Noncoding after All: Biases in Proteomics Data Do Not Explain Observed Absence of lncRNA Translation Products
Author(s) -
Kenneth Verheggen,
PieterJan Volders,
Pieter Mestdagh,
Gerben Menschaert,
Petra Van Damme,
Kris Gevaert,
Lennart Martens,
Jo Vandesompele
Publication year - 2017
Publication title -
journal of proteome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.644
H-Index - 161
eISSN - 1535-3907
pISSN - 1535-3893
DOI - 10.1021/acs.jproteome.7b00085
Subject(s) - computational biology , long non coding rna , biology , translation (biology) , proteomics , rna , genome , non coding rna , genetics , gene , messenger rna
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.
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