Flow-based cytometric analysis of cell cycle via simulated cell populations.

ABSTRACT: We present a new approach to the handling and interrogating of large flow cytometry data where cell status and function can be described, at the population level, by global descriptors such as distribution mean or co-efficient of variation experimental data. Here we link the "real" data to initialise a computer simulation of the cell cycle that mimics the evolution of individual cells within a larger population and simulates the associated changes in fluorescence intensity of functional reporters. The model is based on stochastic formulations of cell cycle progression and cell division and uses evolutionary algorithms, allied to further experimental data sets, to optimise the system variables. At the population level, the in-silico cells provide the same statistical distributions of fluore

SUBMITTER: Brown MR 

PROVIDER: S-EPMC2855319 | biostudies-literature | 2010 Apr

REPOSITORIES: biostudies-literature