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

被引:498
作者
Git, Anna [1 ]
Dvinge, Heidi [2 ]
Salmon-Divon, Mali [2 ]
Osborne, Michelle [1 ]
Kutter, Claudia [1 ]
Hadfield, James [1 ]
Bertone, Paul [2 ]
Caldas, Carlos [1 ]
机构
[1] Canc Res UK, Cambridge Res Inst, Li Ka Shing Ctr, Cambridge CB2 0RE, England
[2] EBI, EMBL, Cambridge CB10 1SD, England
基金
瑞士国家科学基金会;
关键词
miRNA; microRNA; differential expression; microarray; real-time PCR; sequencing; pyrosequencing; miRNA-seq; STEM-CELL CHARACTERISTICS; LINE PMC42; RNA; IDENTIFICATION; PLATFORM; DATABASE; CANCER;
D O I
10.1261/rna.1947110
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:991 / 1006
页数:16
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