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Spatial modeling


 

How do cells orient themselves spatially in a complex environment? What are the underlying physical mechanisms that cause morphogenetic changes? How do cells break symmetry? How do haploid yeast cells find their mating partner? Using spatial simulation approaches such as partial differential equations or finite element methods, we investigate the dynamics of yeast cells in space and time.

 

 

Image modified from Goldenbogen et al., Open Biol (2016), CC BY 4.0 license

   

 

PEOPLE


 

PROJECTS


 

SELECTED PUBLICATIONS


 

  1. C Diener, G Schreiber, W Giese, G Del Rio, A Schröder and E Klipp.
    Yeast mating and image-based quantification of spatial pattern formation.
    PLoS Comput. Biol. 10 (6):e1003690, June 2014.
    URL

  2. W Giese, M Eigel, S Westerheide, C Engwer and E Klipp.
    Influence of cell shape, inhomogeneities and diffusion barriers in cell polarization models.
    Phys. Biol. 12 (6):066014, 2015.
    URL

  3. B Goldenbogen, W Giese, M Hemmen, J Uhlendorf, A Herrmann and E Klipp.
    Dynamics of cell wall elasticity pattern shapes the cell during yeast mating morphogenesis.
    Open Biol. 6 (9):160136, 2016.
    URL

  4. Giese W, Milicic G, Schröder A and Klipp E..
    Spatial modeling of the membrane-cytosolic interface in protein kinase signal transduction..
    PLoS Comput. Biol. 14(4)(4):1-27, 2018.
    URL

 

 

 

FUNDING


DFG

   

COLLABORATIONS


Robert Arlinghaus group, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin (Germany)

Leibniz-Institut für Zoologie und Wildtierforschung (IZW) Berlin (Germany)