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iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data

RNA-seq is a sensitive and accurate technique to compare steady-state levels of RNA between different cellular states. However, as it does not provide an account of transcriptional activity per se, other technologies are needed to more precisely determine acute transcriptional responses. Here, we ha...

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Autores principales: Madsen, Jesper Grud Skat, Schmidt, Søren Fisker, Larsen, Bjørk Ditlev, Loft, Anne, Nielsen, Ronni, Mandrup, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381047/
https://www.ncbi.nlm.nih.gov/pubmed/25564527
http://dx.doi.org/10.1093/nar/gku1365
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author Madsen, Jesper Grud Skat
Schmidt, Søren Fisker
Larsen, Bjørk Ditlev
Loft, Anne
Nielsen, Ronni
Mandrup, Susanne
author_facet Madsen, Jesper Grud Skat
Schmidt, Søren Fisker
Larsen, Bjørk Ditlev
Loft, Anne
Nielsen, Ronni
Mandrup, Susanne
author_sort Madsen, Jesper Grud Skat
collection PubMed
description RNA-seq is a sensitive and accurate technique to compare steady-state levels of RNA between different cellular states. However, as it does not provide an account of transcriptional activity per se, other technologies are needed to more precisely determine acute transcriptional responses. Here, we have developed an easy, sensitive and accurate novel computational method, iRNA-seq, for genome-wide assessment of transcriptional activity based on analysis of intron coverage from total RNA-seq data. Comparison of the results derived from iRNA-seq analyses with parallel results derived using current methods for genome-wide determination of transcriptional activity, i.e. global run-on (GRO)-seq and RNA polymerase II (RNAPII) ChIP-seq, demonstrate that iRNA-seq provides similar results in terms of number of regulated genes and their fold change. However, unlike the current methods that are all very labor-intensive and demanding in terms of sample material and technologies, iRNA-seq is cheap and easy and requires very little sample material. In conclusion, iRNA-seq offers an attractive novel alternative to current methods for determination of changes in transcriptional activity at a genome-wide level.
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spelling pubmed-43810472015-04-03 iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data Madsen, Jesper Grud Skat Schmidt, Søren Fisker Larsen, Bjørk Ditlev Loft, Anne Nielsen, Ronni Mandrup, Susanne Nucleic Acids Res Methods Online RNA-seq is a sensitive and accurate technique to compare steady-state levels of RNA between different cellular states. However, as it does not provide an account of transcriptional activity per se, other technologies are needed to more precisely determine acute transcriptional responses. Here, we have developed an easy, sensitive and accurate novel computational method, iRNA-seq, for genome-wide assessment of transcriptional activity based on analysis of intron coverage from total RNA-seq data. Comparison of the results derived from iRNA-seq analyses with parallel results derived using current methods for genome-wide determination of transcriptional activity, i.e. global run-on (GRO)-seq and RNA polymerase II (RNAPII) ChIP-seq, demonstrate that iRNA-seq provides similar results in terms of number of regulated genes and their fold change. However, unlike the current methods that are all very labor-intensive and demanding in terms of sample material and technologies, iRNA-seq is cheap and easy and requires very little sample material. In conclusion, iRNA-seq offers an attractive novel alternative to current methods for determination of changes in transcriptional activity at a genome-wide level. Oxford University Press 2015-03-31 2015-01-06 /pmc/articles/PMC4381047/ /pubmed/25564527 http://dx.doi.org/10.1093/nar/gku1365 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methods Online
Madsen, Jesper Grud Skat
Schmidt, Søren Fisker
Larsen, Bjørk Ditlev
Loft, Anne
Nielsen, Ronni
Mandrup, Susanne
iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
title iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
title_full iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
title_fullStr iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
title_full_unstemmed iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
title_short iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
title_sort irna-seq: computational method for genome-wide assessment of acute transcriptional regulation from total rna-seq data
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4381047/
https://www.ncbi.nlm.nih.gov/pubmed/25564527
http://dx.doi.org/10.1093/nar/gku1365
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