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Influence of RNA extraction methods and library selection schemes on RNA-seq data
BACKGROUND: Gene expression analysis by RNA sequencing is now widely used in a number of applications surveying the whole transcriptomes of cells and tissues. The recent introduction of ribosomal RNA depletion protocols, such as RiboZero, has extended the view of the polyadenylated transcriptome to...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148917/ https://www.ncbi.nlm.nih.gov/pubmed/25113896 http://dx.doi.org/10.1186/1471-2164-15-675 |
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author | Sultan, Marc Amstislavskiy, Vyacheslav Risch, Thomas Schuette, Moritz Dökel, Simon Ralser, Meryem Balzereit, Daniela Lehrach, Hans Yaspo, Marie-Laure |
author_facet | Sultan, Marc Amstislavskiy, Vyacheslav Risch, Thomas Schuette, Moritz Dökel, Simon Ralser, Meryem Balzereit, Daniela Lehrach, Hans Yaspo, Marie-Laure |
author_sort | Sultan, Marc |
collection | PubMed |
description | BACKGROUND: Gene expression analysis by RNA sequencing is now widely used in a number of applications surveying the whole transcriptomes of cells and tissues. The recent introduction of ribosomal RNA depletion protocols, such as RiboZero, has extended the view of the polyadenylated transcriptome to the poly(A)- fraction of the RNA. However, substantial amounts of intronic transcriptional activity has been reported in RiboZero protocols, raising issues regarding their potential nuclear origin and the impact on the actual sequence depth in exonic regions. RESULTS: Using HEK293 human cells as source material, we assessed here the impact of the two commonly used RNA extraction methods and of the library construction protocols (rRNA depletion versus mRNA) on 1) the relative abundance of intronic reads and 2) on the estimation of gene expression values. We benchmarked the rRNA depletion-based sequencing with a specific analysis of the cytoplasmic and nuclear transcriptome fractions, suggesting that the large majority of the intronic reads correspond to unprocessed nuclear transcripts rather than to independent transcriptional units. We show that Qiagen or TRIzol extraction methods retain differentially nuclear RNA species, and that consequently, rRNA depletion-based RNA sequencing protocols are particularly sensitive to the extraction methods. CONCLUSIONS: We could show that the combination of Trizol-based RNA extraction with rRNA depletion sequencing protocols led to the largest fraction of intronic reads, after the sequencing of the nuclear transcriptome. We discuss here the impact of the various strategies on gene expression and alternative splicing estimation measures. Further, we propose guidelines and a double selection strategy for minimizing the expression biases, without loss of information. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-675) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4148917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41489172014-08-29 Influence of RNA extraction methods and library selection schemes on RNA-seq data Sultan, Marc Amstislavskiy, Vyacheslav Risch, Thomas Schuette, Moritz Dökel, Simon Ralser, Meryem Balzereit, Daniela Lehrach, Hans Yaspo, Marie-Laure BMC Genomics Research Article BACKGROUND: Gene expression analysis by RNA sequencing is now widely used in a number of applications surveying the whole transcriptomes of cells and tissues. The recent introduction of ribosomal RNA depletion protocols, such as RiboZero, has extended the view of the polyadenylated transcriptome to the poly(A)- fraction of the RNA. However, substantial amounts of intronic transcriptional activity has been reported in RiboZero protocols, raising issues regarding their potential nuclear origin and the impact on the actual sequence depth in exonic regions. RESULTS: Using HEK293 human cells as source material, we assessed here the impact of the two commonly used RNA extraction methods and of the library construction protocols (rRNA depletion versus mRNA) on 1) the relative abundance of intronic reads and 2) on the estimation of gene expression values. We benchmarked the rRNA depletion-based sequencing with a specific analysis of the cytoplasmic and nuclear transcriptome fractions, suggesting that the large majority of the intronic reads correspond to unprocessed nuclear transcripts rather than to independent transcriptional units. We show that Qiagen or TRIzol extraction methods retain differentially nuclear RNA species, and that consequently, rRNA depletion-based RNA sequencing protocols are particularly sensitive to the extraction methods. CONCLUSIONS: We could show that the combination of Trizol-based RNA extraction with rRNA depletion sequencing protocols led to the largest fraction of intronic reads, after the sequencing of the nuclear transcriptome. We discuss here the impact of the various strategies on gene expression and alternative splicing estimation measures. Further, we propose guidelines and a double selection strategy for minimizing the expression biases, without loss of information. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-675) contains supplementary material, which is available to authorized users. BioMed Central 2014-08-11 /pmc/articles/PMC4148917/ /pubmed/25113896 http://dx.doi.org/10.1186/1471-2164-15-675 Text en © Sultan et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sultan, Marc Amstislavskiy, Vyacheslav Risch, Thomas Schuette, Moritz Dökel, Simon Ralser, Meryem Balzereit, Daniela Lehrach, Hans Yaspo, Marie-Laure Influence of RNA extraction methods and library selection schemes on RNA-seq data |
title | Influence of RNA extraction methods and library selection schemes on RNA-seq data |
title_full | Influence of RNA extraction methods and library selection schemes on RNA-seq data |
title_fullStr | Influence of RNA extraction methods and library selection schemes on RNA-seq data |
title_full_unstemmed | Influence of RNA extraction methods and library selection schemes on RNA-seq data |
title_short | Influence of RNA extraction methods and library selection schemes on RNA-seq data |
title_sort | influence of rna extraction methods and library selection schemes on rna-seq data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4148917/ https://www.ncbi.nlm.nih.gov/pubmed/25113896 http://dx.doi.org/10.1186/1471-2164-15-675 |
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