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Morphogen-directed cell fate boundaries: slow passage through bifurcation and the role of folded saddles

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posted on 2025-08-01, 14:55 authored by KCA Wedgwood, P Ashwin
One of the fundamental mechanisms in embryogenesis is the process by which cells differentiate and create tissues and structures important for functioning as a multicellular organism. Morphogenesis involves diffusive process of chemical signalling involving morphogens that pre-pattern the tissue. These morphogens influence cell fate through a highly nonlinear process of transcriptional signalling. In this paper, we consider this multiscale process in an idealised model for a growing domain. We focus on intracellular processes that lead to robust differentiation into two cell lineages through interaction of a single morphogen species with a cell fate variable that undergoes a bifurcation from monostability to bistability. In particular, we investigate conditions that result in successful and robust pattern formation into two well-separated domains, as well as conditions where this fails and produces a pinned boundary wave where only one part of the domain grows. We show that successful and unsuccessful patterning scenarios can be characterised in terms of presence or absence of a folded saddle singularity for a system with two slow variables and one fast variable; this models the interaction of slow morphogen diffusion, slow parameter drift through bifurcation and fast transcription dynamics. We illustrate how this approach can successfully model acquisition of three cell fates to produce three-domain “French flag” patterning, as well as for a more realistic model of the cell fate dynamics in terms of two mutually inhibiting transcription factors.

Funding

EP/T017856/1

Engineering and Physical Sciences Research Council (EPSRC)

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© 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Notes

This is the final version. Available on open access from Elsevier via the DOI in this record

Journal

Journal of Theoretical Biology

Publisher

Elsevier

Version

  • Version of Record

Language

en

FCD date

2022-07-11T13:21:01Z

FOA date

2022-07-27T14:23:50Z

Citation

Vol. 549, article 111220

Department

  • Mathematics and Statistics

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