Literature DB >> 25361949

Variability of the reverse transcription step: practical implications.

Stephen Bustin1, Harvinder S Dhillon2, Sara Kirvell2, Christina Greenwood2, Michael Parker2, Gregory L Shipley3, Tania Nolan4.   

Abstract

BACKGROUND: The reverse transcription (RT) of RNA to cDNA is a necessary first step for numerous research and molecular diagnostic applications. Although RT efficiency is known to be variable, little attention has been paid to the practical implications of that variability.
METHODS: We investigated the reproducibility of the RT step with commercial reverse transcriptases and RNA samples of variable quality and concentration. We quantified several mRNA targets with either singleplex SYBR Green I or dualplex probe-based reverse transcription real-time quantitative PCR (RT-qPCR), with the latter used to calculate the correlation between quantification cycles (Cqs) of mRNA targets amplified in the same real-time quantitative PCR (qPCR) assay.
RESULTS: RT efficiency is enzyme, sample, RNA concentration, and assay dependent and can lead to variable correlation between mRNAs from the same sample. This translates into relative mRNA expression levels that generally vary between 2- and 3-fold, although higher levels are also observed.
CONCLUSIONS: Our study demonstrates that the variability of the RT step is sufficiently large to call into question the validity of many published data that rely on quantification of cDNA. Variability can be minimized by choosing an appropriate RTase and high concentrations of RNA and characterizing the variability of individual assays by use of multiple RT replicates.
© 2014 American Association for Clinical Chemistry.

Mesh:

Substances:

Year:  2014        PMID: 25361949     DOI: 10.1373/clinchem.2014.230615

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  24 in total

1.  Assays for precise quantification of total (including short) and elongated HIV-1 transcripts.

Authors:  Philipp Kaiser; Sunil K Joshi; Peggy Kim; Peilin Li; Hongbing Liu; Andrew P Rice; Joseph K Wong; Steven A Yukl
Journal:  J Virol Methods       Date:  2016-12-27       Impact factor: 2.014

2.  Selection of reference genes for quantitative RT-PCR (RT-qPCR) analysis of rat tissues under physiological and toxicological conditions.

Authors:  Terje Svingen; Heidi Letting; Niels Hadrup; Ulla Hass; Anne Marie Vinggaard
Journal:  PeerJ       Date:  2015-03-24       Impact factor: 2.984

3.  A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer.

Authors:  Paola Campomenosi; Elisabetta Gini; Douglas M Noonan; Albino Poli; Paola D'Antona; Nicola Rotolo; Lorenzo Dominioni; Andrea Imperatori
Journal:  BMC Biotechnol       Date:  2016-08-18       Impact factor: 2.563

Review 4.  The reproducibility of biomedical research: Sleepers awake!

Authors:  Stephen A Bustin
Journal:  Biomol Detect Quantif       Date:  2015-01-21

5.  quantGenius: implementation of a decision support system for qPCR-based gene quantification.

Authors:  Špela Baebler; Miha Svalina; Marko Petek; Katja Stare; Ana Rotter; Maruša Pompe-Novak; Kristina Gruden
Journal:  BMC Bioinformatics       Date:  2017-05-25       Impact factor: 3.169

6.  Reproducibility of biomedical research - The importance of editorial vigilance.

Authors:  Stephen A Bustin; Jim F Huggett
Journal:  Biomol Detect Quantif       Date:  2017-02-21

7.  RT-qPCR Testing of SARS-CoV-2: A Primer.

Authors:  Stephen A Bustin; Tania Nolan
Journal:  Int J Mol Sci       Date:  2020-04-24       Impact factor: 5.923

8.  Real-time PCR probe optimization using design of experiments approach.

Authors:  S Wadle; M Lehnert; S Rubenwolf; R Zengerle; F von Stetten
Journal:  Biomol Detect Quantif       Date:  2015-12-30

9.  A simple, accurate and universal method for quantification of PCR.

Authors:  Nicky Boulter; Francia Garces Suarez; Stephen Schibeci; Trevor Sunderland; Ornella Tolhurst; Tegan Hunter; George Hodge; David Handelsman; Ulla Simanainen; Edward Hendriks; Karen Duggan
Journal:  BMC Biotechnol       Date:  2016-03-09       Impact factor: 2.563

10.  Comparison of molecular quantification of Plasmodium falciparum gametocytes by Pfs25 qRT-PCR and QT-NASBA in relation to mosquito infectivity.

Authors:  Helmi Pett; Bronner P Gonçalves; Alassane Dicko; Issa Nébié; Alfred B Tiono; Kjerstin Lanke; John Bradley; Ingrid Chen; Halimatou Diawara; Almahamoudou Mahamar; Harouna M Soumare; Sekou F Traore; Ibrahima Baber; Sodiomon B Sirima; Robert Sauerwein; Joelle Brown; Roly Gosling; Ingrid Felger; Chris Drakeley; Teun Bousema
Journal:  Malar J       Date:  2016-11-08       Impact factor: 2.979

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.