ArticleMolecular systems biology2016
Multistability and dynamic transitions of intracellular Min protein patterns.
Article in Molecular systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- A tutorial for mesoscale computer simulations of lipid membranes: tether pulling, tubulation and fluctuations.Soft matter · 2025Review
- Robust and resource-optimal dynamic pattern formation of Min proteins in vivo.Nature physics · 2025Article
- Artificial cell system as a tool for investigating pattern formation mechanisms of intracellular reaction-diffusion waves.Biophysics and physicobiology · 2024Review
- Feedback linking cell envelope stiffness, curvature, and synthesis enables robust rod-shaped bacterial growth.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Mode selection mechanism in traveling and standing waves revealed by Min wave reconstituted in artificial cells.Science advances · 2022Article
- Modern perspectives on near-equilibrium analysis of Turing systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021Review
- Article
- Turing Patterning in Stratified Domains.Bulletin of mathematical biology · 2020Article
- Geometric cues stabilise long-axis polarisation of PAR protein patterns in C. elegans.Nature communications · 2020Article
- Article
- The E. coli MinCDE system in the regulation of protein patterns and gradients.Cellular and molecular life sciences : CMLS · 2019Review
- Interlinked GTPase cascades provide a motif for both robust switches and oscillators.Journal of the Royal Society, Interface · 2019Article
- Cell Boundary Confinement Sets the Size and Position of the E. coli Chromosome.Current biology : CB · 2019Article
- Guiding self-organized pattern formation in cell polarity establishment.Nature physics · 2019Article
- Synthetic cell division via membrane-transforming molecular assemblies.BMC biology · 2019Review
- Regulation of Pom cluster dynamics in Myxococcus xanthus.PLoS computational biology · 2018Article
- Rhythmicity and waves in the cortex of single cells.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- The Min-protein oscillations inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Self-organization principles of intracellular pattern formation.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Fundamental principles in bacterial physiology-history, recent progress, and the future with focus on cell size control: a review.Reports on progress in physics. Physical Society (Great Britain) · 2018Review
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6 authors.
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Abstract
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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