Literature DB >> 16882221

Evaluation of real-time PCR amplification efficiencies to detect PCR inhibitors.

Elias J Kontanis1, Floyd A Reed.   

Abstract

Real-time PCR analysis is a sensitive template DNA quantitation strategy that has recently gained considerable attention in the forensic community. However, the utility of real-time PCR methods extends beyond quantitation and allows for simultaneous evaluation of template DNA extraction quality. This study presents a computational method that allows analysts to identify problematic samples with statistical reliability by comparing the amplification efficiencies of unknown template DNA samples with clean standards. In this study, assays with varying concentrations of tannic acid are used to evaluate and adjust sample-specific amplification efficiency calculation methods in order to optimize their inhibitor detection capabilities. Kinetic outlier detection and prediction boundaries are calculated to identify amplification efficiency outliers. Sample-specific amplification efficiencies calculated over a four-cycle interval starting at the threshold cycle can be used to detect reliably the presence of 0.4 ng of tannic acid in a 25 microL PCR reaction. This approach provides analysts with a precise measure of inhibition severity when template samples are compromised. Early detection of problematic samples allows analysts the opportunity to consider inhibitor mitigation strategies prior to genotype or DNA sequence analysis, thereby facilitating sample processing in high-throughput forensic operations.

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Year:  2006        PMID: 16882221     DOI: 10.1111/j.1556-4029.2006.00182.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  35 in total

1.  PCR inhibitor levels in concentrates of biosolid samples predicted by a new method based on excitation-emission matrix spectroscopy.

Authors:  Channah Rock; Absar Alum; Morteza Abbaszadegan
Journal:  Appl Environ Microbiol       Date:  2010-10-22       Impact factor: 4.792

2.  Checklist for optimization and validation of real-time PCR assays.

Authors:  Marijke Raymaekers; Rita Smets; Brigitte Maes; Reinoud Cartuyvels
Journal:  J Clin Lab Anal       Date:  2009       Impact factor: 2.352

3.  Real-Time PCR: Revolutionizing Detection and Expression Analysis of Genes.

Authors:  Sa Deepak; Kr Kottapalli; R Rakwal; G Oros; Ks Rangappa; H Iwahashi; Y Masuo; Gk Agrawal
Journal:  Curr Genomics       Date:  2007-06       Impact factor: 2.236

4.  Assessment of bias associated with incomplete extraction of microbial DNA from soil.

Authors:  Larry M Feinstein; Woo Jun Sul; Christopher B Blackwood
Journal:  Appl Environ Microbiol       Date:  2009-06-26       Impact factor: 4.792

5.  Are basidiomycete laccase gene abundance and composition related to reduced lignolytic activity under elevated atmospheric NO3(-) deposition in a northern hardwood forest?

Authors:  John E Hassett; Donald R Zak; Christopher B Blackwood; Kurt S Pregitzer
Journal:  Microb Ecol       Date:  2008-09-13       Impact factor: 4.552

6.  An instrument for automated purification of nucleic acids from contaminated forensic samples.

Authors:  David J Broemeling; Joel Pel; Dylan C Gunn; Laura Mai; Jason D Thompson; Hiron Poon; Andre Marziali
Journal:  JALA Charlottesv Va       Date:  2008-02

7.  Selection of reference genes for expression studies with fish myogenic cell cultures.

Authors:  Neil I Bower; Ian A Johnston
Journal:  BMC Mol Biol       Date:  2009-08-10       Impact factor: 2.946

8.  Shape based kinetic outlier detection in real-time PCR.

Authors:  Davide Sisti; Michele Guescini; Marco B L Rocchi; Pasquale Tibollo; Mario D'Atri; Vilberto Stocchi
Journal:  BMC Bioinformatics       Date:  2010-04-12       Impact factor: 3.169

9.  Factors affecting the STR amplification success in poorly preserved bone samples.

Authors:  Mikko T Putkonen; Jukka U Palo; Jose M Cano; Minttu Hedman; Antti Sajantila
Journal:  Investig Genet       Date:  2010-10-04

10.  Amplification efficiency: linking baseline and bias in the analysis of quantitative PCR data.

Authors:  J M Ruijter; C Ramakers; W M H Hoogaars; Y Karlen; O Bakker; M J B van den Hoff; A F M Moorman
Journal:  Nucleic Acids Res       Date:  2009-02-22       Impact factor: 16.971

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