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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...
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/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. |
format | Online Article Text |
id | pubmed-3793004 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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