Random variation and concentration effects in PCR

被引:33
作者
Jagers, P
Klebaner, F
机构
[1] Chalmers Univ Technol, Sch Math Sci, S-41296 Gothenburg, Sweden
[2] Monash Univ, Sch Math Sci, Clayton, Vic 3168, Australia
基金
澳大利亚研究理事会;
关键词
branching process; varying environment; PCR; Michaelis-Menten;
D O I
10.1016/S0022-5193(03)00166-8
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 all 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). (C) 2003 Elsevier Ltd. All rights reserved.
引用
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页码:299 / 304
页数:6
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