Robustness and fragility in the yeast High Osmolarity Glycerol (HOG) signal transduction pathway
Paper in proceeding, 2009

Cellular signalling networks integrate environmental stimuli with information on cellular status. These networks must be robust against stochastic fluctuations in stimuli as well as in the amounts of signalling components. Here, we challenge the yeast HOG signal transduction pathway with systematic perturbations in components’ expression levels implemented by a “genetic tug-of-war” methodology under various external conditions in search of nodes of fragilities. We observe a substantially higher frequency of fragile nodes in this signal transduction pathway than has been observed for other cellular processes. These fragilities disperse without any clear pattern over biochemical functions or location in pathway topology, with the most sensitive node being the scaffold protein PBS2. They are also largely independent of pathway activation by external stimuli. However, the strongest toxicities are caused by pathway hyperactivation. In silico analysis highlights the impact of model structure on in silico robustness, and suggests complex formation and scaffolding as important contributors to the observed fragility patterns. Thus, in vivo robustness data can be used to discriminate and improve mathematical models.

Author

Lars-Göran Ottosson

University of Gothenburg

Marcus Krantz

University of Gothenburg

Doryaneh Ahmadpour

University of Gothenburg

Jonas Warringer

University of Gothenburg

Christian Waltermann

Bodil Nordlander

University of Gothenburg

Edda Klipp

Anders Blomberg

University of Gothenburg

Stefan Hohmann

University of Gothenburg

Hiroaki Kitano

Abstracts of the 24th International Conference on Yeast Genetics and Molecular Biology (Supplement to Yeast Volume 26 Issue S1), 25th International Conference on Yeast Genetics & Molecular Biology, July 19-24, Manchester, UK

Vol. 26 Issue S1 S19-S259

Subject Categories

Cell Biology

Biochemistry and Molecular Biology

More information

Created

10/10/2017