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Quantitative assessment of ribosome drop-off in E. coli
Premature ribosome drop-off is one of the major errors in translation of mRNA by ribosomes. However, repeated analyses of Ribo-seq data failed to quantify its strength in E. coli. Relying on a novel highly sensitive data analysis method we show that a significant rate of ribosome drop-off is measura...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824120/ https://www.ncbi.nlm.nih.gov/pubmed/26935582 http://dx.doi.org/10.1093/nar/gkw137 |
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author | Sin, Celine Chiarugi, Davide Valleriani, Angelo |
author_facet | Sin, Celine Chiarugi, Davide Valleriani, Angelo |
author_sort | Sin, Celine |
collection | PubMed |
description | Premature ribosome drop-off is one of the major errors in translation of mRNA by ribosomes. However, repeated analyses of Ribo-seq data failed to quantify its strength in E. coli. Relying on a novel highly sensitive data analysis method we show that a significant rate of ribosome drop-off is measurable and can be quantified also when cells are cultured under non-stressing conditions. Moreover, we find that the drop-off rate is highly variable, depending on multiple factors. In particular, under environmental stress such as amino acid starvation or ethanol intoxication, the drop-off rate markedly increases. |
format | Online Article Text |
id | pubmed-4824120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-48241202016-04-08 Quantitative assessment of ribosome drop-off in E. coli Sin, Celine Chiarugi, Davide Valleriani, Angelo Nucleic Acids Res Computational Biology Premature ribosome drop-off is one of the major errors in translation of mRNA by ribosomes. However, repeated analyses of Ribo-seq data failed to quantify its strength in E. coli. Relying on a novel highly sensitive data analysis method we show that a significant rate of ribosome drop-off is measurable and can be quantified also when cells are cultured under non-stressing conditions. Moreover, we find that the drop-off rate is highly variable, depending on multiple factors. In particular, under environmental stress such as amino acid starvation or ethanol intoxication, the drop-off rate markedly increases. Oxford University Press 2016-04-07 2016-03-01 /pmc/articles/PMC4824120/ /pubmed/26935582 http://dx.doi.org/10.1093/nar/gkw137 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Computational Biology Sin, Celine Chiarugi, Davide Valleriani, Angelo Quantitative assessment of ribosome drop-off in E. coli |
title | Quantitative assessment of ribosome drop-off in E. coli |
title_full | Quantitative assessment of ribosome drop-off in E. coli |
title_fullStr | Quantitative assessment of ribosome drop-off in E. coli |
title_full_unstemmed | Quantitative assessment of ribosome drop-off in E. coli |
title_short | Quantitative assessment of ribosome drop-off in E. coli |
title_sort | quantitative assessment of ribosome drop-off in e. coli |
topic | Computational Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4824120/ https://www.ncbi.nlm.nih.gov/pubmed/26935582 http://dx.doi.org/10.1093/nar/gkw137 |
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