Paper Info
Title
Constraint-Based Modeling and Simulation of Cell Populations.
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.
Year
DOI
Venue
2016
10.1007/978-3-319-57711-1_11
ADVANCES IN ARTIFICIAL LIFE, EVOLUTIONARY COMPUTATION, AND SYSTEMS CHEMISTRY, WIVACE 2016
Field
DocType
Volume
Flux distribution,Population,Cancer cell,Biology,Bioinformatics,Computational biology,Constraint based modeling,Population model,Cancer,Flux balance analysis
Conference
708
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Marzia Di Filippo1133.89
chiara damiani272.98
Riccardo Colombo3314.89
Dario Pescini427425.92
Giancarlo Mauri52106297.38