Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach

Mathematical models of living cells have been successively refined with advancements in experimental techniques. A main concern is striking a balance between modelling power and the tractability of the associated mathematical analysis. In this work we model the dynamics for the transcription factor Hairy and enhancer of split-1 (Hes1), whose expression oscillates during neural development, and which critically enables stable fate decision in the embryonic brain. We design, parametrise, and analyse a detailed spatial model using ordinary differential equations (ODEs) over a grid capturing both transient oscillatory behaviour and fate decision on a population-level. We also investigate the relationship between this ODE model and a more realistic grid-based model involving intrinsic noise using mostly directly biologically motivated parameters. While we focus specifically on Hes1 in neural development, the approach of linking deterministic and stochastic grid-based models shows promise in modelling various biological processes taking place in a cell population. In this context, our work stresses the importance of the interpretability of complex computational models into a framework which is amenable to mathematical analysis.

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Publication Details

Journal
Bulletin of Mathematical Biology
Published
2025-05-16
DOI
https://doi.org/10.1007/s11538-025-01447-9
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
0.00

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article

Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach

Stefan Engblom, Gesina Menz
Bulletin of Mathematical Biology
Evolutionary Game Theory and Cooperation
article

Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach

Stefan Engblom, Gesina Menz
article en

Abstract

Mathematical models of living cells have been successively refined with advancements in experimental techniques. A main concern is striking a balance between modelling power and the tractability of the associated mathematical analysis. In this work we model the dynamics for the transcription factor Hairy and enhancer of split-1 (Hes1), whose expression oscillates during neural development, and which critically enables stable fate decision in the embryonic brain. We design, parametrise, and analyse a detailed spatial model using ordinary differential equations (ODEs) over a grid capturing both transient oscillatory behaviour and fate decision on a population-level. We also investigate the relationship between this ODE model and a more realistic grid-based model involving intrinsic noise using mostly directly biologically motivated parameters. While we focus specifically on Hes1 in neural development, the approach of linking deterministic and stochastic grid-based models shows promise in modelling various biological processes taking place in a cell population. In this context, our work stresses the importance of the interpretability of complex computational models into a framework which is amenable to mathematical analysis.

Bulletin of Mathematical BiologyVol. 87(6)
Uppsala University (SE), Science for Life Laboratory (SE), Informa (Sweden) (SE)
Vetenskapsrådet, Uppsala Universitet
Openalex Percentile: Top 86%
Evolutionary Game Theory and Cooperation
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Modelling Population-Level Hes1 Dynamics: Insights from a Multi-framework Approach — Stefan Engblom, Gesina Menz · Bulletin of Mathematical Biology (2025) | TGRS Research Map | TGRS