ArticlePloS one2008
Modeling robustness tradeoffs in yeast cell polarization induced by spatial gradients.
Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Information bounds on the accuracy of cell polarization.PloS one · 2025Article
- Study of impacts of two types of cellular aging on the yeast bud morphogenesis.PLoS computational biology · 2024Article
- Article
- A positive feedback loop involving the Spa2 SHD domain contributes to focal polarization.PloS one · 2022Article
- Ratiometric GPCR signaling enables directional sensing in yeast.PLoS biology · 2019Article
- Spatiotemporal dynamics of a reaction-diffusion model of pollen tube tip growth.Journal of mathematical biology · 2019Article
- BioSimulator.jl: Stochastic simulation in Julia.Computer methods and programs in biomedicine · 2018Article
- The effect of cell geometry on polarization in budding yeast.PLoS computational biology · 2018Article
- Parameter uncertainty quantification using surrogate models applied to a spatial model of yeast mating polarization.PLoS computational biology · 2018Article
- Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction.PLoS computational biology · 2018Article
- Modelling of Yeast Mating Reveals Robustness Strategies for Cell-Cell Interactions.PLoS computational biology · 2016Article
- Gβ promotes pheromone receptor polarization and yeast chemotropism by inhibiting receptor phosphorylation.Science signaling · 2016Article
- A Predictive Model for Yeast Cell Polarization in Pheromone Gradients.PLoS computational biology · 2016Article
- Alternative cell polarity behaviours arise from changes in G-protein spatial dynamics.IET systems biology · 2015Article
- Roles of regulated internalization in the polarization of cell surface receptors.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2014Article
- Noise attenuation in the ON and OFF states of biological switches.ACS synthetic biology · 2013Article
- Spatial stochastic dynamics enable robust cell polarization.PLoS computational biology · 2013Article
- Signaling regulated endocytosis and exocytosis lead to mating pheromone concentration dependent morphologies in yeast.FEBS letters · 2012Article
- Noise filtering tradeoffs in spatial gradient sensing and cell polarization response.BMC systems biology · 2011Article
- A computational model of cell polarization and motility coupling mechanics and biochemistry.Multiscale modeling & simulation : a SIAM interdisciplinary journal · 2011Article
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3 authors.
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Abstract
Cells localize (polarize) internal components to specific locations in response to external signals such as spatial gradients. For example, yeast cells form a mating projection toward the source of mating pheromone. There are specific challenges associated with cell polarization including amplification of shallow external gradients of ligand to produce steep internal gradients of protein components (e.g. localized distribution), response over a broad range of ligand concentrations, and tracking of moving signal sources. In this work, we investigated the tradeoffs among these performance objectives using a generic model that captures the basic spatial dynamics of polarization in yeast cells, which are small. We varied the positive feedback, cooperativity, and diffusion coefficients in the model to explore the nature of this tradeoff. Increasing the positive feedback gain resulted in better amplification, but also produced multiple steady-states and hysteresis that prevented the tracking of directional changes of the gradient. Feedforward/feedback coincidence detection in the positive feedback loop and multi-stage amplification both improved tracking with only a modest loss of amplification. Surprisingly, we found that introducing lateral surface diffusion increased the robustness of polarization and collapsed the multiple steady-states to a single steady-state at the cost of a reduction in polarization. Finally, in a more mechanistic model of yeast cell polarization, a surface diffusion coefficient between 0.01 and 0.001 µm(2)/s produced the best polarization performance, and this range is close to the measured value. The model also showed good gradient-sensitivity and dynamic range. This research is significant because it provides an in-depth analysis of the performance tradeoffs that confront biological systems that sense and respond to chemical spatial gradients, proposes strategies for balancing this tradeoff, highlights the critical role of lateral diffusion of proteins in the membrane on the robustness of polarization, and furnishes a framework for future spatial models of yeast cell polarization.
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