Quantitative profiling of peptides from RNAs classified as noncoding.
Tweedie-Cullen, Ry Y
Steen, Judith A
Springer Science and Business Media LLC
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Prabakaran, S., Hemberg, M., Chauhan, R., Winter, D., Tweedie-Cullen, R. Y., Dittrich, C., Hong, E., et al. (2014). Quantitative profiling of peptides from RNAs classified as noncoding.. Nat Commun, 5 5429. https://doi.org/10.1038/ncomms6429
Only a small fraction of the mammalian genome codes for messenger RNAs destined to be translated into proteins, and it is generally assumed that a large portion of transcribed sequences--including introns and several classes of noncoding RNAs (ncRNAs)--do not give rise to peptide products. A systematic examination of translation and physiological regulation of ncRNAs has not been conducted. Here we use computational methods to identify the products of non-canonical translation in mouse neurons by analysing unannotated transcripts in combination with proteomic data. This study supports the existence of non-canonical translation products from both intragenic and extragenic genomic regions, including peptides derived from antisense transcripts and introns. Moreover, the studied novel translation products exhibit temporal regulation similar to that of proteins known to be involved in neuronal activity processes. These observations highlight a potentially large and complex set of biologically regulated translational events from transcripts formerly thought to lack coding potential.
Neurons, Animals, Mice, Inbred C57BL, Mice, Peptides, RNA, Untranslated, Computational Biology, Genomics, Protein Biosynthesis, Introns
External DOI: https://doi.org/10.1038/ncomms6429
This record's URL: https://www.repository.cam.ac.uk/handle/1810/275639