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Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling

Adaptation allows organisms to maintain a constant internal environment, which is optimised for growth. The unfolded protein response (UPR) is an example of a feedback loop that maintains endoplasmic reticulum (ER) homeostasis, and is characteristic of how adaptation is often mediated by transcripti...

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Autores principales: Jonas, Felix R.H., Royle, Kate E., Aw, Rochelle, Stan, Guy-Bart V., Polizzi, Karen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884231/
https://www.ncbi.nlm.nih.gov/pubmed/29911200
http://dx.doi.org/10.1016/j.synbio.2018.01.001
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author Jonas, Felix R.H.
Royle, Kate E.
Aw, Rochelle
Stan, Guy-Bart V.
Polizzi, Karen M.
author_facet Jonas, Felix R.H.
Royle, Kate E.
Aw, Rochelle
Stan, Guy-Bart V.
Polizzi, Karen M.
author_sort Jonas, Felix R.H.
collection PubMed
description Adaptation allows organisms to maintain a constant internal environment, which is optimised for growth. The unfolded protein response (UPR) is an example of a feedback loop that maintains endoplasmic reticulum (ER) homeostasis, and is characteristic of how adaptation is often mediated by transcriptional networks. The more recent discovery of asymmetric division in maintaining ER homeostasis, however, is an example of how alternative non-transcriptional pathways can exist, but are overlooked by gold standard transcriptomic or proteomic population-based assays. In this study, we have used a combination of fluorescent reporters, flow cytometry and mathematical modelling to explore the relative roles of asymmetric cell division and the UPR in maintaining ER homeostasis. Under low ER stress, asymmetric division leaves daughter cells with an ER deficiency, necessitating activation of the UPR and prolonged cell cycle during which they can recover ER functionality before growth. Mathematical analysis of and simulation results from our mathematical model reinforce the experimental observations that low ER stress primarily impacts the growth rate of the daughter cells. These results demonstrate the interplay between homeostatic pathways and the importance of exploring sub-population dynamics to understand population adaptation to quantitatively different stresses.
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spelling pubmed-58842312018-06-15 Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling Jonas, Felix R.H. Royle, Kate E. Aw, Rochelle Stan, Guy-Bart V. Polizzi, Karen M. Synth Syst Biotechnol Article Adaptation allows organisms to maintain a constant internal environment, which is optimised for growth. The unfolded protein response (UPR) is an example of a feedback loop that maintains endoplasmic reticulum (ER) homeostasis, and is characteristic of how adaptation is often mediated by transcriptional networks. The more recent discovery of asymmetric division in maintaining ER homeostasis, however, is an example of how alternative non-transcriptional pathways can exist, but are overlooked by gold standard transcriptomic or proteomic population-based assays. In this study, we have used a combination of fluorescent reporters, flow cytometry and mathematical modelling to explore the relative roles of asymmetric cell division and the UPR in maintaining ER homeostasis. Under low ER stress, asymmetric division leaves daughter cells with an ER deficiency, necessitating activation of the UPR and prolonged cell cycle during which they can recover ER functionality before growth. Mathematical analysis of and simulation results from our mathematical model reinforce the experimental observations that low ER stress primarily impacts the growth rate of the daughter cells. These results demonstrate the interplay between homeostatic pathways and the importance of exploring sub-population dynamics to understand population adaptation to quantitatively different stresses. KeAi Publishing 2018-01-17 /pmc/articles/PMC5884231/ /pubmed/29911200 http://dx.doi.org/10.1016/j.synbio.2018.01.001 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jonas, Felix R.H.
Royle, Kate E.
Aw, Rochelle
Stan, Guy-Bart V.
Polizzi, Karen M.
Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
title Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
title_full Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
title_fullStr Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
title_full_unstemmed Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
title_short Investigating the consequences of asymmetric endoplasmic reticulum inheritance in Saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
title_sort investigating the consequences of asymmetric endoplasmic reticulum inheritance in saccharomyces cerevisiae under stress using a combination of single cell measurements and mathematical modelling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5884231/
https://www.ncbi.nlm.nih.gov/pubmed/29911200
http://dx.doi.org/10.1016/j.synbio.2018.01.001
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