Literature DB >> 15335216

Potential influence of the first PCR cycles in real-time comparative gene quantifications.

Hege Karin Nogva1, Knut Rudi.   

Abstract

There is an underlying assumption in real-time PCR that the amplification efficiency is equal from the first cycles until a signal can be detected. In this study, we evaluated this assumption by analyzing genes with known gene copy number using real-time PCR comparative gene quantifications. Listeria monocytogenes has six 23S rRNA gene copies and one copy of the hlyA gene. We determined 23S rRNA gene copy numbers between 0.9 and 1.6 relative to hlyA when applying the comparative gene quantification approach. This paper focuses on the first cycles of PCR to explain the difference between known and determined gene copy numbers. Both theoretical and experimental evaluations were done. There are three different products (types 1-3) dominating in the first cycles. Type 1 is the original target, type 2 are undefined long products, while type 3 are products that accumulate during PCR. We evaluated the effects of type 1 and 2 products during the first cycles by cutting the target DNA with a restriction enzyme that cuts outside the boundaries of the PCR products. The digestion resulted in a presumed increased amplification efficiency for type 1 and 2 products. Differences in the amplification efficiencies between type 1, 2, and 3 products may explain part of the error in the gene copy number determinations using real-time PCR comparative gene quantifications. Future applications of real-time PCR quantifications should account for the effect of the first few PCR cycles on the conclusions drawn.

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Year:  2004        PMID: 15335216     DOI: 10.2144/04372RR01

Source DB:  PubMed          Journal:  Biotechniques        ISSN: 0736-6205            Impact factor:   1.993


  9 in total

1.  Detection and measurement of fungal burden in a guinea pig model of invasive pulmonary aspergillosis by novel quantitative nested real-time PCR compared with galactomannan and (1,3)-β-D-glucan detection.

Authors:  Martina Lengerova; Iva Kocmanova; Zdenek Racil; Kristyna Hrncirova; Sarka Pospisilova; Jiri Mayer; Laura K Najvar; Nathan P Wiederhold; William R Kirkpatrick; Thomas F Patterson
Journal:  J Clin Microbiol       Date:  2011-12-21       Impact factor: 5.948

2.  Enhancement of PCR Detection Limit by Single-Tube Restriction Endonuclease-PCR (RE-PCR).

Authors:  Sibnarayan Datta; Raghvendra Budhauliya; Soumya Chatterjee; Vijay Veer; Runu Chakravarty
Journal:  Mol Diagn Ther       Date:  2016-06       Impact factor: 4.074

3.  DNA damage reduces Taq DNA polymerase fidelity and PCR amplification efficiency.

Authors:  Jan A Sikorsky; Donald A Primerano; Terry W Fenger; James Denvir
Journal:  Biochem Biophys Res Commun       Date:  2007-02-07       Impact factor: 3.575

4.  Serious overestimation in quantitative PCR by circular (supercoiled) plasmid standard: microalgal pcna as the model gene.

Authors:  Yubo Hou; Huan Zhang; Lilibeth Miranda; Senjie Lin
Journal:  PLoS One       Date:  2010-03-05       Impact factor: 3.240

5.  Quantification bias caused by plasmid DNA conformation in quantitative real-time PCR assay.

Authors:  Chih-Hui Lin; Yu-Chieh Chen; Tzu-Ming Pan
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

Review 6.  Multi-template polymerase chain reaction.

Authors:  Elena Kalle; Mikael Kubista; Christopher Rensing
Journal:  Biomol Detect Quantif       Date:  2014-12-04

7.  Amplification of nonspecific products in quantitative polymerase chain reactions (qPCR).

Authors:  Adrián Ruiz-Villalba; Elizabeth van Pelt-Verkuil; Quinn D Gunst; Jan M Ruijter; Maurice Jb van den Hoff
Journal:  Biomol Detect Quantif       Date:  2017-11-01

8.  PCR-Stop analysis as a new tool for qPCR assay validation.

Authors:  Anna Kristina Witte; Patrick Mester; Susanne Fister; Beate Süß; Martin Wagner; Peter Rossmanith
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

9.  Dual coding potential of a 2',5'-branched ribonucleotide in DNA.

Authors:  Jessica Döring; Thomas Hurek
Journal:  RNA       Date:  2018-10-25       Impact factor: 4.942

  9 in total

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