Literature DB >> 15331581

Pitfalls of quantitative real-time reverse-transcription polymerase chain reaction.

Stephen A Bustin1, Tania Nolan.   

Abstract

Polymerase chain reaction (PCR)-based assays can target either DNA (the genome) or RNA (the transcriptome). Targeting the genome generates robust data that are informative and, most importantly, generally applicable. This is because the information contained within the genome is context-independent; i.e., generally, every normal cell contains the same DNA sequence--the same mutations and polymorphisms. The transcriptome, on the other hand, is context-dependent; i.e., the mRNA complement and level varies with physiology, pathology, or development. This makes the information contained within the transcriptome intrinsically flexible and variable. If this variability is combined with the technical limitations inherent in any reverse-transcription (RT)-PCR assay, it can be difficult to achieve not just a technically accurate but a biologically relevant result. Template quality, operator variability, the RT step itself, and subjectivity in data analysis and reporting are just a few technical aspects that make real-time RT-PCR appear to be a fragile assay that makes accurate data interpretation difficult. There can be little doubt that in the future, transcriptome-based analysis will become a routine technique. However, for the time being it remains a research tool, and it is important to recognize the considerable pitfalls associated with transcriptome analysis, with the successful application of RTPCR depending on careful experimental design, application, and validation. Copyright 2004 ABRF

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Year:  2004        PMID: 15331581      PMCID: PMC2291693     

Source DB:  PubMed          Journal:  J Biomol Tech        ISSN: 1524-0215


  31 in total

1.  Effect of storage of blood samples on DNA yield, quality and fingerprinting: a forensic approach.

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Journal:  Indian J Exp Biol       Date:  1996-04       Impact factor: 0.818

2.  Polymerase chain reaction (PCR) detection of Listeria monocytogenes in diluted milk and reversal of PCR inhibition caused by calcium ions.

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Journal:  Lett Appl Microbiol       Date:  1996-02       Impact factor: 2.858

3.  Myoglobin as a polymerase chain reaction (PCR) inhibitor: a limitation for PCR from skeletal muscle tissue avoided by the use of Thermus thermophilus polymerase.

Authors:  L Bélec; J Authier; M C Eliezer-Vanerot; C Piédouillet; A S Mohamed; R K Gherardi
Journal:  Muscle Nerve       Date:  1998-08       Impact factor: 3.217

4.  Differential priming of RNA templates during cDNA synthesis markedly affects both accuracy and reproducibility of quantitative competitive reverse-transcriptase PCR.

Authors:  J Zhang; C D Byrne
Journal:  Biochem J       Date:  1999-01-15       Impact factor: 3.857

5.  Product differentiation by analysis of DNA melting curves during the polymerase chain reaction.

Authors:  K M Ririe; R P Rasmussen; C T Wittwer
Journal:  Anal Biochem       Date:  1997-02-15       Impact factor: 3.365

6.  Identification and characterization of immunoglobulin G in blood as a major inhibitor of diagnostic PCR.

Authors:  W A Al-Soud; L J Jönsson; P Râdström
Journal:  J Clin Microbiol       Date:  2000-01       Impact factor: 5.948

7.  In situ isolation of mRNA from individual plant cells: creation of cell-specific cDNA libraries.

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Journal:  Proc Natl Acad Sci U S A       Date:  1995-04-25       Impact factor: 11.205

8.  Acyclovir triphosphate inhibits the diagnostic polymerase chain reaction for cytomegalovirus.

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Journal:  Transplantation       Date:  1996-07-27       Impact factor: 4.939

9.  DNA recovery from soils of diverse composition.

Authors:  J Zhou; M A Bruns; J M Tiedje
Journal:  Appl Environ Microbiol       Date:  1996-02       Impact factor: 4.792

10.  Homogeneous quantitative assay of hepatitis C virus RNA by polymerase chain reaction in the presence of a fluorescent intercalater.

Authors:  T Ishiguro; J Saitoh; H Yawata; H Yamagishi; S Iwasaki; Y Mitoma
Journal:  Anal Biochem       Date:  1995-08-10       Impact factor: 3.365

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  328 in total

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2.  Suitable reference genes for relative quantification of miRNA expression in prostate cancer.

Authors:  Annika Schaefer; Monika Jung; Kurt Miller; Michael Lein; Glen Kristiansen; Andreas Erbersdobler; Klaus Jung
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3.  On the possible role of tRNA base modifications in the evolution of codon usage: queuosine and Drosophila.

Authors:  Ylenia Chiari; Kirstin Dion; James Colborn; Aristeidis Parmakelis; Jeffrey R Powell
Journal:  J Mol Evol       Date:  2010-03-24       Impact factor: 2.395

4.  Candidate genes and their regulatory elements: alcohol preference and tolerance.

Authors:  Laura Saba; Sanjiv V Bhave; Nicholas Grahame; Paula Bice; Razvan Lapadat; John Belknap; Paula L Hoffman; Boris Tabakoff
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

5.  Armored RNA as virus surrogate in a real-time reverse transcriptase PCR assay proficiency panel.

Authors:  S K Hietala; B M Crossley
Journal:  J Clin Microbiol       Date:  2006-01       Impact factor: 5.948

Review 6.  Quantitative real-time RT-PCR data analysis: current concepts and the novel "gene expression's CT difference" formula.

Authors:  Jan H Schefe; Kerstin E Lehmann; Ivo R Buschmann; Thomas Unger; Heiko Funke-Kaiser
Journal:  J Mol Med (Berl)       Date:  2006-09-14       Impact factor: 4.599

7.  Addressing fluorogenic real-time qPCR inhibition using the novel custom Excel file system 'FocusField2-6GallupqPCRSet-upTool-001' to attain consistently high fidelity qPCR reactions.

Authors:  Jack M Gallup; Mark R Ackermann
Journal:  Biol Proced Online       Date:  2006-09-15       Impact factor: 3.244

8.  Deconvolution of nucleic-acid length distributions: a gel electrophoresis analysis tool and applications.

Authors:  Riccardo Ziraldo; Massa J Shoura; Andrew Z Fire; Stephen D Levene
Journal:  Nucleic Acids Res       Date:  2019-09-19       Impact factor: 16.971

9.  Selection of internal reference genes for normalization of quantitative reverse transcription polymerase chain reaction (qRT-PCR) analysis in the canine brain and other organs.

Authors:  Sang-Je Park; Jae-Won Huh; Young-Hyun Kim; Sang-Rae Lee; Sang-Hyun Kim; Sun-Uk Kim; Heui-Soo Kim; Min Kyu Kim; Kyu-Tae Chang
Journal:  Mol Biotechnol       Date:  2013-05       Impact factor: 2.695

10.  RNA Purity, Real-Time PCR Sensitivity, and Colon Segment Influence mRNA Relative Expression in Murine Dextran Sodium Sulfate Experimental Colitis.

Authors:  Bernardo Oldak; Mayra Cruz-Rivera; Ana Flisser; Fela Mendlovic
Journal:  J Biomol Tech       Date:  2018-07-13
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