دورية أكاديمية
A Predictive Model for Yeast Cell Polarization in Pheromone Gradients
| العنوان: | A Predictive Model for Yeast Cell Polarization in Pheromone Gradients |
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| المؤلفون: | Muller, Nicolas, Piel, Matthieu, Calvez, Vincent, Voituriez, Raphaël, Gonçalves-Sá, Joana, Guo, Chin-Lin, Jiang, Xingyu, Murray, Andrew, Meunier, Nicolas |
| بيانات النشر: | Public Library of Science |
| سنة النشر: | 2016 |
| المجموعة: | Harvard University: DASH - Digital Access to Scholarship at Harvard |
| مصطلحات موضوعية: | Biology and Life Sciences, Biochemistry, Pheromones, Pheromone Receptors, Cell Biology, Signal Transduction, Cellular Structures and Organelles, Cell Membranes, Cell Processes, Endocytosis, Secretory Pathway, Cell Physiology, Cell Polarity, Model Organisms, Yeast and Fungal Models, Organisms, Fungi, Yeast, Saccharomyces, Saccharomyces Cerevisiae, Mathematical and Statistical Techniques, Mathematical Models |
| الوصف: | 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. ; Version of Record |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1553-734X |
| العلاقة: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4831791/pdfTest/; PLoS Computational Biology; Muller, Nicolas, Matthieu Piel, Vincent Calvez, Raphaël Voituriez, Joana Gonçalves-Sá, Chin-Lin Guo, Xingyu Jiang, Andrew Murray, and Nicolas Meunier. 2016. “A Predictive Model for Yeast Cell Polarization in Pheromone Gradients.” PLoS Computational Biology 12 (4): e1004795. doi:10.1371/journal.pcbi.1004795. http://dx.doi.org/10.1371/journal.pcbi.1004795Test.; http://nrs.harvard.edu/urn-3:HUL.InstRepos:26860233Test |
| DOI: | 10.1371/journal.pcbi.1004795 |
| الإتاحة: | https://doi.org/10.1371/journal.pcbi.1004795Test http://nrs.harvard.edu/urn-3:HUL.InstRepos:26860233Test |
| رقم الانضمام: | edsbas.644DEDF4 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 1553734X |
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| DOI: | 10.1371/journal.pcbi.1004795 |