter Jagers1, Fima Klebaner.   

Abstract

Even though the efficiency of the polymerase chain reaction (PCR) reaction decreases, analyses are made in terms of Galton-Watson processes, or simple deterministic models with constant replication probability (efficiency). Recently, Schnell and Mendoza have suggested that the form of the efficiency, can be derived from enzyme kinetics. This results in the sequence of molecules numbers forming a stochastic process with the properties of a branching process with population size dependence, which is supercritical, but has a mean reproduction number that approaches one. Such processes display ultimate linear growth, after an initial exponential phase, as is the case in PCR. It is also shown that the resulting stochastic process for a large Michaelis-Menten constant behaves like the deterministic sequence x(n) arising by iterations of the function f(x)=x+x/(1+x).

Mesh:

Year:  2003        PMID: 12941588     DOI: 10.1016/s0022-5193(03)00166-8

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


  11 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 minimally parametrized branching process explaining plateau phase of qPCR amplification.

Authors:  Qingyang Luo
Journal:  J Math Biol       Date:  2018-08-27       Impact factor: 2.259

3.  Sources of PCR-induced distortions in high-throughput sequencing data sets.

Authors:  Justus M Kebschull; Anthony M Zador
Journal:  Nucleic Acids Res       Date:  2015-07-17       Impact factor: 16.971

4.  Modeling qRT-PCR dynamics with application to cancer biomarker quantification.

Authors:  Inna Chervoneva; Boris Freydin; Terry Hyslop; Scott A Waldman
Journal:  Stat Methods Med Res       Date:  2017-05-14       Impact factor: 3.021

5.  Modeling bias and variation in the stochastic processes of small RNA sequencing.

Authors:  Christos Argyropoulos; Alton Etheridge; Nikita Sakhanenko; David Galas
Journal:  Nucleic Acids Res       Date:  2017-06-20       Impact factor: 16.971

6.  An Analysis of Quantitative PCR Reliability Through Replicates Using the C Method.

Authors:  Chris C Stowers; Frederick R Haselton; Erik M Boczko
Journal:  J Biomed Sci Eng       Date:  2010-05

7.  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

8.  An inter-platform repeatability study investigating real-time amplification of plasmid DNA.

Authors:  Carol E Donald; Fizza Qureshi; Malcolm J Burns; Marcia J Holden; Joseph R Blasic; Alison J Woolford
Journal:  BMC Biotechnol       Date:  2005-05-25       Impact factor: 2.563

9.  What can be observed in real time PCR and when does it show?

Authors:  Pavel Chigansky; Peter Jagers; Fima C Klebaner
Journal:  J Math Biol       Date:  2017-06-30       Impact factor: 2.259

10.  RNase H-dependent PCR enables highly specific amplification of antibody variable domains from single B-cells.

Authors:  John Crissman; Yuhao Lin; Kevin Separa; Madeleine Duquette; Michael Cohen; Candyd Velasquez; Thomas Cujec
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.