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Noncoding after all : biases in proteomics data do not explain observed absence of lncRNA translation products

Kenneth Verheggen (UGent) , Pieter-Jan Volders (UGent) , Pieter Mestdagh (UGent) , Gerben Menschaert (UGent) , Petra Van Damme (UGent) , Kris Gevaert (UGent) , Lennart Martens (UGent) and Jo Vandesompele (UGent)
(2017) JOURNAL OF PROTEOME RESEARCH. 16(7). p.2508-2515
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Bioinformatics: from nucleotids to networks (N2N)
Abstract
Over the past decade, long noncoding RNAs (lncRNAs) have emerged as novel functional entities of the eukaryotic genome. However, the scientific community remains divided over the amount of true noncoding transcripts among the large number of unannotated transcripts identified by recent large scale and deep RNA-sequencing efforts. Here, we systematically exclude possible technical reasons underlying the absence of lncRNA-encoded proteins in mass spectrometry data sets, strongly suggesting that the large majority of lncRNAs is indeed not translated.
Keywords
public data, lncRNA, mass spectrometry, msms, micropeptide, translation, PROVIDES EVIDENCE, PROTEIN, RNAS, REVEALS, CELLS, IDENTIFICATION, LANDSCAPE, SEQUENCE

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Citation

Please use this url to cite or link to this publication:

Chicago
Verheggen, Kenneth, Pieter-Jan Volders, Pieter Mestdagh, Gerben Menschaert, Petra Van Damme, Kris Gevaert, Lennart Martens, and Jo Vandesompele. 2017. “Noncoding After All : Biases in Proteomics Data Do Not Explain Observed Absence of lncRNA Translation Products.” Journal of Proteome Research 16 (7): 2508–2515.
APA
Verheggen, K., Volders, P.-J., Mestdagh, P., Menschaert, G., Van Damme, P., Gevaert, K., Martens, L., et al. (2017). Noncoding after all : biases in proteomics data do not explain observed absence of lncRNA translation products. JOURNAL OF PROTEOME RESEARCH, 16(7), 2508–2515.
Vancouver
1.
Verheggen K, Volders P-J, Mestdagh P, Menschaert G, Van Damme P, Gevaert K, et al. Noncoding after all : biases in proteomics data do not explain observed absence of lncRNA translation products. JOURNAL OF PROTEOME RESEARCH. 2017;16(7):2508–15.
MLA
Verheggen, Kenneth, Pieter-Jan Volders, Pieter Mestdagh, et al. “Noncoding After All : Biases in Proteomics Data Do Not Explain Observed Absence of lncRNA Translation Products.” JOURNAL OF PROTEOME RESEARCH 16.7 (2017): 2508–2515. Print.
@article{8524743,
  abstract     = {Over the past decade, long noncoding RNAs (lncRNAs) have emerged as novel functional entities of the eukaryotic genome. However, the scientific community remains divided over the amount of true noncoding transcripts among the large number of unannotated transcripts identified by recent large scale and deep RNA-sequencing efforts. Here, we systematically exclude possible technical reasons underlying the absence of lncRNA-encoded proteins in mass spectrometry data sets, strongly suggesting that the large majority of lncRNAs is indeed not translated.},
  author       = {Verheggen, Kenneth and Volders, Pieter-Jan and Mestdagh, Pieter and Menschaert, Gerben and Van Damme, Petra and Gevaert, Kris and Martens, Lennart and Vandesompele, Jo},
  issn         = {1535-3893},
  journal      = {JOURNAL OF PROTEOME RESEARCH},
  keyword      = {public data,lncRNA,mass spectrometry,msms,micropeptide,translation,PROVIDES EVIDENCE,PROTEIN,RNAS,REVEALS,CELLS,IDENTIFICATION,LANDSCAPE,SEQUENCE},
  language     = {eng},
  number       = {7},
  pages        = {2508--2515},
  title        = {Noncoding after all : biases in proteomics data do not explain observed absence of lncRNA translation products},
  url          = {http://dx.doi.org/10.1021/acs.jproteome.7b00085},
  volume       = {16},
  year         = {2017},
}

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