Intrinsic noise reduces fluctuation frequencies in a cross-repressilator model motivated by stem cell differentiation

Abstract The dynamical effects of intrinsic noise in gene regulatory networks (GRNs) can be significant when the number of molecules is low. In previous work, we proposed a new conceptual model, comprising a network of three transcription factors (TFs) that mutually inhibit each other (i.e. a ‘cross-repressilator’, also referred to as a ‘toggle triad’), that offers a route to reconcile the direct fate restriction (DFR) and progressive fate restriction (PFR) hypotheses for stem cell fate choice. In the deterministic case, the cross-repressilator model generically displays three kinds of dynamics. Between the multipotent and fate-specified regimes there exists a third, initially unanticipated, intermediate oscillatory regime that provides a mechanism for environmental signals to influence fate choice. Here, we analyse in detail a stochastic version of the cross-repressilator model. Our findings reveal that, as the system size reduces, intrinsic noise systematically lowers the characteristic frequencies associated with fluctuations both in the multipotent state and in the oscillatory regime. Hence, while the cross-repressilator conceptual model points to a possible resolution of the DFR/PFR dichotomy, the effect of noise is to reduce the number of oscillatory cycles that would be present and thus to accelerate movement of the cell state towards differentiation during the fate specification process.

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Publication Details

Journal
Journal of The Royal Society Interface
Published
2026-11-04
DOI
https://doi.org/10.1098/rsif.2026.0013
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

Intrinsic noise reduces fluctuation frequencies in a cross-repressilator model motivated by stem cell differentiation

Andrea Rocco, Karen Camargo Sosa, Saeed Farjami, Robert Neil Kelsh et al.
Journal of The Royal Society Interface
Gene Regulatory Network Analysis
article

Intrinsic noise reduces fluctuation frequencies in a cross-repressilator model motivated by stem cell differentiation

Andrea Rocco, Karen Camargo Sosa, Saeed Farjami, Robert Neil Kelsh, Jonathan Dawes
article en

Abstract

Abstract The dynamical effects of intrinsic noise in gene regulatory networks (GRNs) can be significant when the number of molecules is low. In previous work, we proposed a new conceptual model, comprising a network of three transcription factors (TFs) that mutually inhibit each other (i.e. a ‘cross-repressilator’, also referred to as a ‘toggle triad’), that offers a route to reconcile the direct fate restriction (DFR) and progressive fate restriction (PFR) hypotheses for stem cell fate choice. In the deterministic case, the cross-repressilator model generically displays three kinds of dynamics. Between the multipotent and fate-specified regimes there exists a third, initially unanticipated, intermediate oscillatory regime that provides a mechanism for environmental signals to influence fate choice. Here, we analyse in detail a stochastic version of the cross-repressilator model. Our findings reveal that, as the system size reduces, intrinsic noise systematically lowers the characteristic frequencies associated with fluctuations both in the multipotent state and in the oscillatory regime. Hence, while the cross-repressilator conceptual model points to a possible resolution of the DFR/PFR dichotomy, the effect of noise is to reduce the number of oscillatory cycles that would be present and thus to accelerate movement of the cell state towards differentiation during the fate specification process.

Journal of The Royal Society InterfaceVol. 23(244)
University of Surrey (GB), University of Bath (GB)
Openalex Percentile: Top 24%
Gene Regulatory Network Analysis
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Intrinsic noise reduces fluctuation frequencies in a cross-repressilator model motivated by stem cell differentiation — Andrea Rocco, Karen Camargo Sosa, et al. · Journal of The Royal Society Interface (2026) | TGRS Research Map | TGRS