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Integrative model of the response of yeast to osmotic shock
Author(s): Klipp E, Nordlander B, Kruger R, Gennemark P, Hohmann S
Source: NATURE BIOTECHNOLOGY    Volume: 23    Issue: 8    Pages: 975-982    Published: AUG 2005  
Times Cited: 85     References: 48     
Abstract: Integration of experimental studies with mathematical modeling allows insight into systems properties, prediction of perturbation effects and generation of hypotheses for further research. We present a comprehensive mathematical description of the cellular response of yeast to hyperosmotic shock. The model integrates a biochemical reaction network comprising receptor stimulation, mitogen-activated protein kinase cascade dynamics, activation of gene expression and adaptation of cellular metabolism with a thermodynamic description of volume regulation and osmotic pressure. Simulations agree well with experimental results obtained under different stress conditions or with specific mutants. The model is predictive since it suggests previously unrecognized features of the system with respect to osmolyte accumulation and feedback control, as confirmed with experiments. The mathematical description presented is a valuable tool for future studies on osmoregulation in yeast and - with appropriate modifications - other organisms. It also serves as a starting point for a comprehensive description of cellular signaling.
Document Type: Article
Language: English
Reprint Address: Klipp, E (reprint author), Max Planck Inst Mol Genet, Dept Vertebrate Genom, Berlin Ctr Genome Based Bioinformat, Ihnestr 73, D-14195 Berlin, Germany
Addresses:
1. Max Planck Inst Mol Genet, Dept Vertebrate Genom, Berlin Ctr Genome Based Bioinformat, D-14195 Berlin, Germany
2. Univ Gothenburg, Dept Cell & Mol Biol Microbiol, S-40530 Gothenburg, Sweden
3. Humboldt Univ, Inst Biol, D-10115 Berlin, Germany
4. Chalmers Univ Technol, Dept Comp Sci & Engn, S-41296 Gothenburg, Sweden
Publisher: NATURE PUBLISHING GROUP, 345 PARK AVENUE SOUTH, NEW YORK, NY 10010-1707 USA
Subject Category: Biotechnology & Applied Microbiology
IDS Number: 952QF
ISSN: 1087-0156
DOI: 10.1038/nbt1114
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