A codimension-two bifurcation organizes the dynamics of the transition between multipotent and fate-specified cell states

Abstract Understanding the process of fate specification, i.e. how multipotent stem cells are able to transition into one of several different cell types, is a central question in developmental biology. In our previous work we proposed a mathematical model for this transition which, perhaps surprisingly, appeared generically to include an oscillatory regime in the path from multipotent cells to fate-specified states. Here we carry out a detailed mathematical analysis of two variants of a generic gene regulatory network (GRN). We show how symmetry organizes many aspects of the model behaviour and reveal the role of a specific codimension-two bifurcation point as an organizing centre. The central role of symmetry implies that qualitatively equivalent results would be obtained regardless of the modelling details. The model-independent nature of our results makes them of substantial wider interest and is supported by numerical work. We conclude that the overall sequence of bifurcations that create and destroy the oscillations is generically and robustly organized by this codimension-two point. In the stem cell context the persistence of the oscillatory regime augments the perspective suggested by Waddington’s epigenetic landscape by highlighting the potentially dynamic nature of cell fate transitions.

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Publication Details

Journal
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2026-04-15
DOI
https://doi.org/10.1098/rspa.2025.0935
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A codimension-two bifurcation organizes the dynamics of the transition between multipotent and fate-specified cell states

Andrea Rocco, Nathan Schofield, Saeed Farjami, Robert N. Kelsh et al.
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences
Gene Regulatory Network Analysis
article

A codimension-two bifurcation organizes the dynamics of the transition between multipotent and fate-specified cell states

Andrea Rocco, Nathan Schofield, Saeed Farjami, Robert N. Kelsh, Jonathan Dawes
article en

Abstract

Abstract Understanding the process of fate specification, i.e. how multipotent stem cells are able to transition into one of several different cell types, is a central question in developmental biology. In our previous work we proposed a mathematical model for this transition which, perhaps surprisingly, appeared generically to include an oscillatory regime in the path from multipotent cells to fate-specified states. Here we carry out a detailed mathematical analysis of two variants of a generic gene regulatory network (GRN). We show how symmetry organizes many aspects of the model behaviour and reveal the role of a specific codimension-two bifurcation point as an organizing centre. The central role of symmetry implies that qualitatively equivalent results would be obtained regardless of the modelling details. The model-independent nature of our results makes them of substantial wider interest and is supported by numerical work. We conclude that the overall sequence of bifurcations that create and destroy the oscillations is generically and robustly organized by this codimension-two point. In the stem cell context the persistence of the oscillatory regime augments the perspective suggested by Waddington’s epigenetic landscape by highlighting the potentially dynamic nature of cell fate transitions.

Proceedings of the Royal Society A Mathematical Physical and Engineering SciencesVol. 482(2336)
The Pirbright Institute (GB), University of Surrey (GB), University of Oxford (GB), University of Bath (GB)
Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 10%
Gene Regulatory Network Analysis
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A codimension-two bifurcation organizes the dynamics of the transition between multipotent and fate-specified cell states — Andrea Rocco, Nathan Schofield, et al. · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2026) | TGRS Research Map | TGRS