Background: MicroRNAs (miRNAs) are a class of small RNAs that regulate gene expression. They are aberrantly expressed in many human cancers and are potential therapeutic targets and molecular biomarkers.
Methods: In this study, we for the first time validated the reported data on the entire set of published differential miRNAs (102 in total) through a series of transcriptome-wide experiments. We have conducted genome-wide miRNA profiling in 17 urothelial carcinoma bladder tissues and in nine normal urothelial mucosa samples using three methods: (1) An Illumina HT-12 microarray hybridization (MA) analysis (2) a suppression-subtractive hybridization (SSH) assay followed by deep sequencing (DS) and (3) DS alone.
Results: We show that DS data correlate with previously published information in 87% of cases, whereas MA and SSH data have far smaller correlations with the published information (6 and 9% of cases, respectively). qRT-PCR tests confirmed reliability of the DS data.
Conclusions: Based on our data, MA and SSH data appear to be inadequate for studying differential miRNA expression in the bladder.
Impact: We report the first comprehensive validated database of miRNA markers of human bladder cancer.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3828615 | PMC |
| http://dx.doi.org/10.3389/fgene.2013.00247 | DOI Listing |
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