| A predictive model for yeast cell polarization in pheromone gradients | |
| Muller, Nicolas1; Piel, Matthieu2; Calvez, Vincent3,4; Voituriez, Raphael5,6; Goncalves-Sa, Joana7,8; Guo, Chin-Lin7,8,9; Jiang, Xingyu10,11; Murray, Andrew7,8; Meunier, Nicolas1 | |
| 刊名 | Plos computational biology
 |
| 2016-04-01 | |
| 卷号 | 12期号:4页码:21 |
| ISSN号 | 1553-734X |
| DOI | 10.1371/journal.pcbi.1004795 |
| 通讯作者 | Piel, matthieu(matthieu.piel@curie.fr) ; Murray, andrew(amurray@mcb.harvard.edu) ; Meunier, nicolas(nicolas.meunier@parisdescartes.fr) |
| 英文摘要 | Budding yeast cells exist in two mating types, a and a, 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 alpha-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. |
| WOS关键词 | SACCHAROMYCES-CEREVISIAE ; BUDDING YEAST ; MATHEMATICAL-MODEL ; SPATIAL GRADIENTS ; MATING PARTNERS ; POLARITY ; PROTEINS ; GUIDANCE ; ACTIN ; MORPHOGENESIS |
| WOS研究方向 | Biochemistry & Molecular Biology ; Mathematical & Computational Biology |
| WOS类目 | Biochemical Research Methods ; Mathematical & Computational Biology |
| 语种 | 英语 |
| 出版者 | PUBLIC LIBRARY SCIENCE |
| WOS记录号 | WOS:000376584400009 |
| 内容类型 | 期刊论文 |
| URI标识 | http://www.corc.org.cn/handle/1471x/2176535 |
| 专题 | 高能物理研究所 |
| 通讯作者 | Piel, Matthieu; Murray, Andrew; Meunier, Nicolas |
| 作者单位 | 1.Univ Paris 05, CNRS UMR 8145, MAP5, Paris, France 2.Inst Curie, CNRS UMR 144, Paris, France 3.Ecole Normale Super Lyon, CNRS UMR 5669, Unite Math Pures & Appliquees, F-69364 Lyon, France 4.Ecole Normale Super Lyon, Equipe Projet INRIA NUMED, F-69364 Lyon, France 5.UPMC, CNRS, UMR 7600, Lab Jean Perrin, Paris, France 6.UPMC, CNRS, UMR 7600, Lab Phys Theor Mat Condensee, Paris, France 7.Harvard Univ, Mol & Cell Biol, Cambridge, MA 02138 USA 8.Harvard Univ, FAS Ctr Syst Biol, Cambridge, MA 02138 USA 9.Acad Sinica, Inst Phys, Taipei, Taiwan 10.Harvard Univ, Dept Chem & Chem Biol, Cambridge, MA 02138 USA |
| 推荐引用方式 GB/T 7714 | Muller, Nicolas,Piel, Matthieu,Calvez, Vincent,et al. A predictive model for yeast cell polarization in pheromone gradients[J]. Plos computational biology,2016,12(4):21. |
| APA | Muller, Nicolas.,Piel, Matthieu.,Calvez, Vincent.,Voituriez, Raphael.,Goncalves-Sa, Joana.,...&Meunier, Nicolas.(2016).A predictive model for yeast cell polarization in pheromone gradients.Plos computational biology,12(4),21. |
| MLA | Muller, Nicolas,et al."A predictive model for yeast cell polarization in pheromone gradients".Plos computational biology 12.4(2016):21. |
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