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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...

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Detalles Bibliográficos
Autores principales: Sin, Celine, Chiarugi, Davide, Valleriani, Angelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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.
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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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