ArticlePLoS computational biology2015
Elastohydrodynamics and Kinetics of Protein Patterning in the Immunological Synapse.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- Design of Crosslinking Antibodies For T-Cell Activation: Experimental and Computational Analysis of PD-1/CD137 Bispecific Agents.The AAPS journal · 2024Article
- Mechanical forces amplify TCR mechanotransduction in T cell activation and function.Applied physics reviews · 2024Review
- Characterization of mechanisms positioning costimulatory complexes in immune synapses.iScience · 2021Article
- Mechanisms for bacterial gliding motility on soft substrates.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Efficient simulation of thermally fluctuating biopolymers immersed in fluids on 1-micron, 1-second scales.Journal of computational physics · 2019Article
- Hydrodynamics of transient cell-cell contact: The role of membrane permeability and active protrusion length.PLoS computational biology · 2019Article
- Cell Surface Mechanochemistry and the Determinants of Bleb Formation, Healing, and Travel Velocity.Biophysical journal · 2016Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose a minimal mathematical model for the physical basis of membrane protein patterning in the immunological synapse (IS), which encompass membrane mechanics, protein binding kinetics and motion, and fluid flow in the synaptic cleft. Our theory leads to simple predictions for the spatial and temporal scales of protein cluster formation, growth and arrest as a function of membrane stiffness, rigidity and kinetics of the adhesive proteins, and the fluid flow in the synaptic cleft. Numerical simulations complement these scaling laws by quantifying the nucleation, growth and stabilization of proteins domains on the size of the cell. Direct comparison with experiment shows that passive elastohydrodynamics and kinetics of protein binding in the synaptic cleft can describe the short-time formation and organization of protein clusters, without evoking any active processes in the cytoskeleton. Despite the apparent complexity of the process, our analysis shows that just two dimensionless parameters characterize the spatial and temporal evolution of the protein pattern: a ratio of membrane elasticity to protein stiffness, and the ratio of a hydrodynamic time scale for fluid flow relative to the protein binding rate. A simple phase diagram encompasses the variety of patterns that can arise.
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