The contribution of age structure to cell population responses to targeted therapeutics

Abstract

Cells grown in culture act as a model system for analyzing the effects of anticancer compounds, which may affect cell behavior in a cell cycle position-dependent manner. Cell synchronization techniques have been generally employed to minimize the variation in cell cycle position. However, synchronization techniques are cumbersome and imprecise and the agents used to synchronize the cells potentially have other unknown effects on the cells. An alternative approach is to determine the age structure in the population and account for the cell cycle positional effects post hoc. Here we provide a formalism to use quantifiable age distributions from live cell microscopy experiments to parameterize an age-structured model of cell population response.

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Cited by in corpus (4)

• Stochastic multi-scale models of competition within heterogeneous cellular populations: simulation methods and mean-field analysis
• A novel mathematical model of heterogeneous cell proliferation
• An equivalence framework for an age-structured multi-stage representation of the cell cycle
• Stochastic branching at the edge: Individual-based modeling of tumor cell proliferation