Nuclear stability and transcriptional directionality separate functionally distinct RNA species

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Standard

Nuclear stability and transcriptional directionality separate functionally distinct RNA species. / Andersson, Robin; Refsing Andersen, Peter; Valen, Eivind; Core, Leighton J.; Lange, Jette Bornholdt; Boyd, Mette; Jensen, Torben Heick; Sandelin, Albin Gustav.

I: Nature Communications, Bind 5, 5336, 2014.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Andersson, R, Refsing Andersen, P, Valen, E, Core, LJ, Lange, JB, Boyd, M, Jensen, TH & Sandelin, AG 2014, 'Nuclear stability and transcriptional directionality separate functionally distinct RNA species', Nature Communications, bind 5, 5336. https://doi.org/10.1038/ncomms6336

APA

Andersson, R., Refsing Andersen, P., Valen, E., Core, L. J., Lange, J. B., Boyd, M., Jensen, T. H., & Sandelin, A. G. (2014). Nuclear stability and transcriptional directionality separate functionally distinct RNA species. Nature Communications, 5, [5336]. https://doi.org/10.1038/ncomms6336

Vancouver

Andersson R, Refsing Andersen P, Valen E, Core LJ, Lange JB, Boyd M o.a. Nuclear stability and transcriptional directionality separate functionally distinct RNA species. Nature Communications. 2014;5. 5336. https://doi.org/10.1038/ncomms6336

Author

Andersson, Robin ; Refsing Andersen, Peter ; Valen, Eivind ; Core, Leighton J. ; Lange, Jette Bornholdt ; Boyd, Mette ; Jensen, Torben Heick ; Sandelin, Albin Gustav. / Nuclear stability and transcriptional directionality separate functionally distinct RNA species. I: Nature Communications. 2014 ; Bind 5.

Bibtex

@article{b1c4c8d7e63d4f9186a5e709b3e53a05,
title = "Nuclear stability and transcriptional directionality separate functionally distinct RNA species",
abstract = "Mammalian genomes are pervasively transcribed, yielding a complex transcriptome with high variability in composition and cellular abundance. Although recent efforts have identified thousands of new long non-coding (lnc) RNAs and demonstrated a complex transcriptional repertoire produced by protein-coding (pc) genes, limited progress has been made in distinguishing functional RNA from spurious transcription events. This is partly due to present RNA classification, which is typically based on technical rather than biochemical criteria. Here we devise a strategy to systematically categorize human RNAs by their sensitivity to the ribonucleolytic RNA exosome complex and by the nature of their transcription initiation. These measures are surprisingly effective at correctly classifying annotated transcripts, including lncRNAs of known function. The approach also identifies uncharacterized stable lncRNAs, hidden among a vast majority of unstable transcripts. The predictive power of the approach promises to streamline the functional analysis of known and novel RNAs.",
author = "Robin Andersson and {Refsing Andersen}, Peter and Eivind Valen and Core, {Leighton J.} and Lange, {Jette Bornholdt} and Mette Boyd and Jensen, {Torben Heick} and Sandelin, {Albin Gustav}",
year = "2014",
doi = "10.1038/ncomms6336",
language = "English",
volume = "5",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",

}

RIS

TY - JOUR

T1 - Nuclear stability and transcriptional directionality separate functionally distinct RNA species

AU - Andersson, Robin

AU - Refsing Andersen, Peter

AU - Valen, Eivind

AU - Core, Leighton J.

AU - Lange, Jette Bornholdt

AU - Boyd, Mette

AU - Jensen, Torben Heick

AU - Sandelin, Albin Gustav

PY - 2014

Y1 - 2014

N2 - Mammalian genomes are pervasively transcribed, yielding a complex transcriptome with high variability in composition and cellular abundance. Although recent efforts have identified thousands of new long non-coding (lnc) RNAs and demonstrated a complex transcriptional repertoire produced by protein-coding (pc) genes, limited progress has been made in distinguishing functional RNA from spurious transcription events. This is partly due to present RNA classification, which is typically based on technical rather than biochemical criteria. Here we devise a strategy to systematically categorize human RNAs by their sensitivity to the ribonucleolytic RNA exosome complex and by the nature of their transcription initiation. These measures are surprisingly effective at correctly classifying annotated transcripts, including lncRNAs of known function. The approach also identifies uncharacterized stable lncRNAs, hidden among a vast majority of unstable transcripts. The predictive power of the approach promises to streamline the functional analysis of known and novel RNAs.

AB - Mammalian genomes are pervasively transcribed, yielding a complex transcriptome with high variability in composition and cellular abundance. Although recent efforts have identified thousands of new long non-coding (lnc) RNAs and demonstrated a complex transcriptional repertoire produced by protein-coding (pc) genes, limited progress has been made in distinguishing functional RNA from spurious transcription events. This is partly due to present RNA classification, which is typically based on technical rather than biochemical criteria. Here we devise a strategy to systematically categorize human RNAs by their sensitivity to the ribonucleolytic RNA exosome complex and by the nature of their transcription initiation. These measures are surprisingly effective at correctly classifying annotated transcripts, including lncRNAs of known function. The approach also identifies uncharacterized stable lncRNAs, hidden among a vast majority of unstable transcripts. The predictive power of the approach promises to streamline the functional analysis of known and novel RNAs.

U2 - 10.1038/ncomms6336

DO - 10.1038/ncomms6336

M3 - Journal article

C2 - 25387874

VL - 5

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 5336

ER -

ID: 127624259