Stochastic modeling for a better approach of the in vitro observed growth of colon adenocarcinoma cells

ABSTRACT

The definition of a stochastic model that reflects the cell growth and the use of computer software could be very useful in modelling the cell behaviour due to the possibility to introduce alterations in biology parameters to obtain different growth patterns without the use of laboratory material. Human colon adenocarcinoma cells were cultured and a growth curve was made by daily count of the cell number. Pielou modelling was applied for stochastic simulation of deterministic growth, making stochastic the cell division, the death rates and the transition time between division and death, by using different probabilities. A greater growth was produced when the cell division rate increased, considering the density dependence constant. In contrast, a lower growth was observed when density dependence increased, with a constant value of cell division rate. This type of modelling could be useful to simulate the cell response under different environmental conditions.