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. © 2007 Elsevier B.V. All rights reserved.
Cazzaniga, P., Pescini, D., Besozzi, D., Mauri, G., Colombo, S., Martegani, E. (2008). Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intercellular guanine nucleotides pools. JOURNAL OF BIOTECHNOLOGY, 133(3), 377-385 [10.1016/j.jbiotec.2007.09.019].
Modeling and stochastic simulation of the Ras/cAMP/PKA pathway in the yeast Saccharomyces cerevisiae evidences a key regulatory function for intercellular guanine nucleotides pools
CAZZANIGA, PAOLO;PESCINI, DARIO;BESOZZI, DANIELA;MAURI, GIANCARLO;COLOMBO, SONIA;MARTEGANI, ENZO
2008
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. © 2007 Elsevier B.V. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.