Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression

Anna Git(Cancer Research UK), Heidi Dvinge(European Bioinformatics Institute), Mali Salmon‐Divon(European Bioinformatics Institute), Michelle Osborne(Cancer Research UK), Claudia Kutter(Cancer Research UK), James Hadfield(Cancer Research UK), Paul Bertone(European Bioinformatics Institute), Carlos Caldas(Cancer Research UK)
RNA
April 1, 2010
Cited by 677Open Access
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Abstract

RNA abundance and DNA copy number are routinely measured in high-throughput using microarray and next-generation sequencing (NGS) technologies, and the attributes of different platforms have been extensively analyzed. Recently, the application of both microarrays and NGS has expanded to include microRNAs (miRNAs), but the relative performance of these methods has not been rigorously characterized. We analyzed three biological samples across six miRNA microarray platforms and compared their hybridization performance. We examined the utility of these platforms, as well as NGS, for the detection of differentially expressed miRNAs. We then validated the results for 89 miRNAs by real-time RT-PCR and challenged the use of this assay as a "gold standard." Finally, we implemented a novel method to evaluate false-positive and false-negative rates for all methods in the absence of a reference method.


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