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Stability analysis of a state-dependent delay differential equation for cell maturation: analytical and numerical
Philipp Getto1, Mats Gyllenberg2, Yukihiko Nakata3
1Center for Dynamics, Technische Universität Dresden, 01062, Dresden, Germany.
This study models stem cell maturation using differential equations with state-dependent delays. We developed novel numerical methods to analyze stability, revealing critical changes with biological implications.
Area of Science:
- Mathematical Biology
- Cellular Dynamics
- Dynamical Systems
Background:
- Stem cell maturation is a complex process crucial for tissue regeneration and development.
- Understanding the dynamics of cell maturation requires sophisticated mathematical modeling.
- Previous models often simplified maturation rates or delays, limiting biological insights.
Purpose of the Study:
- To develop and validate a mathematical model for stem cell maturation incorporating state-dependent delays.
- To investigate the impact of maturation rate regulation on the stability of cellular equilibria.
- To establish a numerical framework for analyzing nonlinear delay-differential equations in biological systems.
Main Methods:
- Formulation of a differential equation model with state-dependent delay to describe cell maturity.
- Application of the principle of linearized stability for analytical insights.
- Extension of the pseudospectral discretization technique for approximating state-dependent delay equations.
- Numerical analysis of characteristic equations and stability boundaries in parameter planes.
Main Results:
- Demonstrated the applicability of linearized stability for the proposed model.
- Successfully adapted pseudospectral methods for nonlinear state-dependent delay equations, a novel application.
- Identified significant qualitative changes in stability boundaries based on model parameters.
- Validated numerical methods against fixed-delay equation cases.
Conclusions:
- The developed mathematical and numerical approaches provide a robust framework for studying stem cell maturation dynamics.
- The findings highlight how regulatory mechanisms in maturation rates can drastically alter system stability.
- This work offers a powerful tool for analyzing complex biological systems with delays, with potential implications for regenerative medicine and disease modeling.
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