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Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines

MicroRNA profiling represents an important first-step in deducting individual RNA-based regulatory function in a cell, tissue, or at a specific developmental stage. Currently there are several different platforms to choose from in order to make the initial miRNA profiles. In this study we investigat...

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Autores principales: Knutsen, Erik, Fiskaa, Tonje, Ursvik, Anita, Jørgensen, Tor Erik, Perander, Maria, Lund, Eiliv, Seternes, Ole Morten, Johansen, Steinar D., Andreassen, Morten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3793004/
https://www.ncbi.nlm.nih.gov/pubmed/24116077
http://dx.doi.org/10.1371/journal.pone.0075813
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author Knutsen, Erik
Fiskaa, Tonje
Ursvik, Anita
Jørgensen, Tor Erik
Perander, Maria
Lund, Eiliv
Seternes, Ole Morten
Johansen, Steinar D.
Andreassen, Morten
author_facet Knutsen, Erik
Fiskaa, Tonje
Ursvik, Anita
Jørgensen, Tor Erik
Perander, Maria
Lund, Eiliv
Seternes, Ole Morten
Johansen, Steinar D.
Andreassen, Morten
author_sort Knutsen, Erik
collection PubMed
description MicroRNA profiling represents an important first-step in deducting individual RNA-based regulatory function in a cell, tissue, or at a specific developmental stage. Currently there are several different platforms to choose from in order to make the initial miRNA profiles. In this study we investigate recently developed digital microRNA high-throughput technologies. Four different platforms were compared including next generation SOLiD ligation sequencing and Illumina HiSeq sequencing, hybridization-based NanoString nCounter, and miRCURY locked nucleic acid RT-qPCR. For all four technologies, full microRNA profiles were generated from human cell lines that represent noninvasive and invasive tumorigenic breast cancer. This study reports the correlation between platforms, as well as a more extensive analysis of the accuracy and sensitivity of data generated when using different platforms and important consideration when verifying results by the use of additional technologies. We found all the platforms to be highly capable for microRNA analysis. Furthermore, the two NGS platforms and RT-qPCR all have equally high sensitivity, and the fold change accuracy is independent of individual miRNA concentration for NGS and RT-qPCR. Based on these findings we propose new guidelines and considerations when performing microRNA profiling.
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spelling pubmed-37930042013-10-10 Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines Knutsen, Erik Fiskaa, Tonje Ursvik, Anita Jørgensen, Tor Erik Perander, Maria Lund, Eiliv Seternes, Ole Morten Johansen, Steinar D. Andreassen, Morten PLoS One Research Article MicroRNA profiling represents an important first-step in deducting individual RNA-based regulatory function in a cell, tissue, or at a specific developmental stage. Currently there are several different platforms to choose from in order to make the initial miRNA profiles. In this study we investigate recently developed digital microRNA high-throughput technologies. Four different platforms were compared including next generation SOLiD ligation sequencing and Illumina HiSeq sequencing, hybridization-based NanoString nCounter, and miRCURY locked nucleic acid RT-qPCR. For all four technologies, full microRNA profiles were generated from human cell lines that represent noninvasive and invasive tumorigenic breast cancer. This study reports the correlation between platforms, as well as a more extensive analysis of the accuracy and sensitivity of data generated when using different platforms and important consideration when verifying results by the use of additional technologies. We found all the platforms to be highly capable for microRNA analysis. Furthermore, the two NGS platforms and RT-qPCR all have equally high sensitivity, and the fold change accuracy is independent of individual miRNA concentration for NGS and RT-qPCR. Based on these findings we propose new guidelines and considerations when performing microRNA profiling. Public Library of Science 2013-10-08 /pmc/articles/PMC3793004/ /pubmed/24116077 http://dx.doi.org/10.1371/journal.pone.0075813 Text en © 2013 Knutsen 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
Knutsen, Erik
Fiskaa, Tonje
Ursvik, Anita
Jørgensen, Tor Erik
Perander, Maria
Lund, Eiliv
Seternes, Ole Morten
Johansen, Steinar D.
Andreassen, Morten
Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines
title Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines
title_full Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines
title_fullStr Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines
title_full_unstemmed Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines
title_short Performance Comparison of Digital microRNA Profiling Technologies Applied on Human Breast Cancer Cell Lines
title_sort performance comparison of digital microrna profiling technologies applied on human breast cancer cell lines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3793004/
https://www.ncbi.nlm.nih.gov/pubmed/24116077
http://dx.doi.org/10.1371/journal.pone.0075813
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