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February 12, 2026Annual Review of Biophysics1 citations

Pattern Formation Beyond Turing: Physical Principles of Mass-Conserving Reaction–Diffusion Systems

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EFErwin FreyHWHenrik Weyer

Key Points

  • The aim is to understand intracellular protein pattern formation through mass-conserving reaction–diffusion systems. It seeks to link theoretical insights with practical applications in cellular systems.
  • Theoretical framework development for pattern dynamics
  • Analysis of mass redistribution and interface motion
  • Geometric phase-space approach to connect local equilibria with global dynamics
  • Examination of the Min protein system in Escherichia coli for theory validation
  • Patterns govern critical cellular functions through dynamic protein distribution.
  • Emergence and evolution of patterns depend on mass flux and geometry.
  • Model adjustments highlight robust pattern formation and various dynamic behaviors both in vivo and in vitro.

Abstract

Intracellular protein patterns govern essential cellular functions by dynamically redistributing proteins between membrane-bound and cytosolic states, conserving their total numbers. This review presents a theoretical framework for understanding such patterns based on mass-conserving reaction–diffusion systems. The emergence, selection, and evolution of patterns are analyzed in terms of mass redistribution and interface motion, resulting in mesoscale laws of coarsening and wavelength selection. A geometric phase-space perspective provides a conceptual tool to link local reactive equilibria with global pattern dynamics through conserved mass fluxes. The Min protein system of Escherichia coli provides a paradigmatic example, enabling direct comparison between theory and experiment. Successive model refinements capture both the robustness of pattern formation and the diversity of dynamic regimes observed in vivo and in vitro. The Min system thus illustrates how to extract predictive, multiscale theory from biochemical detail, providing a foundation for understanding pattern formation in more complex and synthetic systems.

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Cite This Study

Frey et al. (2026) studied this question.

synapsesocial.com/papers/698d6dc15be6419ac0d52dedhttps://doi.org/10.1146/annurev-biophys-030822-031638
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