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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7046

Title: Nuclear RNA sequencing of the mouse erythroid cell transcriptome
Authors: Mitchell, JA
Clay, I
Umlauf, D
Chen, CY
Moir, CA
Eskiw, CH
Schoenfelder, S
Chakalova, L
Nagano, T
Fraser, P
Publication Date: 2012
Publisher: Public Library of Science
Citation: PLoS One, 7(11): e49274, Nov 2012
Abstract: In addition to protein coding genes a substantial proportion of mammalian genomes are transcribed. However, most transcriptome studies investigate steady-state mRNA levels, ignoring a considerable fraction of the transcribed genome. In addition, steady-state mRNA levels are influenced by both transcriptional and posttranscriptional mechanisms, and thus do not provide a clear picture of transcriptional output. Here, using deep sequencing of nuclear RNAs (nucRNA-Seq) in parallel with chromatin immunoprecipitation sequencing (ChIP-Seq) of active RNA polymerase II, we compared the nuclear transcriptome of mouse anemic spleen erythroid cells with polymerase occupancy on a genome-wide scale. We demonstrate that unspliced transcripts quantified by nucRNA-seq correlate with primary transcript frequencies measured by RNA FISH, but differ from steady-state mRNA levels measured by poly(A)-enriched RNA-seq. Highly expressed protein coding genes showed good correlation between RNAPII occupancy and transcriptional output; however, genome-wide we observed a poor correlation between transcriptional output and RNAPII association. This poor correlation is due to intergenic regions associated with RNAPII which correspond with transcription factor bound regulatory regions and a group of stable, nuclear-retained long non-coding transcripts. In conclusion, sequencing the nuclear transcriptome provides an opportunity to investigate the transcriptional landscape in a given cell type through quantification of unspliced primary transcripts and the identification of nuclear-retained long non-coding RNAs.
Description: Copyright @ 2012 The Authors. 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 credited.
Sponsorship: This work was supported by the Medical Research Council and the Biotechnology and Biological Sciences Research Council, UK (operating grants held by PF) and the Natural Sciences and Engineering Research Council of Canada (Discovery Grant held by JAM). DU was supported by an EMBO fellowship, and CYC was supported in part by an Ontario Graduate Scholarship. The ENCODE project is funded by the National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
URI: http://www.plosone.org/article/info%3Adoi/10.1371/journal.pone.0049274
http://bura.brunel.ac.uk/handle/2438/7046
DOI: http://dx.doi.org/10.1371/journal.pone.0049274
ISSN: 1932-6203
Appears in Collections:Biological Sciences
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Dept of Life Sciences Research Papers

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