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Updated: Sep 4, 2025

En Face Endocardial Cushion Preparation for Planar Morphogenesis Analysis in Mouse Embryos
Published on: July 27, 2022
Morphogen-directed cell fate boundaries: slow passage through bifurcation and the role of folded saddles
Kyle C A Wedgwood1, Peter Ashwin2
1Department of Mathematics, University of Exeter, Exeter EX4 4QF, Devon, UK; EPSRC Hub for Quantitative Modelling in Healthcare, University of Exeter, Exeter EX4 4QF, Devon, UK; Living Systems Institute, University of Exeter, Exeter EX4 4QD, Devon, UK.
Abstract:
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.
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