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Cross-platform analysis of global microRNA expression technologies
BACKGROUND: Although analysis of microRNAs (miRNAs) by DNA microarrays is gaining in popularity, these new technologies have not been adequately validated. We examined within and between platform reproducibility of four miRNA array technologies alongside TaqMan PCR arrays. RESULTS: Two distinct pool...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890562/ https://www.ncbi.nlm.nih.gov/pubmed/20504329 http://dx.doi.org/10.1186/1471-2164-11-330 |
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author | Yauk, Carole L Rowan-Carroll, Andrea Stead, John DH Williams, Andrew |
author_facet | Yauk, Carole L Rowan-Carroll, Andrea Stead, John DH Williams, Andrew |
author_sort | Yauk, Carole L |
collection | PubMed |
description | BACKGROUND: Although analysis of microRNAs (miRNAs) by DNA microarrays is gaining in popularity, these new technologies have not been adequately validated. We examined within and between platform reproducibility of four miRNA array technologies alongside TaqMan PCR arrays. RESULTS: Two distinct pools of reference materials were selected in order to maximize differences in miRNA content. Filtering for miRNA that yielded signal above background revealed 54 miRNA probes (matched by sequence) across all platforms. Using this probeset as well as all probes that were present on an individual platform, within-platform analyses revealed Spearman correlations of >0.9 for most platforms. Comparing between platforms, rank analysis of the log ratios of the two reference pools also revealed high correlation (range 0.663-0.949). Spearman rank correlation and concordance correlation coefficients for miRNA arrays against TaqMan qRT-PCR arrays were similar for all of the technologies. Platform performances were similar to those of previous cross-platform exercises on mRNA and miRNA microarray technologies. CONCLUSIONS: These data indicate that miRNA microarray platforms generated highly reproducible data and can be recommended for the study of changes in miRNA expression. |
format | Text |
id | pubmed-2890562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28905622010-06-24 Cross-platform analysis of global microRNA expression technologies Yauk, Carole L Rowan-Carroll, Andrea Stead, John DH Williams, Andrew BMC Genomics Research Article BACKGROUND: Although analysis of microRNAs (miRNAs) by DNA microarrays is gaining in popularity, these new technologies have not been adequately validated. We examined within and between platform reproducibility of four miRNA array technologies alongside TaqMan PCR arrays. RESULTS: Two distinct pools of reference materials were selected in order to maximize differences in miRNA content. Filtering for miRNA that yielded signal above background revealed 54 miRNA probes (matched by sequence) across all platforms. Using this probeset as well as all probes that were present on an individual platform, within-platform analyses revealed Spearman correlations of >0.9 for most platforms. Comparing between platforms, rank analysis of the log ratios of the two reference pools also revealed high correlation (range 0.663-0.949). Spearman rank correlation and concordance correlation coefficients for miRNA arrays against TaqMan qRT-PCR arrays were similar for all of the technologies. Platform performances were similar to those of previous cross-platform exercises on mRNA and miRNA microarray technologies. CONCLUSIONS: These data indicate that miRNA microarray platforms generated highly reproducible data and can be recommended for the study of changes in miRNA expression. BioMed Central 2010-05-26 /pmc/articles/PMC2890562/ /pubmed/20504329 http://dx.doi.org/10.1186/1471-2164-11-330 Text en Copyright ©2010 Yauk et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yauk, Carole L Rowan-Carroll, Andrea Stead, John DH Williams, Andrew Cross-platform analysis of global microRNA expression technologies |
title | Cross-platform analysis of global microRNA expression technologies |
title_full | Cross-platform analysis of global microRNA expression technologies |
title_fullStr | Cross-platform analysis of global microRNA expression technologies |
title_full_unstemmed | Cross-platform analysis of global microRNA expression technologies |
title_short | Cross-platform analysis of global microRNA expression technologies |
title_sort | cross-platform analysis of global microrna expression technologies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890562/ https://www.ncbi.nlm.nih.gov/pubmed/20504329 http://dx.doi.org/10.1186/1471-2164-11-330 |
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