Français
Cell processes in space and time - exemplified with yeast mating
Multi angle
Authors : Klipp, Edda (Author of the conference)
CIRM (Publisher )
92C40 - Biochemistry, molecular biology
92C42 - Systems biology, networks
CIRM (Publisher )
Loading the player...
|
Abstract :
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.
Keywords : biomathematics
MSC Codes : 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.
Keywords : biomathematics
92C40 - Biochemistry, molecular biology
92C42 - Systems biology, networks
|
Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 23/03/2020 Conference Date : 04/03/2020 Subseries : Research talks arXiv category : Quantitative Biology ; Dynamical Systems Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Dynamical Systems & ODE Format : MP4 (.mp4) - HD Video Time : 01:20:29 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2020-03-04_Klipp.mp4 
|
Information on the Event
Event Title : Thematic Month Week 5: Networks and Molecular Biology / Mois thématique Semaine 5 : Réseaux et biologie moléculaireEvent Organizers : Baudot, Anais ; Hubert, Florence ; Mossé, Brigitte ; Rémy, Elisabeth ; Tichit, Laurent ; Vignes, Matthieu Dates : 02/03/2020 - 06/03/2020 Event Year : 2020 Event URL : https://conferences.cirm-math.fr/2305.html
Citation Data
DOI : 10.24350/CIRM.V.19620203Cite this video as: 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 |
See Also
- [Multi angle] Part 2 - Dynamic logic models complement machine learning for personalized medicine / Author of the conference Saez-Rodriguez, Julio.
- [Multi angle] Matrix factorisation techniques for data integration / Author of the conference Lê Cao, Kim-Anh.
- [Post-edited] Network-guided feature selection in high-dimensional genomic data / Author of the conference Azencott, Chloé.
- [Multi angle] Network approaches for personalized medicine / Author of the conference Martinez-Rodriguez, Maria.
- [Multi angle] Learning interpretable networks from multivariate information in biological and clinical data / Author of the conference Isambert, Hervé.
- [Multi angle] From data to biological processes: interactions, networks and analyses, to understand cellular functions / Author of the conference Brun, Christine.
- [Multi angle] Part 1 - Networks of prior knowledge as frames to understand complex biological data / Author of the conference Saez-Rodriguez, Julio.
Bibliography
- 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
Imagette Video
