Literature DB >> 20025972

Why the need for qPCR publication guidelines?--The case for MIQE.

Stephen A Bustin1.   

Abstract

The polymerase chain reaction (PCR) has matured from a labour- and time-intensive, low throughput qualitative gel-based technique to an easily automated, rapid, high throughput quantitative technology. Real-time quantitative PCR (qPCR) has become the benchmark technology for the detection and quantification of nucleic acids in a research, diagnostic, forensic and biotechnology setting. However, ill-assorted pre-assay conditions, poor assay design and inappropriate data analysis methodologies have resulted in the recurrent publication of data that are at best inconsistent and at worst irrelevant and even misleading. Furthermore, there is a lamentable lack of transparency of reporting, with the "Materials and Methods" sections of many publications, especially those with high impact factors, not fit for the purpose of evaluating the quality of any reported qPCR data. This poses a challenge to the integrity of the scientific literature, with serious consequences not just for basic research, but potentially calamitous implications for drug development and disease monitoring. These issues are being addressed by a set of guidelines that propose a minimum standard for the provision of information for qPCR experiments ("MIQE"). MIQE aims to restructure to-day's free-for-all qPCR methods into a more consistent format that will encourage detailed auditing of experimental detail, data analysis and reporting principles. General implementation of these guidelines is an important requisite for the maturing of qPCR into a robust, accurate and reliable nucleic acid quantification technology. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20025972     DOI: 10.1016/j.ymeth.2009.12.006

Source DB:  PubMed          Journal:  Methods        ISSN: 1046-2023            Impact factor:   3.608


  128 in total

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Journal:  Mol Biotechnol       Date:  2012-11       Impact factor: 2.695

2.  Routine lab method's accuracy called into question.

Authors:  Catherine Shaffer
Journal:  Nat Med       Date:  2010-04       Impact factor: 53.440

Review 3.  Molecular function of TCF7L2: Consequences of TCF7L2 splicing for molecular function and risk for type 2 diabetes.

Authors:  Ola Hansson; Yuedan Zhou; Erik Renström; Peter Osmark
Journal:  Curr Diab Rep       Date:  2010-12       Impact factor: 4.810

4.  The need for transparency and good practices in the qPCR literature.

Authors:  Stephen A Bustin; Vladimir Benes; Jeremy Garson; Jan Hellemans; Jim Huggett; Mikael Kubista; Reinhold Mueller; Tania Nolan; Michael W Pfaffl; Gregory Shipley; Carl T Wittwer; Peter Schjerling; Philip J Day; Mónica Abreu; Begoña Aguado; Jean-François Beaulieu; Anneleen Beckers; Sara Bogaert; John A Browne; Fernando Carrasco-Ramiro; Liesbeth Ceelen; Kate Ciborowski; Pieter Cornillie; Stephanie Coulon; Ann Cuypers; Sara De Brouwer; Leentje De Ceuninck; Jurgen De Craene; Hélène De Naeyer; Ward De Spiegelaere; Kato Deckers; Annelies Dheedene; Kaat Durinck; Margarida Ferreira-Teixeira; Annelies Fieuw; Jack M Gallup; Sandra Gonzalo-Flores; Karen Goossens; Femke Heindryckx; Elizabeth Herring; Hans Hoenicka; Laura Icardi; Rolf Jaggi; Farzad Javad; Michael Karampelias; Frederick Kibenge; Molly Kibenge; Candy Kumps; Irina Lambertz; Tim Lammens; Amelia Markey; Peter Messiaen; Evelien Mets; Sofia Morais; Alberto Mudarra-Rubio; Justine Nakiwala; Hilde Nelis; Pal A Olsvik; Claudina Pérez-Novo; Michelle Plusquin; Tony Remans; Ali Rihani; Paulo Rodrigues-Santos; Pieter Rondou; Rebecca Sanders; Katharina Schmidt-Bleek; Kerstin Skovgaard; Karen Smeets; Laura Tabera; Stefan Toegel; Tim Van Acker; Wim Van den Broeck; Joni Van der Meulen; Mireille Van Gele; Gert Van Peer; Mario Van Poucke; Nadine Van Roy; Sarah Vergult; Joris Wauman; Marina Tshuikina-Wiklander; Erik Willems; Sara Zaccara; Fjoralba Zeka; Jo Vandesompele
Journal:  Nat Methods       Date:  2013-11       Impact factor: 28.547

Review 5.  Reference genes in real-time PCR.

Authors:  Bartłomiej Kozera; Marcin Rapacz
Journal:  J Appl Genet       Date:  2013-11       Impact factor: 3.240

6.  Custom design of a GeXP multiplexed assay used to assess expression profiles of inflammatory gene targets in normal colon, polyp, and tumor tissue.

Authors:  Janice E Drew; Claus-Dieter Mayer; Andrew J Farquharson; Pauline Young; Lawrence N Barrera
Journal:  J Mol Diagn       Date:  2011-03       Impact factor: 5.568

7.  Long non-coding RNA normalisers in human brain tissue.

Authors:  Theo F J Kraus; Andrea Greiner; Virginie Guibourt; Hans A Kretzschmar
Journal:  J Neural Transm (Vienna)       Date:  2014-12-21       Impact factor: 3.575

8.  Postprandial changes in high density lipoproteins in rats subjected to gavage administration of virgin olive oil.

Authors:  Roberto Martínez-Beamonte; María A Navarro; Sergio Acin; Natalia Guillén; Cristina Barranquero; Carmen Arnal; Joaquín Surra; Jesus Osada
Journal:  PLoS One       Date:  2013-01-29       Impact factor: 3.240

9.  Absolute Quantification of Plasma MicroRNA Levels in Cynomolgus Monkeys, Using Quantitative Real-time Reverse Transcription PCR.

Authors:  Takuma Iguchi; Noriyo Niino; Satoshi Tamai; Ken Sakurai; Kazuhiko Mori
Journal:  J Vis Exp       Date:  2018-02-12       Impact factor: 1.355

Review 10.  Non-coding RNAs as drug targets.

Authors:  Masayuki Matsui; David R Corey
Journal:  Nat Rev Drug Discov       Date:  2016-07-22       Impact factor: 84.694

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