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Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing
Second-generation sequencing is a powerful method for identifying and quantifying small-RNA components of cells. However, little attention has been paid to the effects of the choice of sequencing platform and library preparation protocol on the results obtained. We present a thorough comparison of s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287988/ https://www.ncbi.nlm.nih.gov/pubmed/22384282 http://dx.doi.org/10.1371/journal.pone.0032724 |
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author | Toedling, Joern Servant, Nicolas Ciaudo, Constance Farinelli, Laurent Voinnet, Olivier Heard, Edith Barillot, Emmanuel |
author_facet | Toedling, Joern Servant, Nicolas Ciaudo, Constance Farinelli, Laurent Voinnet, Olivier Heard, Edith Barillot, Emmanuel |
author_sort | Toedling, Joern |
collection | PubMed |
description | Second-generation sequencing is a powerful method for identifying and quantifying small-RNA components of cells. However, little attention has been paid to the effects of the choice of sequencing platform and library preparation protocol on the results obtained. We present a thorough comparison of small-RNA sequencing libraries generated from the same embryonic stem cell lines, using different sequencing platforms, which represent the three major second-generation sequencing technologies, and protocols. We have analysed and compared the expression of microRNAs, as well as populations of small RNAs derived from repetitive elements. Despite the fact that different libraries display a good correlation between sequencing platforms, qualitative and quantitative variations in the results were found, depending on the protocol used. Thus, when comparing libraries from different biological samples, it is strongly recommended to use the same sequencing platform and protocol in order to ensure the biological relevance of the comparisons. |
format | Online Article Text |
id | pubmed-3287988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32879882012-03-01 Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing Toedling, Joern Servant, Nicolas Ciaudo, Constance Farinelli, Laurent Voinnet, Olivier Heard, Edith Barillot, Emmanuel PLoS One Research Article Second-generation sequencing is a powerful method for identifying and quantifying small-RNA components of cells. However, little attention has been paid to the effects of the choice of sequencing platform and library preparation protocol on the results obtained. We present a thorough comparison of small-RNA sequencing libraries generated from the same embryonic stem cell lines, using different sequencing platforms, which represent the three major second-generation sequencing technologies, and protocols. We have analysed and compared the expression of microRNAs, as well as populations of small RNAs derived from repetitive elements. Despite the fact that different libraries display a good correlation between sequencing platforms, qualitative and quantitative variations in the results were found, depending on the protocol used. Thus, when comparing libraries from different biological samples, it is strongly recommended to use the same sequencing platform and protocol in order to ensure the biological relevance of the comparisons. Public Library of Science 2012-02-27 /pmc/articles/PMC3287988/ /pubmed/22384282 http://dx.doi.org/10.1371/journal.pone.0032724 Text en Toedling 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 Toedling, Joern Servant, Nicolas Ciaudo, Constance Farinelli, Laurent Voinnet, Olivier Heard, Edith Barillot, Emmanuel Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing |
title | Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing |
title_full | Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing |
title_fullStr | Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing |
title_full_unstemmed | Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing |
title_short | Deep-Sequencing Protocols Influence the Results Obtained in Small-RNA Sequencing |
title_sort | deep-sequencing protocols influence the results obtained in small-rna sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287988/ https://www.ncbi.nlm.nih.gov/pubmed/22384282 http://dx.doi.org/10.1371/journal.pone.0032724 |
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