Literature DB >> 18023904

Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intracellular guanine nucleotides pools.

Paolo Cazzaniga1, Dario Pescini, Daniela Besozzi, Giancarlo Mauri, Sonia Colombo, Enzo Martegani.   

Abstract

In the yeast Saccharomyces cerevisiae, the Ras/cAMP/PKA pathway is involved in the regulation of metabolism and cell cycle progression. The pathway is tightly regulated by several control mechanisms, as the feedback cycle ruled by the activity of phosphodiesterase. Here, we present a discrete mathematical model for the Ras/cAMP/PKA pathway that considers its principal cytoplasmic components and their mutual interactions. The tau-leaping algorithm is then used to perform stochastic simulations of the model. We investigate this system under various conditions, and we test how different values of several stochastic reaction constants affect the pathway behaviour. Finally, we show that the level of guanine nucleotides, GTP and GDP, could be relevant metabolic signals for the regulation of the whole pathway.

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Year:  2007        PMID: 18023904     DOI: 10.1016/j.jbiotec.2007.09.019

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  12 in total

1.  Analysis of signaling networks distributed over intracellular compartments based on protein-protein interactions.

Authors:  Olga Vasil'evna Popik; Olga Vladimirovna Saik; Evgeny Dmitrievich Petrovskiy; Björn Sommer; Ralf Hofestädt; Inna Nikolaevna Lavrik; Vladimir Aleksandrovich Ivanisenko
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

Review 2.  Life in the midst of scarcity: adaptations to nutrient availability in Saccharomyces cerevisiae.

Authors:  Bart Smets; Ruben Ghillebert; Pepijn De Snijder; Matteo Binda; Erwin Swinnen; Claudio De Virgilio; Joris Winderickx
Journal:  Curr Genet       Date:  2010-02       Impact factor: 3.886

3.  Toward a multiscale description of microvascular flow regulation: o(2)-dependent release of ATP from human erythrocytes and the distribution of ATP in capillary networks.

Authors:  Daniel Goldman; Graham M Fraser; Christopher G Ellis; Randy S Sprague; Mary L Ellsworth; Alan H Stephenson
Journal:  Front Physiol       Date:  2012-07-16       Impact factor: 4.566

4.  The role of feedback control mechanisms on the establishment of oscillatory regimes in the Ras/cAMP/PKA pathway in S. cerevisiae.

Authors:  Daniela Besozzi; Paolo Cazzaniga; Dario Pescini; Giancarlo Mauri; Sonia Colombo; Enzo Martegani
Journal:  EURASIP J Bioinform Syst Biol       Date:  2012-07-20

5.  Complex regulation of Hsf1-Skn7 activities by the catalytic subunits of PKA in Saccharomyces cerevisiae: experimental and computational evidences.

Authors:  Sergio Pérez-Landero; Santiago Sandoval-Motta; Claudia Martínez-Anaya; Runying Yang; Jorge Luis Folch-Mallol; Luz María Martínez; Larissa Ventura; Karina Guillén-Navarro; Maximino Aldana-González; Jorge Nieto-Sotelo
Journal:  BMC Syst Biol       Date:  2015-07-27

6.  LASSIE: simulating large-scale models of biochemical systems on GPUs.

Authors:  Andrea Tangherloni; Marco S Nobile; Daniela Besozzi; Giancarlo Mauri; Paolo Cazzaniga
Journal:  BMC Bioinformatics       Date:  2017-05-10       Impact factor: 3.169

7.  Model-guided optogenetic study of PKA signaling in budding yeast.

Authors:  Jacob Stewart-Ornstein; Susan Chen; Rajat Bhatnagar; Jonathan S Weissman; Hana El-Samad
Journal:  Mol Biol Cell       Date:  2016-11-09       Impact factor: 4.138

8.  Deterministic mathematical models of the cAMP pathway in Saccharomyces cerevisiae.

Authors:  Thomas Williamson; Jean-Marc Schwartz; Douglas B Kell; Lubomira Stateva
Journal:  BMC Syst Biol       Date:  2009-07-16

9.  Modeling mutant phenotypes and oscillatory dynamics in the Saccharomyces cerevisiae cAMP-PKA pathway.

Authors:  Kevin Gonzales; Omür Kayıkçı; David G Schaeffer; Paul M Magwene
Journal:  BMC Syst Biol       Date:  2013-05-17

10.  cuTauLeaping: a GPU-powered tau-leaping stochastic simulator for massive parallel analyses of biological systems.

Authors:  Marco S Nobile; Paolo Cazzaniga; Daniela Besozzi; Dario Pescini; Giancarlo Mauri
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

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