Journal article

Stochastic models of cell invasion with fluorescent cell cycle indicators

Matthew J Simpson, Wang Jin, Sean T Vittadello, Tamara A Tambyah, Jacob M Ryan, Gency Gunasingh, Nikolas K Haass, Scott W McCue

Physica A Statistical Mechanics and its Applications | ELSEVIER SCIENCE BV | Published : 2018

Abstract

Fluorescent cell cycle labelling in cell biology experiments provides real time information about the location of individual cells, as well as the phase of the cell cycle of individual cells. We develop a stochastic, lattice-based random walk model of a two-dimensional scratch assay where the total population is composed of three distinct subpopulations which we visualise as red, yellow and green subpopulations. Our model mimics FUCCI technology in which cells in the G1 phase of the cell cycle fluoresce red, cells in the early S phase fluoresce yellow, and cells in the S/G2/M phase fluoresce green. The model is an exclusion process so that any potential motility or proliferation event that w..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council, Australia


Awarded by National Health and Medical Research Council, Australia


Funding Acknowledgements

This work is supported by the Australian Research Council, Australia (DP170100474). WI is supported by a QUT Vice Chancellor's Research Fellowship, Australia. JMR and TAT are both supported by the Australian Mathematical Sciences Institute (AMSI), Australia through an AMSI Vacation research scholarship. NKH is a Cameron fellow of the Melanoma and Skin Cancer Research Institute, Australia, and is supported by the National Health and Medical Research Council, Australia (APP1084893). We thank four referees for their helpful comments and suggestions.