Literature DB >> 16922683

A simple mathematical model of adaptation to high osmolarity in yeast.

Peter Gennemark1, Bodil Nordlander, Stefan Hohmann, Dag Wedelin.   

Abstract

We present a simple ordinary differential equation (ODE) model of the adaptive response to an osmotic shock in the yeast Saccharomyces cerevisiae. The model consists of two main components. First, a biophysical model describing how the cell volume and the turgor pressure are affected by varying extra-cellular osmolarity. The second component describes how the cell controls the biophysical system in order to keep turgor pressure, or equivalently volume, constant. This is done by adjusting the glycerol production and the glycerol outflow from the cell. The complete model consists of 4 ODEs, 3 algebraic equations and 10 parameters. The parameters are constrained from various literature sources and estimated from new and previously published absolute time series data on intra-cellular and total glycerol. The qualitative behaviour of the model has been successfully tested on data from other genetically modified strains as well as data for different input signals. Compared to a previous detailed model of osmoregulation, the main strength of our model is its lower complexity, contributing to a better understanding of osmoregulation by focusing on relationships which are obscured in the more detailed model. Besides, the low complexity makes it possible to obtain more reliable parameter estimates.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16922683

Source DB:  PubMed          Journal:  In Silico Biol        ISSN: 1386-6338


  18 in total

1.  The frequency dependence of osmo-adaptation in Saccharomyces cerevisiae.

Authors:  Jerome T Mettetal; Dale Muzzey; Carlos Gómez-Uribe; Alexander van Oudenaarden
Journal:  Science       Date:  2008-01-25       Impact factor: 47.728

2.  Modeling energy intake by adding homeostatic feedback and drug intervention.

Authors:  Peter Gennemark; Stephan Hjorth; Johan Gabrielsson
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-11-12       Impact factor: 2.745

3.  An integrated pathway system modeling of Saccharomyces cerevisiae HOG pathway: a Petri net based approach.

Authors:  Namrata Tomar; Olivia Choudhury; Ankush Chakrabarty; Rajat K De
Journal:  Mol Biol Rep       Date:  2012-10-21       Impact factor: 2.316

4.  Biophysical properties of Saccharomyces cerevisiae and their relationship with HOG pathway activation.

Authors:  Jörg Schaber; Miquel Angel Adrover; Emma Eriksson; Serge Pelet; Elzbieta Petelenz-Kurdziel; Dagmara Klein; Francesc Posas; Mattias Goksör; Mathias Peter; Stefan Hohmann; Edda Klipp
Journal:  Eur Biophys J       Date:  2010-06-19       Impact factor: 1.733

5.  A systems-level analysis of perfect adaptation in yeast osmoregulation.

Authors:  Dale Muzzey; Carlos A Gómez-Uribe; Jerome T Mettetal; Alexander van Oudenaarden
Journal:  Cell       Date:  2009-07-10       Impact factor: 41.582

6.  Simulating calcium influx and free calcium concentrations in yeast.

Authors:  Jiangjun Cui; Jaap A Kaandorp; Olufisayo O Ositelu; Veronica Beaudry; Alicia Knight; Yves F Nanfack; Kyle W Cunningham
Journal:  Cell Calcium       Date:  2008-09-10       Impact factor: 6.817

7.  A systems biology analysis of long and short-term memories of osmotic stress adaptation in fungi.

Authors:  Tao You; Piers Ingram; Mette D Jacobsen; Emily Cook; Andrew McDonagh; Thomas Thorne; Megan D Lenardon; Alessandro P S de Moura; M Carmen Romano; Marco Thiel; Michael Stumpf; Neil A R Gow; Ken Haynes; Celso Grebogi; Jaroslav Stark; Alistair J P Brown
Journal:  BMC Res Notes       Date:  2012-05-25

8.  Modelling reveals novel roles of two parallel signalling pathways and homeostatic feedbacks in yeast.

Authors:  Jörg Schaber; Rodrigo Baltanas; Alan Bush; Edda Klipp; Alejandro Colman-Lerner
Journal:  Mol Syst Biol       Date:  2012       Impact factor: 11.429

9.  The Dynamical Systems Properties of the HOG Signaling Cascade.

Authors:  Agnès Miermont; Jannis Uhlendorf; Megan McClean; Pascal Hersen
Journal:  J Signal Transduct       Date:  2011-02-07

10.  Cancer cell growth and survival as a system-level property sustained by enhanced glycolysis and mitochondrial metabolic remodeling.

Authors:  Lilia Alberghina; Daniela Gaglio; Cecilia Gelfi; Rosa M Moresco; Giancarlo Mauri; Paola Bertolazzi; Cristina Messa; Maria C Gilardi; Ferdinando Chiaradonna; Marco Vanoni
Journal:  Front Physiol       Date:  2012-09-12       Impact factor: 4.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.