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A Predictive Model for Yeast Cell Polarization in Pheromone Gradients

Budding yeast cells exist in two mating types, a and α, which use peptide pheromones to communicate with each other during mating. Mating depends on the ability of cells to polarize up pheromone gradients, but cells also respond to spatially uniform fields of pheromone by polarizing along a single a...

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Autores principales: Muller, Nicolas, Piel, Matthieu, Calvez, Vincent, Voituriez, Raphaël, Gonçalves-Sá, Joana, Guo, Chin-Lin, Jiang, Xingyu, Murray, Andrew, Meunier, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831791/
https://www.ncbi.nlm.nih.gov/pubmed/27077831
http://dx.doi.org/10.1371/journal.pcbi.1004795
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author Muller, Nicolas
Piel, Matthieu
Calvez, Vincent
Voituriez, Raphaël
Gonçalves-Sá, Joana
Guo, Chin-Lin
Jiang, Xingyu
Murray, Andrew
Meunier, Nicolas
author_facet Muller, Nicolas
Piel, Matthieu
Calvez, Vincent
Voituriez, Raphaël
Gonçalves-Sá, Joana
Guo, Chin-Lin
Jiang, Xingyu
Murray, Andrew
Meunier, Nicolas
author_sort Muller, Nicolas
collection PubMed
description Budding yeast cells exist in two mating types, a and α, which use peptide pheromones to communicate with each other during mating. Mating depends on the ability of cells to polarize up pheromone gradients, but cells also respond to spatially uniform fields of pheromone by polarizing along a single axis. We used quantitative measurements of the response of a cells to α-factor to produce a predictive model of yeast polarization towards a pheromone gradient. We found that cells make a sharp transition between budding cycles and mating induced polarization and that they detect pheromone gradients accurately only over a narrow range of pheromone concentrations corresponding to this transition. We fit all the parameters of the mathematical model by using quantitative data on spontaneous polarization in uniform pheromone concentration. Once these parameters have been computed, and without any further fit, our model quantitatively predicts the yeast cell response to pheromone gradient providing an important step toward understanding how cells communicate with each other.
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spelling pubmed-48317912016-04-22 A Predictive Model for Yeast Cell Polarization in Pheromone Gradients Muller, Nicolas Piel, Matthieu Calvez, Vincent Voituriez, Raphaël Gonçalves-Sá, Joana Guo, Chin-Lin Jiang, Xingyu Murray, Andrew Meunier, Nicolas PLoS Comput Biol Research Article Budding yeast cells exist in two mating types, a and α, which use peptide pheromones to communicate with each other during mating. Mating depends on the ability of cells to polarize up pheromone gradients, but cells also respond to spatially uniform fields of pheromone by polarizing along a single axis. We used quantitative measurements of the response of a cells to α-factor to produce a predictive model of yeast polarization towards a pheromone gradient. We found that cells make a sharp transition between budding cycles and mating induced polarization and that they detect pheromone gradients accurately only over a narrow range of pheromone concentrations corresponding to this transition. We fit all the parameters of the mathematical model by using quantitative data on spontaneous polarization in uniform pheromone concentration. Once these parameters have been computed, and without any further fit, our model quantitatively predicts the yeast cell response to pheromone gradient providing an important step toward understanding how cells communicate with each other. Public Library of Science 2016-04-14 /pmc/articles/PMC4831791/ /pubmed/27077831 http://dx.doi.org/10.1371/journal.pcbi.1004795 Text en © 2016 Muller et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Muller, Nicolas
Piel, Matthieu
Calvez, Vincent
Voituriez, Raphaël
Gonçalves-Sá, Joana
Guo, Chin-Lin
Jiang, Xingyu
Murray, Andrew
Meunier, Nicolas
A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
title A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
title_full A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
title_fullStr A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
title_full_unstemmed A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
title_short A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
title_sort predictive model for yeast cell polarization in pheromone gradients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831791/
https://www.ncbi.nlm.nih.gov/pubmed/27077831
http://dx.doi.org/10.1371/journal.pcbi.1004795
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