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Performance evaluation of commercial miRNA expression array platforms
BACKGROUND: microRNAs (miRNA) are short, endogenous transcripts that negatively regulate the expression of specific mRNA targets. The relative abundance of miRNAs is linked to function in vivo and miRNA expression patterns are potentially useful signatures for the development of diagnostic, prognost...
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/PMC2853548/ https://www.ncbi.nlm.nih.gov/pubmed/20298588 http://dx.doi.org/10.1186/1756-0500-3-80 |
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author | Sah, Sachin McCall, Matthew N Eveleigh, Deepa Wilson, Michael Irizarry, Rafael A |
author_facet | Sah, Sachin McCall, Matthew N Eveleigh, Deepa Wilson, Michael Irizarry, Rafael A |
author_sort | Sah, Sachin |
collection | PubMed |
description | BACKGROUND: microRNAs (miRNA) are short, endogenous transcripts that negatively regulate the expression of specific mRNA targets. The relative abundance of miRNAs is linked to function in vivo and miRNA expression patterns are potentially useful signatures for the development of diagnostic, prognostic and therapeutic biomarkers. FINDING: We compared the performance characteristics of four commercial miRNA array technologies and found that all platforms performed well in separate measures of performance. CONCLUSIONS: The Ambion and Agilent platforms were more accurate, whereas the Illumina and Exiqon platforms were more specific. Furthermore, the data analysis approach had a large impact on the performance, predominantly by improving precision. |
format | Text |
id | pubmed-2853548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28535482010-04-13 Performance evaluation of commercial miRNA expression array platforms Sah, Sachin McCall, Matthew N Eveleigh, Deepa Wilson, Michael Irizarry, Rafael A BMC Res Notes Technical Note BACKGROUND: microRNAs (miRNA) are short, endogenous transcripts that negatively regulate the expression of specific mRNA targets. The relative abundance of miRNAs is linked to function in vivo and miRNA expression patterns are potentially useful signatures for the development of diagnostic, prognostic and therapeutic biomarkers. FINDING: We compared the performance characteristics of four commercial miRNA array technologies and found that all platforms performed well in separate measures of performance. CONCLUSIONS: The Ambion and Agilent platforms were more accurate, whereas the Illumina and Exiqon platforms were more specific. Furthermore, the data analysis approach had a large impact on the performance, predominantly by improving precision. BioMed Central 2010-03-18 /pmc/articles/PMC2853548/ /pubmed/20298588 http://dx.doi.org/10.1186/1756-0500-3-80 Text en Copyright ©2010 Irizarry 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 | Technical Note Sah, Sachin McCall, Matthew N Eveleigh, Deepa Wilson, Michael Irizarry, Rafael A Performance evaluation of commercial miRNA expression array platforms |
title | Performance evaluation of commercial miRNA expression array platforms |
title_full | Performance evaluation of commercial miRNA expression array platforms |
title_fullStr | Performance evaluation of commercial miRNA expression array platforms |
title_full_unstemmed | Performance evaluation of commercial miRNA expression array platforms |
title_short | Performance evaluation of commercial miRNA expression array platforms |
title_sort | performance evaluation of commercial mirna expression array platforms |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2853548/ https://www.ncbi.nlm.nih.gov/pubmed/20298588 http://dx.doi.org/10.1186/1756-0500-3-80 |
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