English
Cell processes in space and time - exemplified with yeast mating
Multi angle
Auteurs : Klipp, Edda (Auteur de la conférence)
CIRM (Editeur )
92C40 - Biochemistry, molecular biology
92C42 - Systems biology, networks
CIRM (Editeur )
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Résumé :
Baker's yeast (Saccharomyces cerevisiae) has a diploid life-style, but under stress conditions, it forms spores, which then release haploid cells of mating types MATa and MATα. MATa cells are a frequently used model organism for many cell biological studies of cell cycle, metabolism or signaling. MATa and MATα cells can also mate to form diploid cells again. To this end, they secrete the pheromones α-factor and a-factor, sense the opposite pheromone and form protrusions in the direction of a potential mating partner. Importantly, they cannot move towards their mating partner, thus, the formation of the mating shape called shmoo is a significant growth investment.
Combining experimental studies of the cellular responses to mating factor and the resulting shape changes with spatial mathematical modeling, we investigated three major steps in the mating process. Specifically, we asked the following questions: (i) How do yeast cells communicate to form sharp gradients of pheromones allowing for precise decisions about whether to engage in mating or to continue dividing instead ? (ii) How do the individual cells sense the resulting gradients and how do they implement this information in order to decide about the spatial location of the polarization spot and later mating project? (iii) How do they translate the sensed information into shape changes, i.e. directed growth?
While we here use data and further information on yeast cells, the investigated processes occur in many cells under different circumstances. The developed theoretical concepts are therefore of general importance.
Mots-Clés : biomathematics
Codes MSC : Combining experimental studies of the cellular responses to mating factor and the resulting shape changes with spatial mathematical modeling, we investigated three major steps in the mating process. Specifically, we asked the following questions: (i) How do yeast cells communicate to form sharp gradients of pheromones allowing for precise decisions about whether to engage in mating or to continue dividing instead ? (ii) How do the individual cells sense the resulting gradients and how do they implement this information in order to decide about the spatial location of the polarization spot and later mating project? (iii) How do they translate the sensed information into shape changes, i.e. directed growth?
While we here use data and further information on yeast cells, the investigated processes occur in many cells under different circumstances. The developed theoretical concepts are therefore of general importance.
Mots-Clés : biomathematics
92C40 - Biochemistry, molecular biology
92C42 - Systems biology, networks
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Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Anglais Date de Publication : 23/03/2020 Date de Captation : 04/03/2020 Sous Collection : Research talks Catégorie arXiv : Quantitative Biology ; Dynamical Systems Domaine(s) : Analyse Numérique & Calcul Formel ; Systèmes Dynamiques & EDO Format : MP4 (.mp4) - HD Durée : 01:20:29 Audience : Chercheurs Download : https://videos.cirm-math.fr/2020-03-04_Klipp.mp4 
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Informations sur la Rencontre
Nom de la Rencontre : Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaireOrganisateurs de la Rencontre : Baudot, Anais ; Hubert, Florence ; Mossé, Brigitte ; Rémy, Elisabeth ; Tichit, Laurent ; Vignes, Matthieu Dates : 02/03/2020 - 06/03/2020 Année de la rencontre : 2020 URL de la Rencontre : https://conferences.cirm-math.fr/2305.html
Données de citation
DOI : 10.24350/CIRM.V.19620203Citer cette vidéo: Klipp, Edda (2020). Cell processes in space and time - exemplified with yeast mating. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19620203 URI : http://dx.doi.org/10.24350/CIRM.V.19620203 |
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Bibliographie
- RAMM, Beatrice, HEERMANN, Tamara, et SCHWILLE, Petra. The E. coli MinCDE system in the regulation of protein patterns and gradients. Cellular and Molecular Life Sciences, 2019, p. 1-29. - https://doi.org/10.1007/s00018-019-03218-x
- DIENER, Christian, SCHREIBER, Gabriele, GIESE, Wolfgang, et al. Yeast mating and image-based quantification of spatial pattern formation. PLoS computational biology, 2014, vol. 10, no 6. - https://dx.doi.org/10.1371%2Fjournal.pcbi.1003690
- KOFAHL, Bente et KLIPP, Edda. Modelling the dynamics of the yeast pheromone pathway. Yeast, 2004, vol. 21, no 10, p. 831-850. - https://doi.org/10.1002/yea.1122
- GIESE, Wolfgang, EIGEL, Martin, WESTERHEIDE, Sebastian, et al. Influence of cell shape, inhomogeneities and diffusion barriers in cell polarization models. Physical biology, 2015, vol. 12, no 6, p. 066014. - https://iopscience.iop.org/article/10.1088/1478-3975/12/6/066014/pdf
- GIESE, Wolfgang, MILICIC, Gregor, SCHRÖDER, Andreas, et al. Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction. PLoS computational biology, 2018, vol. 14, no 4, p. e1006075. - https://doi.org/10.1371/journal.pcbi.1006075
- BIDLINGMAIER, Scott et SNYDER, Michael. Regulation of polarized growth initiation and termination cycles by the polarisome and Cdc42 regulators. The Journal of cell biology, 2004, vol. 164, no 2, p. 207-218. - https://doi.org/10.1083/jcb.200307065
- GOLDENBOGEN, Björn, GIESE, Wolfgang, HEMMEN, Marie, et al. Dynamics of cell wall elasticity pattern shapes the cell during yeast mating morphogenesis. Open biology, 2016, vol. 6, no 9, p. 160136. - https://doi.org/10.1098/rsob.160136
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