Equivalence framework for an age-structured multistage representation of the cell cycle

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Abstract

We develop theoretical equivalences between stochastic and deterministic models for populations of individual cells stratified by age. Specifically, we develop a hierarchical system of equations describing the full dynamics of an age-structured multistage Markov process for approximating cell cycle time distributions. We further demonstrate that the resulting mean behavior is equivalent, over large timescales, to the classical McKendrick-von Foerster integropartial differential equation. We conclude by extending this framework to a spatial context, facilitating the modeling of traveling wave phenomena and cell-mediated pattern formation. More generally, this methodology may be extended to myriad reaction-diffusion processes for which the age of individuals is relevant to the dynamics.
Original languageEnglish
Article number064411
Number of pages1
JournalPhysical Review E
Volume105
Issue number6-1
DOIs
Publication statusPublished - 1 Jun 2022

Funding

This research made use of the Balena High Performance Computing (HPC) Service at the University of Bath. Joshua C. Kynaston is supported by a scholarship from the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics at Bath (SAMBa), under Project No. EP/L015684/1.

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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