Literature DB >> 8862813

Quantitative RT-PCR: limits and accuracy.

F Souazé1, A Ntodou-Thomé, C Y Tran, W Rostène, P Forgez.   

Abstract

In this paper we determine the limits and accuracy of quantitative reverse transcription (RT)-PCR using a modification of the original protocol. The quantification of mRNA with this procedure requires a preliminary estimation of the target molecule (TM) concentration, established from experiments with an internal control molecule (ICM). A definitive quantification is then attained from serial dilutions of the reverse transcription reaction. The success of this latter step is dependent on maintaining an equivalent number of TM and ICM in the reaction. The purpose of our study was to evaluate the influence of the deviation between the TM and the ICM on the result. We show here that we can control the accuracy of the assay by fixing the limit of the TM/ICM ratio. Indeed, when the TM/ICM ratio is between 0.66 and 1.5 (i.e., the difference between TM and ICM is 1.5-fold), the final result has an error of approximately 10%. Exceeding this limit produces errors approaching 60%, as in the case of TM/ICM = 2. When the above conditions are respected, a difference as small as 20% between two samples can be determined with an accuracy of 95%.

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Year:  1996        PMID: 8862813     DOI: 10.2144/96212rr01

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


  36 in total

1.  A new mathematical model for relative quantification in real-time RT-PCR.

Authors:  M W Pfaffl
Journal:  Nucleic Acids Res       Date:  2001-05-01       Impact factor: 16.971

2.  A flexible bioluminescent-quantitative polymerase chain reaction assay for analysis of competitive PCR amplicons.

Authors:  J K Actor; J R Limor; R L Hunter
Journal:  J Clin Lab Anal       Date:  1999       Impact factor: 2.352

3.  Quantitative competitive reverse transcription-PCR for quantification of dengue virus RNA.

Authors:  W K Wang; C N Lee; C L Kao; Y L Lin; C C King
Journal:  J Clin Microbiol       Date:  2000-09       Impact factor: 5.948

4.  Applications of competitor RNA in diagnostic reverse transcription-PCR.

Authors:  Steven B Kleiboeker
Journal:  J Clin Microbiol       Date:  2003-05       Impact factor: 5.948

5.  Rapid quantification of drug resistance gene expression in Candida albicans by reverse transcriptase LightCycler PCR and fluorescent probe hybridization.

Authors:  Joao P Frade; David W Warnock; Beth A Arthington-Skaggs
Journal:  J Clin Microbiol       Date:  2004-05       Impact factor: 5.948

Review 6.  Detection and quantification of gene expression in environmental bacteriology.

Authors:  Freddie H Sharkey; Ibrahim M Banat; Roger Marchant
Journal:  Appl Environ Microbiol       Date:  2004-07       Impact factor: 4.792

7.  Analysis of gene expression in pathophysiological states: balancing false discovery and false negative rates.

Authors:  Andrew W Norris; C Ronald Kahn
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-09       Impact factor: 11.205

8.  Transcript abundance in mouse pituitaries with altered growth hormone expression quantified by reverse transcriptase polymerase chain reaction implicates transcription factor Zn-16 in gene regulation in vivo.

Authors:  Patrick W Wojtkiewicz; Carol J Phelps; David L Hurley
Journal:  Endocrine       Date:  2002-06       Impact factor: 3.633

Review 9.  Regulation of serum amyloid A protein expression during the acute-phase response.

Authors:  L E Jensen; A S Whitehead
Journal:  Biochem J       Date:  1998-09-15       Impact factor: 3.857

10.  Regulation of phytoene desaturase expression is independent of leaf pigment content in Arabidopsis thaliana.

Authors:  C M Wetzel; S R Rodermel
Journal:  Plant Mol Biol       Date:  1998-08       Impact factor: 4.076

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