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Yeast cell modeling


 

Life of a cell is complex and not only governed by one specific type of network or process. We want to understand how different cellular processes interact to create a functioning cell. How does cell cycle communicate with metabolism? What happens to the translation rate when cellular volume increases? We describe the major processes in yeast during normal growth and upon stress with modular, multi-scale modeling. This allows to understand the systemic connections and mechanisms and explore subsequent effects of cellular perturbations on a systems level.

 

 

 

PEOPLE


 

PROJECTS


 

 

SELECTED PUBLICATIONS


  1. E Klipp, B Nordlander, R Krüger, P Gennemark and S Hohmann.
    Integrative model of the response of yeast to osmotic shock.
    Nat. Biotechnol. 23 (8):975–982, August 2005.
    URL

  2. K Tummler, C Kühn and E Klipp.
    Dynamic metabolic models in context: biomass backtracking.
    Integr. Biol. 7 (8):940–951, 2015.
    URL

  3. S Gerber, M Fröhlich, H Lichtenberg-Fraté, S Shabala, L Shabala and E Klipp.
    A thermodynamic model of monovalent cation homeostasis in the yeast Saccharomyces cerevisiae.
    PLoS Comput. Biol. 12 (1):e1004703, 2016.
    URL

  4. V Schützhold, J Hahn, K Tummler and E Klipp.
    Computational modeling of lipid metabolism in yeast.
    Front. Mol. Biosci. 3:57, 2016.
    URL

  5. T Spiesser, C Kühn, M Krantz and E Klipp.
    The MYpop toolbox: putting yeast stress responses in cellular context on single cell and population scales.
    Biotechnol. J. 11 (9):1158–1168, 2016.
    URL


 

 

 

 

FUNDING


EU - Marie Skłodowska-Curie Innovative Training Network

Caroline von Humboldt Professur

BMBF

DFG

 

   

COLLABORATIONS


Dittmar group, Luxembourg Institute of Health (Luxembourg)

Sauer group, ETH, Zurich (Switzerland)