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Multistability and dynamic transitions of intracellular Min protein patterns

Cells owe their internal organization to self‐organized protein patterns, which originate and adapt to growth and external stimuli via a process that is as complex as it is little understood. Here, we study the emergence, stability, and state transitions of multistable Min protein oscillation patter...

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Autores principales: Wu, Fabai, Halatek, Jacob, Reiter, Matthias, Kingma, Enzo, Frey, Erwin, Dekker, Cees
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923923/
https://www.ncbi.nlm.nih.gov/pubmed/27279643
http://dx.doi.org/10.15252/msb.20156724
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author Wu, Fabai
Halatek, Jacob
Reiter, Matthias
Kingma, Enzo
Frey, Erwin
Dekker, Cees
author_facet Wu, Fabai
Halatek, Jacob
Reiter, Matthias
Kingma, Enzo
Frey, Erwin
Dekker, Cees
author_sort Wu, Fabai
collection PubMed
description Cells owe their internal organization to self‐organized protein patterns, which originate and adapt to growth and external stimuli via a process that is as complex as it is little understood. Here, we study the emergence, stability, and state transitions of multistable Min protein oscillation patterns in live Escherichia coli bacteria during growth up to defined large dimensions. De novo formation of patterns from homogenous starting conditions is observed and studied both experimentally and in simulations. A new theoretical approach is developed for probing pattern stability under perturbations. Quantitative experiments and simulations show that, once established, Min oscillations tolerate a large degree of intracellular heterogeneity, allowing distinctly different patterns to persist in different cells with the same geometry. Min patterns maintain their axes for hours in experiments, despite imperfections, expansion, and changes in cell shape during continuous cell growth. Transitions between multistable Min patterns are found to be rare events induced by strong intracellular perturbations. The instances of multistability studied here are the combined outcome of boundary growth and strongly nonlinear kinetics, which are characteristic of the reaction–diffusion patterns that pervade biology at many scales.
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spelling pubmed-49239232016-07-11 Multistability and dynamic transitions of intracellular Min protein patterns Wu, Fabai Halatek, Jacob Reiter, Matthias Kingma, Enzo Frey, Erwin Dekker, Cees Mol Syst Biol Articles Cells owe their internal organization to self‐organized protein patterns, which originate and adapt to growth and external stimuli via a process that is as complex as it is little understood. Here, we study the emergence, stability, and state transitions of multistable Min protein oscillation patterns in live Escherichia coli bacteria during growth up to defined large dimensions. De novo formation of patterns from homogenous starting conditions is observed and studied both experimentally and in simulations. A new theoretical approach is developed for probing pattern stability under perturbations. Quantitative experiments and simulations show that, once established, Min oscillations tolerate a large degree of intracellular heterogeneity, allowing distinctly different patterns to persist in different cells with the same geometry. Min patterns maintain their axes for hours in experiments, despite imperfections, expansion, and changes in cell shape during continuous cell growth. Transitions between multistable Min patterns are found to be rare events induced by strong intracellular perturbations. The instances of multistability studied here are the combined outcome of boundary growth and strongly nonlinear kinetics, which are characteristic of the reaction–diffusion patterns that pervade biology at many scales. John Wiley and Sons Inc. 2016-06-08 /pmc/articles/PMC4923923/ /pubmed/27279643 http://dx.doi.org/10.15252/msb.20156724 Text en © 2016 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the Creative Commons Attribution 4.0 (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Wu, Fabai
Halatek, Jacob
Reiter, Matthias
Kingma, Enzo
Frey, Erwin
Dekker, Cees
Multistability and dynamic transitions of intracellular Min protein patterns
title Multistability and dynamic transitions of intracellular Min protein patterns
title_full Multistability and dynamic transitions of intracellular Min protein patterns
title_fullStr Multistability and dynamic transitions of intracellular Min protein patterns
title_full_unstemmed Multistability and dynamic transitions of intracellular Min protein patterns
title_short Multistability and dynamic transitions of intracellular Min protein patterns
title_sort multistability and dynamic transitions of intracellular min protein patterns
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923923/
https://www.ncbi.nlm.nih.gov/pubmed/27279643
http://dx.doi.org/10.15252/msb.20156724
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