In this chapter we present an application of membrane systems to the study of intracellular diffusive processes. In particular, a class of membrane systems, called tau-DPP, is used for the modeling, simulation and analysis of bacterial chemotaxis. Two different models of this signal transduction pathway are presented. The first is a single volume model used to investigate the properties of bacterial chemotaxis and to analyze the effects of different perturbations (deletion of chemotactic proteins, addition of distinct amounts of external ligand, effect of different methylation states of the receptors) on the system dynamics. The second model represents a multivolume extension of the former, and it is exploited for the analysis of the diffusive processes that give rise to the formation of concentration gradients throughout the bacterial cytoplasm. The outcome of stochastic simulations of both models are exploited to analyze the process of synchronization of flagella, in order to evaluate the running and tumbling time intervals of bacterial cells
Cazzaniga, P., Besozzi, D., Pescini, D., Mauri, G. (2014). Molecular Diffusion and Compartmentalization in Signal Transduction Pathways: An Application of Membrane Systems to the Study of Bacterial Chemotaxis. In M. Gheorghe, P. Frisco, M. Pérez-Jiménez (a cura di), Applications of Membrane Computing in Systems and Synthetic Biology (pp. 65-96). Springer [10.1007/978-3-319-03191-0_3].
Molecular Diffusion and Compartmentalization in Signal Transduction Pathways: An Application of Membrane Systems to the Study of Bacterial Chemotaxis
BESOZZI, DANIELA;PESCINI, DARIO;MAURI, GIANCARLO
2014
Abstract
In this chapter we present an application of membrane systems to the study of intracellular diffusive processes. In particular, a class of membrane systems, called tau-DPP, is used for the modeling, simulation and analysis of bacterial chemotaxis. Two different models of this signal transduction pathway are presented. The first is a single volume model used to investigate the properties of bacterial chemotaxis and to analyze the effects of different perturbations (deletion of chemotactic proteins, addition of distinct amounts of external ligand, effect of different methylation states of the receptors) on the system dynamics. The second model represents a multivolume extension of the former, and it is exploited for the analysis of the diffusive processes that give rise to the formation of concentration gradients throughout the bacterial cytoplasm. The outcome of stochastic simulations of both models are exploited to analyze the process of synchronization of flagella, in order to evaluate the running and tumbling time intervals of bacterial cellsI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.