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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
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.
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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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