Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1782427134821662720 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4831791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mullernicolas apredictivemodelforyeastcellpolarizationinpheromonegradients AT pielmatthieu apredictivemodelforyeastcellpolarizationinpheromonegradients AT calvezvincent apredictivemodelforyeastcellpolarizationinpheromonegradients AT voituriezraphael apredictivemodelforyeastcellpolarizationinpheromonegradients AT goncalvessajoana apredictivemodelforyeastcellpolarizationinpheromonegradients AT guochinlin apredictivemodelforyeastcellpolarizationinpheromonegradients AT jiangxingyu apredictivemodelforyeastcellpolarizationinpheromonegradients AT murrayandrew apredictivemodelforyeastcellpolarizationinpheromonegradients AT meuniernicolas apredictivemodelforyeastcellpolarizationinpheromonegradients AT mullernicolas predictivemodelforyeastcellpolarizationinpheromonegradients AT pielmatthieu predictivemodelforyeastcellpolarizationinpheromonegradients AT calvezvincent predictivemodelforyeastcellpolarizationinpheromonegradients AT voituriezraphael predictivemodelforyeastcellpolarizationinpheromonegradients AT goncalvessajoana predictivemodelforyeastcellpolarizationinpheromonegradients AT guochinlin predictivemodelforyeastcellpolarizationinpheromonegradients AT jiangxingyu predictivemodelforyeastcellpolarizationinpheromonegradients AT murrayandrew predictivemodelforyeastcellpolarizationinpheromonegradients AT meuniernicolas predictivemodelforyeastcellpolarizationinpheromonegradients |