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Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform
Published on: November 30, 2016
Cross-platform analysis of global microRNA expression technologies.
Carole L Yauk1, Andrea Rowan-Carroll, John Dh Stead
1Environmental Health Sciences and Research Bureau, Health Canada, Ottawa, ON, Canada. Carole_Yauk@hc-sc.gc.ca
BMC Genomics
|May 28, 2010
Summary
MicroRNA (miRNA) DNA microarray platforms demonstrate high reproducibility and reliability. These validated technologies are suitable for studying changes in miRNA expression levels.
Area of Science:
- Molecular Biology
- Genomics
- Biotechnology
Background:
- MicroRNA (miRNA) analysis using DNA microarrays is increasingly popular.
- Validation of these emerging miRNA detection technologies is crucial.
- This study addresses the need for robust validation of miRNA array platforms.
Purpose of the Study:
- To assess the reproducibility of four miRNA DNA microarray platforms.
- To compare the performance of different miRNA array technologies.
- To validate miRNA microarray platforms against quantitative reverse transcription PCR (qRT-PCR).
Main Methods:
- Utilized two distinct reference material pools to highlight miRNA content differences.
- Analyzed miRNA probes yielding signals above background across multiple platforms.
- Performed within- and between-platform reproducibility analyses using Spearman correlations and concordance correlation coefficients.
- Compared miRNA array data with TaqMan PCR array results.
Main Results:
- Most platforms showed high within-platform reproducibility (Spearman correlations >0.9).
- Between-platform comparisons also indicated high correlation (0.663-0.949).
- miRNA array performance was comparable to TaqMan qRT-PCR arrays and previous studies.
Conclusions:
- MicroRNA microarray platforms yield highly reproducible data.
- These validated platforms are recommended for investigating miRNA expression changes.
- The findings support the use of miRNA microarrays in molecular biology research.
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