Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yauk, Carole L, Rowan-Carroll, Andrea, Stead, John DH, Williams, Andrew
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
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
_version_ 1782182805802844160
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
work_keys_str_mv AT yaukcarolel crossplatformanalysisofglobalmicrornaexpressiontechnologies
AT rowancarrollandrea crossplatformanalysisofglobalmicrornaexpressiontechnologies
AT steadjohndh crossplatformanalysisofglobalmicrornaexpressiontechnologies
AT williamsandrew crossplatformanalysisofglobalmicrornaexpressiontechnologies