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

Authors :
Anne Loft
Ronni Nielsen
Bjørk Ditlev Larsen
Susanne Mandrup
Søren Fisker Schmidt
Jesper Grud Skat Madsen
Source :
Madsen, J G S, Schmidt, S F, Larsen, B D, Loft, A, Nielsen, R & Mandrup, S 2015, ' iRNA-seq: computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data ', Nucleic Acids Research, vol. 43, no. 6, e40 . https://doi.org/10.1093/nar/gku1365, Nucleic Acids Research
Publication Year :
2015
Publisher :
Oxford University Press (OUP), 2015.

Abstract

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.

Details

ISSN :
13624962 and 03051048
Volume :
43
Database :
OpenAIRE
Journal :
Nucleic Acids Research
Accession number :
edsair.doi.dedup.....2273f2cfb813576cc8fe8663b3958331
Full Text :
https://doi.org/10.1093/nar/gku1365