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Evaluation of quantitative microRNA expression platforms in the microRNA quality control (miRQC) study

Date:
June 29, 2014
Source:
Ghent University
Summary:
New research has been published that helps researchers to assess the technical performance of laboratory methods to study small RNA molecules. RNA (ribonucleic acid) is the chemical origin of life. Detection and quantification of such small RNAs is challenging and requires state of the art lab instrumentation that enables reliable microRNA quantification.

Ghent University researchers dr Mestdagh and prof Vandesompele publish the results from the international miRQC study in Nature Methods. This study helps other researchers to assess the technical performance of laboratory methods to study small RNA molecules.

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RNA (ribonucleic acid) is the chemical origin of life. Several classes of RNA molecules exist, whereby microRNAs are among the shortest RNA molecules produced by a living human cell. Despite being small, they play a major role in regulating the expression of much longer protein-coding messenger RNAs. MicroRNA expression levels are altered during the course of human disease and these alterations can be observed in diseased tissues as well as in patient body fluids such as serum or plasma. As such, microRNAs have become attractive candidate disease biomarkers as well as targets for novel therapeutic intervention.

Detection and quantification of such small RNAs is challenging and requires state of the art lab instrumentation that enables reliable microRNA quantification. Over the last decade, several microRNA expression level profiling technologies have been developed. However, their performance was never thoroughly evaluated. In the microRNA quality control (miRQC) study, researchers from Ghent University teamed up with all major commercial providers of microRNA profiling technology to assess the performance of 12 different microRNA profiling platforms. By evaluating different aspects of platform performance such as specificity, sensitivity, accuracy and reproducibility, the miRQC study demonstrates that the optimal choice of platform strongly depends on the specific goal of the microRNA profiling experiment. While some platforms are more sensitive, a feature that is of particular importance when profiling microRNAs in body fluids, others are more reproducible and enable the detection of small microRNA expression changes. As such, results from the miRQC study should assist researchers in selecting a microRNA expression profiling platform in function of their particular study goals.


Story Source:

The above story is based on materials provided by Ghent University. Note: Materials may be edited for content and length.


Journal Reference:

  1. Pieter Mestdagh, Nicole Hartmann, Lukas Baeriswyl, Ditte Andreasen, Nathalie Bernard, Caifu Chen, David Cheo, Petula D'Andrade, Mike DeMayo, Lucas Dennis, Stefaan Derveaux, Yun Feng, Stephanie Fulmer-Smentek, Bernhard Gerstmayer, Julia Gouffon, Chris Grimley, Eric Lader, Kathy Y Lee, Shujun Luo, Peter Mouritzen, Aishwarya Narayanan, Sunali Patel, Sabine Peiffer, Silvia Rόberg, Gary Schroth, Dave Schuster, Jonathan M Shaffer, Elliot J Shelton, Scott Silveria, Umberto Ulmanella, Vamsi Veeramachaneni, Frank Staedtler, Thomas Peters, Toumy Guettouche, Jo Vandesompele. Evaluation of quantitative miRNA expression platforms in the microRNA quality control (miRQC) study. Nature Methods, 2014; DOI: 10.1038/nmeth.3014

Cite This Page:

Ghent University. "Evaluation of quantitative microRNA expression platforms in the microRNA quality control (miRQC) study." ScienceDaily. ScienceDaily, 29 June 2014. <www.sciencedaily.com/releases/2014/06/140629141731.htm>.
Ghent University. (2014, June 29). Evaluation of quantitative microRNA expression platforms in the microRNA quality control (miRQC) study. ScienceDaily. Retrieved January 29, 2015 from www.sciencedaily.com/releases/2014/06/140629141731.htm
Ghent University. "Evaluation of quantitative microRNA expression platforms in the microRNA quality control (miRQC) study." ScienceDaily. www.sciencedaily.com/releases/2014/06/140629141731.htm (accessed January 29, 2015).

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