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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18141

Title: Reliable gene expression analysis by reverse transcription-quantitative PCR: reporting and minimizing the uncertainty in data accuracy.
Authors: REMANS, Tony
KEUNEN, Els
BEX, Geert Jan
SMEETS, Karen
VANGRONSVELD, Jaco
CUYPERS, Ann
Issue Date: 2014
Citation: PLANT CELL, 26 (10), p. 3829-3837
Abstract: Reverse transcription-quantitative PCR (RT-qPCR) has been widely adopted to measure differences in mRNA levels; however, biological and technical variation strongly affects the accuracy of the reported differences. RT-qPCR specialists have warned that, unless researchers minimize this variability, they may report inaccurate differences and draw incorrect biological conclusions. The Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines describe procedures for conducting and reporting RT-qPCR experiments. The MIQE guidelines enable others to judge the reliability of reported results; however, a recent literature survey found low adherence to these guidelines. Additionally, even experiments that use appropriate procedures remain subject to individual variation that statistical methods cannot correct. For example, since ideal reference genes do not exist, the widely used method of normalizing RT-qPCR data to reference genes generates background noise that affects the accuracy of measured changes in mRNA levels. However, current RT-qPCR data reporting styles ignore this source of variation. In this commentary, we direct researchers to appropriate procedures, outline a method to present the remaining uncertainty in data accuracy, and propose an intuitive way to select reference genes to minimize uncertainty. Reporting the uncertainty in data accuracy also serves for quality assessment, enabling researchers and peer reviewers to confidently evaluate the reliability of gene expression data.
URI: http://hdl.handle.net/1942/18141
DOI: 10.1105/tpc.114.130641
ISI #: 000345920900005
ISSN: 1040-4651
Category: A2
Type: Journal Contribution
Appears in Collections: Research publications

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