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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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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. |
format | Online Article Text |
id | pubmed-4416701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
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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