The intratumor heterogeneity has been recognized to characterize cancer cells impairing the efficacy of cancer treatments. We here propose an extension of constraint-based modeling approach in order to simulate metabolism of cell populations with the aim to provide a more complete characterization of these systems, especially focusing on the relationships among their components. We tested our methodology by using a toy-model and taking into account the main metabolic pathways involved in cancer metabolic rewiring. This toy-model is used as individual to construct a population model characterized by multiple interacting individuals, all having the same topology and stoichiometry, and sharing the same nutrients supply. We observed that, in our population, cancer cells cooperate with each other to reach a common objective, but without necessarily having the same metabolic traits. We also noticed that the heterogeneity emerging from the population model is due to the mismatch between the objective of the individual members and the objective of the entire population.

DI FILIPPO, M., Damiani, C., Colombo, R., Pescini, D., Mauri, G. (2016). Constraint-based modeling and simulation of cell populations [Working paper].

Constraint-based modeling and simulation of cell populations

DI FILIPPO, MARZIA
Primo
;
DAMIANI, CHIARA
Secondo
;
COLOMBO, RICCARDO;PESCINI, DARIO
Penultimo
;
MAURI, GIANCARLO
Ultimo
2016

Abstract

The intratumor heterogeneity has been recognized to characterize cancer cells impairing the efficacy of cancer treatments. We here propose an extension of constraint-based modeling approach in order to simulate metabolism of cell populations with the aim to provide a more complete characterization of these systems, especially focusing on the relationships among their components. We tested our methodology by using a toy-model and taking into account the main metabolic pathways involved in cancer metabolic rewiring. This toy-model is used as individual to construct a population model characterized by multiple interacting individuals, all having the same topology and stoichiometry, and sharing the same nutrients supply. We observed that, in our population, cancer cells cooperate with each other to reach a common objective, but without necessarily having the same metabolic traits. We also noticed that the heterogeneity emerging from the population model is due to the mismatch between the objective of the individual members and the objective of the entire population.
Working paper
No
Scientifica
Quantitative Biology - Quantitative Methods; Quantitative Biology - Quantitative Methods; Quantitative Biology - Tissues and Organs
English
DI FILIPPO, M., Damiani, C., Colombo, R., Pescini, D., Mauri, G. (2016). Constraint-based modeling and simulation of cell populations [Working paper].
DI FILIPPO, M; Damiani, C; Colombo, R; Pescini, D; Mauri, G
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/151799
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