Eukaryotic Unicellular Organism Biology – Systems Biology of the Control of Cell Growth and Proliferation

The overall objective of UNICELLSYS is a quantitative understanding of fundamental characteristics of eukaryotic unicellular organism biology: how cell growth and proliferation are controlled and coordinated by extracellular and intrinsic stimuli. Achieving an understanding of the principles according to which bio-molecular systems function requires integrating quantitative experimentation with simulations of dynamic mathematical models. UNICELLSYS brings together a consortium of leading European experimental and computational systems biologists that will study cell growth and proliferation at the levels of cell population, single cell, cellular network, large-scale dynamic systems and functional module. Building computational reconstructions and dynamic models will involve different precise quantitative measurements as well as complementary approaches of mathematical modelling. A major challenge will be the generation of comprehensive dynamic models of the entire control system of cell growth and proliferation, which will require integration of smaller sub-models and reduction of complexity. Implementation of the models will allow observing responses to altered growth conditions zooming in seamlessly from populations consisting of cells of different cell cycle stage via genome-wide molecular networks, large dynamic systems to detailed functional modules. Employing computational simulations combined with experimentation will allow discovering new and emerging principles of bio-molecular organisation and analysing the control mechanisms of cell growth and proliferation. The project will deliver new knowledge on fundamental eukaryotic biology as well as tools for quantitative experimentation and modelling. Detailed plans for dissemination and exploitation will ensure that UNICELLSYS will have major impact on the development of Systems Biology in Europe ensuring a competitive advantage of Europe in dynamic quantitative modelling of bio-molecular processes.

Klipp, Edda Prof. Dr. rer. nat. Dr. h.c. (Details) (Theoretische Biophysik)

Projektstart: 01/2009
Projektende: 03/2013

Schaber J, Adrover MA, Eriksson E, Pelet S, Petelenz-Kurdziel E, Klein D, Posas F, Goksör M, Peter M, Hohmann S, Klipp E. 2010. Biophysical properties of Saccharomyces cerevisiae and their relationship with HOG pathway activation. Eur Biophys J. 2010 Jun 19. [Epub ahead of print]PMID: 20563574Zi Z, Liebermeister W, and Klipp E. 2010. A quantitative study of the Hog1 MAPK response to fluctuating osmotic stress in Saccharomyces cerevisiae. PLoS One, 5(3): e9522.Schulz M, Bakker BM, and Klipp E. 2009. Tide: a software fort he systematic scanning of drug targets in kinetic network models. BMC Bioinformatics. 10:344.Alfieri R, Barberis M, Chiaradonna F, Gaglio D, Milanesi L, Vanoni M, Klipp E, and Alberghina L. 2009. Towards a systems biology approach to mammalian cell cycle: modeling the entrance into S phase of quiescent fibroblasts after serum stimulation. BMC Bioinformatics, 10 (Suppl 12): S16. doi: 10.1186/1471-2105-10-S12-S16.

Zuletzt aktualisiert 2020-25-11 um 15:09