Collective response of self-organized clusters of mechanosensitive channels

2011/01/02 by Ksenia Guseva, Marco Thiel, Ian Booth +4 · 1 citation
Biochemistry, Genetics and Molecular Biology · Chemistry · Engineering · Physics and Astronomy · #Artificial intelligence #Biology #Biophysics #Channel (broadcasting) #Chemistry #Cluster analysis #Computer network #Computer science #Force Microscopy Techniques and Applications #Gating #Ion channel #Lipid Membrane Structure and Behavior #Mechanosensitive channels #Nanopore and Nanochannel Transport Studies #Physics #physics.bio-ph #q-bio.SC

paper · pdf · doi:10.1103/physreve.83.020901

published as Phys. Rev. E 83, 020901(R) 2011 · 5 pages, 4 figures

arxiv created 2011/01/02 · openalex publication_date 2011/02/04 · arxiv updated 2020/03/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

Mechanosensitive channels are ion channels activated by membrane tension. We investigate the influence of the spatial distribution of bacterial mechanosensitive channels on activation (gating). Based on elastic short-range interactions we map this physical process onto an Ising-like model, which enables us to predict the clustering of channels and the effects of clustering on their gating. We conclude that the aggregation of channels and the consequent interactions among them leads to a global cooperative gating behavior with potentially dramatic consequences for the cell.

Citations

• Physical principles underlying the transduction of bilayer deformation forces during mechanosensitive channel gating
• The Influence of Retardation on the London-van der Waals Forces
• Equation of State Calculations by Fast Computing Machines
• Membrane-Protein Interactions in a Generic Coarse-Grained Model for Lipid Bilayers
• Classical Electrodynamics, 3rd ed.
• Crystal Statistics. I. A Two-Dimensional Model with an Order-Disorder Transition
• Self-Organized Periodicity of Protein Clusters in Growing Bacteria
• Classical Electrodynamics

Cited by

• Cooperative response and clustering: Consequences of membrane-mediated interactions among mechanosensitive channels