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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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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. |
format | Online Article Text |
id | pubmed-4381047 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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