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.
| Original language | English |
|---|---|
| Pages (from-to) | 991-1006 |
| Number of pages | 16 |
| Journal | RNA |
| Volume | 16 |
| Issue number | 5 |
| DOIs | |
| State | Published - May 2010 |
| Externally published | Yes |
Keywords
- Differential expression
- Microarray
- Pyrosequencing
- Real-time PCR
- Sequencing
- miRNA
- miRNA-seq
- microRNA
Fingerprint
Dive into the research topics of 'Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver