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Updated: Jan 18, 2026

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In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers
Published on: July 28, 2018
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3D pattern formation of a protein-membrane suspension
Amélie Chardac1, Michael M Norton1, Jonathan Touboul2
1Department of Physics, Brandeis University, Waltham, MA 02453.
Summary
Pattern-forming proteins create 3D structures on fragmented liposomes, not continuous membranes. This self-organization occurs at large scales, revealing new dynamical patterns and robust biological principles.
Area of Science:
- Biophysics
- Cell Biology
- Systems Biology
Background:
- Pattern-forming proteins regulate crucial cellular processes like division and polarity.
- These proteins typically interact with continuous 2D cell membranes to form patterns.
- The impact of membrane continuity on protein pattern formation remains poorly understood.
Purpose of the Study:
- To investigate how membrane discontinuity affects pattern formation by proteins.
- To explore the emergence of 3D patterns from fragmented lipid substrates.
- To characterize novel dynamical patterns and the underlying physical mechanisms.
Main Methods:
- Utilized the MinDE system, a model of pattern-forming membrane proteins.
- Dispersed the lipid substrate into submicrometer-sized diffusive liposomes.
- Systematically varied protein concentration, liposome size, and density.
- Employed simulations and linear stability analysis of a coarse-grained model.
Main Results:
- Generated extended 3D spatially organized patterns on fragmented liposomes, independent of membrane continuity.
- Observed novel 3D dynamical patterns, including traveling waves and spirals, at scales significantly larger than individual liposomes.
- Demonstrated that dispersed membrane properties rescale protein-membrane binding and diffusion rates.
Conclusions:
- Protein-membrane suspensions can generate complex 3D self-organization patterns.
- The MinDE system exhibits robust pattern-forming capabilities even on discontinuous substrates.
- Dispersed membranes offer a versatile platform for studying out-of-equilibrium self-organization beyond cellular contexts.
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