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Forecasting cell fate during antibiotic exposure using stochastic gene expression
Antibiotic killing does not occur at a single, precise time for all cells within a population. Variability in time to death can be caused by stochastic expression of genes, resulting in differences in endogenous stress-resistance levels between individual cells in a population. Here we investigate w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624276/ https://www.ncbi.nlm.nih.gov/pubmed/31312728 http://dx.doi.org/10.1038/s42003-019-0509-0 |
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author | Rossi, Nicholas A. El Meouche, Imane Dunlop, Mary J. |
author_facet | Rossi, Nicholas A. El Meouche, Imane Dunlop, Mary J. |
author_sort | Rossi, Nicholas A. |
collection | PubMed |
description | Antibiotic killing does not occur at a single, precise time for all cells within a population. Variability in time to death can be caused by stochastic expression of genes, resulting in differences in endogenous stress-resistance levels between individual cells in a population. Here we investigate whether single-cell differences in gene expression prior to antibiotic exposure are related to cell survival times after antibiotic exposure for a range of genes of diverse function. We quantified the time to death of single cells under antibiotic exposure in combination with expression of reporters. For some reporters, including genes involved in stress response and cellular processes like metabolism, the time to cell death had a strong relationship with the initial expression level of the genes. Our results highlight the single-cell level non-uniformity of antibiotic killing and also provide examples of key genes where cell-to-cell variation in expression is strongly linked to extended durations of antibiotic survival. |
format | Online Article Text |
id | pubmed-6624276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-66242762019-07-16 Forecasting cell fate during antibiotic exposure using stochastic gene expression Rossi, Nicholas A. El Meouche, Imane Dunlop, Mary J. Commun Biol Article Antibiotic killing does not occur at a single, precise time for all cells within a population. Variability in time to death can be caused by stochastic expression of genes, resulting in differences in endogenous stress-resistance levels between individual cells in a population. Here we investigate whether single-cell differences in gene expression prior to antibiotic exposure are related to cell survival times after antibiotic exposure for a range of genes of diverse function. We quantified the time to death of single cells under antibiotic exposure in combination with expression of reporters. For some reporters, including genes involved in stress response and cellular processes like metabolism, the time to cell death had a strong relationship with the initial expression level of the genes. Our results highlight the single-cell level non-uniformity of antibiotic killing and also provide examples of key genes where cell-to-cell variation in expression is strongly linked to extended durations of antibiotic survival. Nature Publishing Group UK 2019-07-11 /pmc/articles/PMC6624276/ /pubmed/31312728 http://dx.doi.org/10.1038/s42003-019-0509-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Rossi, Nicholas A. El Meouche, Imane Dunlop, Mary J. Forecasting cell fate during antibiotic exposure using stochastic gene expression |
title | Forecasting cell fate during antibiotic exposure using stochastic gene expression |
title_full | Forecasting cell fate during antibiotic exposure using stochastic gene expression |
title_fullStr | Forecasting cell fate during antibiotic exposure using stochastic gene expression |
title_full_unstemmed | Forecasting cell fate during antibiotic exposure using stochastic gene expression |
title_short | Forecasting cell fate during antibiotic exposure using stochastic gene expression |
title_sort | forecasting cell fate during antibiotic exposure using stochastic gene expression |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6624276/ https://www.ncbi.nlm.nih.gov/pubmed/31312728 http://dx.doi.org/10.1038/s42003-019-0509-0 |
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