Literature DB >> 9882620

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

J Zhang1, C D Byrne.   

Abstract

Quantitative competitive reverse-transcriptase PCR is the most sensitive method for studying gene expression. To investigate whether the accuracy of the calculated target mRNA copy number is affected by the cDNA priming process, we utilized primers of different lengths, concentrations and primer sequences to prime cDNA synthesis reactions. Our results show a approximately 19-fold increase in the calculated mRNA copy number from cDNA synthesis reactions primed with random hexamers (P<0.001, n=4), and a approximately 4-fold increase in copy number with a specific hexamer (P<0.001, n=4) compared with that obtained with a 22-mer-sequence-specific primer. The increase in calculated mRNA copy number obtained by priming cDNA synthesis with the shorter specific and non-specific primers could be explained largely by the synthesis of truncated standard cDNA molecules lacking a requisite binding site for amplification with PCR primers. Since these truncated standard cDNA molecules could not be amplified and standard RNA is used to quantify target mRNA copy number, this phenomenon resulted in overestimation of target mRNA copy number. In conclusion, accurate determination of target mRNA copy number is most likely if a long specific antisense primer is used to prime cDNA synthesis.

Mesh:

Substances:

Year:  1999        PMID: 9882620      PMCID: PMC1219957     

Source DB:  PubMed          Journal:  Biochem J        ISSN: 0264-6021            Impact factor:   3.857


  27 in total

1.  Competitive PCR.

Authors:  P D Siebert; J W Larrick
Journal:  Nature       Date:  1992-10-08       Impact factor: 49.962

2.  Standardization of mRNA titration using a polymerase chain reaction method involving co-amplification with a multispecific internal control.

Authors:  M Bouaboula; P Legoux; B Pességué; B Delpech; X Dumont; M Piechaczyk; P Casellas; D Shire
Journal:  J Biol Chem       Date:  1992-10-25       Impact factor: 5.157

Review 3.  Quantitation of gene copy number and mRNA using the polymerase chain reaction.

Authors:  M Volkenandt; A P Dicker; D Banerjee; R Fanin; B Schweitzer; T Horikoshi; K Danenberg; P Danenberg; J R Bertino
Journal:  Proc Soc Exp Biol Med       Date:  1992-05

4.  Differential regulation of macrophage scavenger receptor isoforms: mRNA quantification using the polymerase chain reaction.

Authors:  M Dufva; A Svenningsson; G K Hansson
Journal:  J Lipid Res       Date:  1995-11       Impact factor: 5.922

5.  Quantitative RT-PCR using a PCR-generated competitive internal standard.

Authors:  M Fille; J D Shanley; J Aslanzadeh
Journal:  Biotechniques       Date:  1997-07       Impact factor: 1.993

6.  The use of the reverse transcription-competitive polymerase chain reaction to investigate the in vivo regulation of gene expression in small tissue samples.

Authors:  D Auboeuf; H Vidal
Journal:  Anal Biochem       Date:  1997-02-15       Impact factor: 3.365

7.  Two variants of quantitative reverse transcriptase PCR used to show differential expression of alpha-, beta- and gamma-fibrinogen genes in rat liver lobes.

Authors:  J Zhang; M Desai; S E Ozanne; C Doherty; C N Hales; C D Byrne
Journal:  Biochem J       Date:  1997-02-01       Impact factor: 3.857

8.  Quantitative PCR: theoretical considerations with practical implications.

Authors:  L Raeymaekers
Journal:  Anal Biochem       Date:  1993-11-01       Impact factor: 3.365

9.  Quantification of steady state expression of mRNA for alpha-1 adrenergic receptor subtypes using reverse transcription and a competitive polymerase chain reaction.

Authors:  M A Scofield; F Liu; P W Abel; W B Jeffries
Journal:  J Pharmacol Exp Ther       Date:  1995-11       Impact factor: 4.030

10.  Generation of competitor DNA fragments for quantitative PCR.

Authors:  K Uberla; C Platzer; T Diamantstein; T Blankenstein
Journal:  PCR Methods Appl       Date:  1991-11
View more
  24 in total

1.  Reproducibility of alternative probe synthesis approaches for gene expression profiling with arrays.

Authors:  S D Vernon; E R Unger; M Rajeevan; I M Dimulescu; R Nisenbaum; C E Campbell
Journal:  J Mol Diagn       Date:  2000-08       Impact factor: 5.568

2.  Tuning pacemaker frequency of individual dopaminergic neurons by Kv4.3L and KChip3.1 transcription.

Authors:  B Liss; O Franz; S Sewing; R Bruns; H Neuhoff; J Roeper
Journal:  EMBO J       Date:  2001-10-15       Impact factor: 11.598

3.  Improved quantitative real-time RT-PCR for expression profiling of individual cells.

Authors:  Birgit Liss
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

Review 4.  Pitfalls of quantitative real-time reverse-transcription polymerase chain reaction.

Authors:  Stephen A Bustin; Tania Nolan
Journal:  J Biomol Tech       Date:  2004-09

5.  A microfluidic processor for gene expression profiling of single human embryonic stem cells.

Authors:  Jiang F Zhong; Yan Chen; Joshua S Marcus; Axel Scherer; Stephen R Quake; Clive R Taylor; Leslie P Weiner
Journal:  Lab Chip       Date:  2007-11-02       Impact factor: 6.799

6.  The basidiomycete Ustilago maydis has two plasma membrane H⁺-ATPases related to fungi and plants.

Authors:  Leobarda Robles-Martínez; Juan Pablo Pardo; Manuel Miranda; Tavis L Mendez; Macario Genaro Matus-Ortega; Guillermo Mendoza-Hernández; Guadalupe Guerra-Sánchez
Journal:  J Bioenerg Biomembr       Date:  2013-07-07       Impact factor: 2.945

7.  Quality control methods for optimal BCR-ABL1 clinical testing in human whole blood samples.

Authors:  Lauren M Stanoszek; Erin L Crawford; Thomas M Blomquist; Jessica A Warns; Paige F S Willey; James C Willey
Journal:  J Mol Diagn       Date:  2013-03-27       Impact factor: 5.568

8.  Ultrasensitive quantification of tumor mRNAs in extracellular vesicles with an integrated microfluidic digital analysis chip.

Authors:  Peng Zhang; Jennifer Crow; Divya Lella; Xin Zhou; Glenson Samuel; Andrew K Godwin; Yong Zeng
Journal:  Lab Chip       Date:  2018-12-04       Impact factor: 6.799

9.  Single-cell qPCR on dispersed primary pituitary cells -an optimized protocol.

Authors:  Kjetil Hodne; Trude M Haug; Finn-Arne Weltzien
Journal:  BMC Mol Biol       Date:  2010-11-12       Impact factor: 2.946

10.  Gene expression analysis of interferon kappa in laser capture microdissected cervical epithelium.

Authors:  Correne A DeCarlo; Nicholas G Escott; Julieta Werner; Kerry Robinson; Paul F Lambert; R David Law; Ingeborg Zehbe
Journal:  Anal Biochem       Date:  2008-06-13       Impact factor: 3.365

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.