Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-017-02469-1
Title: Membrane shape-mediated wave propagation of cortical protein dynamics
Authors: Wu, Z
Su, M 
Tong, C 
Wu, M 
Liu, J
Keywords: cell
cytoplasm
experimental study
machinery
membrane
numerical model
protein
shape
theoretical study
wave propagation
brain cortex
cytoplasm
diffusion
rhythm
signal transduction
theoretical study
travel
velocity
animal
cell membrane
cell shape
physiology
rat
theoretical model
tumor cell line
actin
membrane protein
protein Cdc42
Actins
Animals
cdc42 GTP-Binding Protein
Cell Line, Tumor
Cell Membrane
Cell Shape
Membrane Proteins
Models, Theoretical
Rats
Issue Date: 2018
Publisher: Nature Publishing Group
Citation: Wu, Z, Su, M, Tong, C, Wu, M, Liu, J (2018). Membrane shape-mediated wave propagation of cortical protein dynamics. Nature Communications 9 (1) : 136. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-017-02469-1
Rights: Attribution 4.0 International
Abstract: Immune cells exhibit stimulation-dependent traveling waves in the cortex, much faster than typical cortical actin waves. These waves reflect rhythmic assembly of both actin machinery and peripheral membrane proteins such as F-BAR domain-containing proteins. Combining theory and experiments, we develop a mechanochemical feedback model involving membrane shape changes and F-BAR proteins that render the cortex an interesting dynamical system. We show that such cortical dynamics manifests itself as ultrafast traveling waves of cortical proteins, in which the curvature sensitivity-driven feedback always constrains protein lateral diffusion in wave propagation. The resulting protein wave propagation mainly reflects the spatial gradient in the timing of local protein recruitment from cytoplasm. We provide evidence that membrane undulations accompany these protein waves and potentiate their propagation. Therefore, membrane shape change and protein curvature sensitivity may have underappreciated roles in setting high-speed cortical signal transduction rhythms. © 2017 The Author(s).
Source Title: Nature Communications
URI: https://scholarbank.nus.edu.sg/handle/10635/178530
ISSN: 2041-1723
DOI: 10.1038/s41467-017-02469-1
Rights: Attribution 4.0 International
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