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Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues
MicroRNAs play a role in regulating diverse biological processes and have considerable utility as molecular markers for diagnosis and monitoring of human disease. Several technologies are available commercially for measuring microRNA expression. However, cross-platform comparisons do not necessarily...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3561362/ https://www.ncbi.nlm.nih.gov/pubmed/23382819 http://dx.doi.org/10.1371/journal.pone.0052517 |
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author | Kolbert, Christopher P. Feddersen, Rod M. Rakhshan, Fariborz Grill, Diane E. Simon, Gyorgy Middha, Sumit Jang, Jin Sung Simon, Vernadette Schultz, Debra A. Zschunke, Michael Lingle, Wilma Carr, Jennifer M. Thompson, E. Aubrey Oberg, Ann L. Eckloff, Bruce W. Wieben, Eric D. Li, Peter Yang, Ping Jen, Jin |
author_facet | Kolbert, Christopher P. Feddersen, Rod M. Rakhshan, Fariborz Grill, Diane E. Simon, Gyorgy Middha, Sumit Jang, Jin Sung Simon, Vernadette Schultz, Debra A. Zschunke, Michael Lingle, Wilma Carr, Jennifer M. Thompson, E. Aubrey Oberg, Ann L. Eckloff, Bruce W. Wieben, Eric D. Li, Peter Yang, Ping Jen, Jin |
author_sort | Kolbert, Christopher P. |
collection | PubMed |
description | MicroRNAs play a role in regulating diverse biological processes and have considerable utility as molecular markers for diagnosis and monitoring of human disease. Several technologies are available commercially for measuring microRNA expression. However, cross-platform comparisons do not necessarily correlate well, making it difficult to determine which platform most closely represents the true microRNA expression level in a tissue. To address this issue, we have analyzed RNA derived from cell lines, as well as fresh frozen and formalin-fixed paraffin embedded tissues, using Affymetrix, Agilent, and Illumina microRNA arrays, NanoString counting, and Illumina Next Generation Sequencing. We compared the performance within- and between the different platforms, and then verified these results with those of quantitative PCR data. Our results demonstrate that the within-platform reproducibility for each method is consistently high and although the gene expression profiles from each platform show unique traits, comparison of genes that were commonly detectable showed that detection of microRNA transcripts was similar across multiple platforms. |
format | Online Article Text |
id | pubmed-3561362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35613622013-02-04 Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues Kolbert, Christopher P. Feddersen, Rod M. Rakhshan, Fariborz Grill, Diane E. Simon, Gyorgy Middha, Sumit Jang, Jin Sung Simon, Vernadette Schultz, Debra A. Zschunke, Michael Lingle, Wilma Carr, Jennifer M. Thompson, E. Aubrey Oberg, Ann L. Eckloff, Bruce W. Wieben, Eric D. Li, Peter Yang, Ping Jen, Jin PLoS One Research Article MicroRNAs play a role in regulating diverse biological processes and have considerable utility as molecular markers for diagnosis and monitoring of human disease. Several technologies are available commercially for measuring microRNA expression. However, cross-platform comparisons do not necessarily correlate well, making it difficult to determine which platform most closely represents the true microRNA expression level in a tissue. To address this issue, we have analyzed RNA derived from cell lines, as well as fresh frozen and formalin-fixed paraffin embedded tissues, using Affymetrix, Agilent, and Illumina microRNA arrays, NanoString counting, and Illumina Next Generation Sequencing. We compared the performance within- and between the different platforms, and then verified these results with those of quantitative PCR data. Our results demonstrate that the within-platform reproducibility for each method is consistently high and although the gene expression profiles from each platform show unique traits, comparison of genes that were commonly detectable showed that detection of microRNA transcripts was similar across multiple platforms. Public Library of Science 2013-01-31 /pmc/articles/PMC3561362/ /pubmed/23382819 http://dx.doi.org/10.1371/journal.pone.0052517 Text en © 2013 Kolbert et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kolbert, Christopher P. Feddersen, Rod M. Rakhshan, Fariborz Grill, Diane E. Simon, Gyorgy Middha, Sumit Jang, Jin Sung Simon, Vernadette Schultz, Debra A. Zschunke, Michael Lingle, Wilma Carr, Jennifer M. Thompson, E. Aubrey Oberg, Ann L. Eckloff, Bruce W. Wieben, Eric D. Li, Peter Yang, Ping Jen, Jin Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues |
title | Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues |
title_full | Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues |
title_fullStr | Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues |
title_full_unstemmed | Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues |
title_short | Multi-Platform Analysis of MicroRNA Expression Measurements in RNA from Fresh Frozen and FFPE Tissues |
title_sort | multi-platform analysis of microrna expression measurements in rna from fresh frozen and ffpe tissues |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3561362/ https://www.ncbi.nlm.nih.gov/pubmed/23382819 http://dx.doi.org/10.1371/journal.pone.0052517 |
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