Survival and invasion dynamics in cell populations: an analytical framework for threshold behaviour in nonlinear age-structured models
St\'ephanie M. C. Abo, Ruth E. Baker

TL;DR
This paper develops an analytical framework for age-structured cell populations, revealing how age-dependent division rates influence invasion speed, steady states, and survival conditions, contrasting with classical models.
Contribution
It introduces a moment-hierarchy model incorporating age-dependent division rates, providing explicit formulas and fundamental principles for invasion dynamics.
Findings
Age structure reduces carrying capacity.
Invasion speeds are slower with age-dependent division.
Survival condition matches invasion speed positivity.
Abstract
Cell populations invade through a combination of proliferation and motility. Proliferation depends on the internal timing of cell division: how long cells take to complete the cell cycle. This timing varies substantially within (and across) cell types, creating age structure where cells at different times since their last division have different propensities to divide. Classical mathematical models of cell spreading treat division as memoryless and predict exponential cell-cycle-time distributions. Lineage tracing, by contrast, reveals peaked, gamma-like distributions that indicate a maturation delay leading to a fertility window. This gap motivates a modelling framework that incorporates age-dependent cell division rates while retaining analytical tractability. We address this through a moment-hierarchy framework that tracks time since cell division, with age resetting to zero at…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Gene Regulatory Network Analysis · Cellular Mechanics and Interactions
