Literature DB >> 9852251

Use of the recursion formula of the Gompertz function for the quantitation of PCR-amplified templates.

W Schlereth1, I D Bassukas, W Deubel, R Lorenz, K Hempel.   

Abstract

One common drawback of the currently used procedures to quantitate the polymerase chain reaction (PCR) is that the statistical evaluation of the experimental data depends on many, not just trivial, model assumptions. In the present study we report on an improvement in this crucial step of the quantitative PCR. The experimental design underlying the introduced method is exactly the same as in the case of the so-called PCR. However, by applying growth curve analysis based on the recursion formula of the Gompertz function the kinetics of the accumulation of the amplicon are estimated conjointly from data spanning both the and phases of the reaction. We demonstrate the method by determining the relative number of templates (a 206 bp segment spanning the exon 3 of the X-chromosomal murine Hprt-gene) contained in known orders of dilutions of DNA isolated from the spleen of the C57BL/6J-mouse. [32P]-dATP incorporation was used in duplicate experiments to quantify the amplicons as a function of amplification cycles. Our results: i) indicate that the accumulation of the PCR product as a function of PCR cycles follows a sigmoidal pattern compatible with the Gompertz growth model (P<0.0000001); ii) directly support the thesis that the kinetical pattern of accumulation of amplicons of a given DNA fragment does not depend on the number of corresponding DNA templates provided to the reaction; iii) permit a simple direct evaluation of the parallelity in the course of the accumulation of amplicons from different template numbers as a function of amplification cycles, which is a silent preposition in the evaluation of the so-called PCR; iv) allow an easy quantitation of the relative number of provided templates.

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Year:  1998        PMID: 9852251     DOI: 10.3892/ijmm.1.2.463

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


  4 in total

1.  Kinetic Outlier Detection (KOD) in real-time PCR.

Authors:  Tzachi Bar; Anders Ståhlberg; Anders Muszta; Mikael Kubista
Journal:  Nucleic Acids Res       Date:  2003-09-01       Impact factor: 16.971

2.  Comprehensive algorithm for quantitative real-time polymerase chain reaction.

Authors:  Sheng Zhao; Russell D Fernald
Journal:  J Comput Biol       Date:  2005-10       Impact factor: 1.479

3.  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

4.  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

  4 in total

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