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Quantitative Profiling of Peptides from RNAs classified as non-coding

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 non-coding RNAs (ncRNAs) do not give rise to peptide products. A system...

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Autores principales: Prabakaran, Sudhakaran, Hemberg, Martin, Chauhan, Ruchi, Winter, Dominic, Tweedie-Cullen, Ry Y., Dittrich, Christian, Hong, Elizabeth, Gunawardena, Jeremy, Steen, Hanno, Kreiman, Gabriel, Steen, Judith A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416701/
https://www.ncbi.nlm.nih.gov/pubmed/25403355
http://dx.doi.org/10.1038/ncomms6429
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author Prabakaran, Sudhakaran
Hemberg, Martin
Chauhan, Ruchi
Winter, Dominic
Tweedie-Cullen, Ry Y.
Dittrich, Christian
Hong, Elizabeth
Gunawardena, Jeremy
Steen, Hanno
Kreiman, Gabriel
Steen, Judith A.
author_facet Prabakaran, Sudhakaran
Hemberg, Martin
Chauhan, Ruchi
Winter, Dominic
Tweedie-Cullen, Ry Y.
Dittrich, Christian
Hong, Elizabeth
Gunawardena, Jeremy
Steen, Hanno
Kreiman, Gabriel
Steen, Judith A.
author_sort Prabakaran, Sudhakaran
collection PubMed
description 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 non-coding 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 analyzing 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 anti-sense 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.
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spelling pubmed-44167012015-05-18 Quantitative Profiling of Peptides from RNAs classified as non-coding Prabakaran, Sudhakaran Hemberg, Martin Chauhan, Ruchi Winter, Dominic Tweedie-Cullen, Ry Y. Dittrich, Christian Hong, Elizabeth Gunawardena, Jeremy Steen, Hanno Kreiman, Gabriel Steen, Judith A. Nat Commun Article 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 non-coding 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 analyzing 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 anti-sense 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. 2014-11-18 /pmc/articles/PMC4416701/ /pubmed/25403355 http://dx.doi.org/10.1038/ncomms6429 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Prabakaran, Sudhakaran
Hemberg, Martin
Chauhan, Ruchi
Winter, Dominic
Tweedie-Cullen, Ry Y.
Dittrich, Christian
Hong, Elizabeth
Gunawardena, Jeremy
Steen, Hanno
Kreiman, Gabriel
Steen, Judith A.
Quantitative Profiling of Peptides from RNAs classified as non-coding
title Quantitative Profiling of Peptides from RNAs classified as non-coding
title_full Quantitative Profiling of Peptides from RNAs classified as non-coding
title_fullStr Quantitative Profiling of Peptides from RNAs classified as non-coding
title_full_unstemmed Quantitative Profiling of Peptides from RNAs classified as non-coding
title_short Quantitative Profiling of Peptides from RNAs classified as non-coding
title_sort quantitative profiling of peptides from rnas classified as non-coding
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4416701/
https://www.ncbi.nlm.nih.gov/pubmed/25403355
http://dx.doi.org/10.1038/ncomms6429
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