Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rossi, Nicholas A., El Meouche, Imane, Dunlop, Mary J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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
_version_ 1783434236858990592
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
work_keys_str_mv AT rossinicholasa forecastingcellfateduringantibioticexposureusingstochasticgeneexpression
AT elmeoucheimane forecastingcellfateduringantibioticexposureusingstochasticgeneexpression
AT dunlopmaryj forecastingcellfateduringantibioticexposureusingstochasticgeneexpression