Osmotically-induced tension and the binding of N-BAR protein to lipid vesicles

Soft Matter ◽  
2016 ◽  
Vol 12 (8) ◽  
pp. 2465-2472 ◽  
Author(s):  
Jaime B. Hutchison ◽  
Aruni P. K. K. Karunanayake Mudiyanselage ◽  
Robert M. Weis ◽  
Anthony D. Dinsmore

The binding affinity of a curvature-sensing protein domain (N-BAR) is measured as a function of applied osmotic stress while the membrane curvature is nearly constant.

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
David Snead ◽  
Rachel T. Wragg ◽  
Jeremy S. Dittman ◽  
David Eliezer

2019 ◽  
Vol 116 (3) ◽  
pp. 92a
Author(s):  
Alexis Belessiotis-Richards ◽  
Molly M. Stevens ◽  
Alfredo Alexander-Katz

RSC Advances ◽  
2020 ◽  
Vol 10 (63) ◽  
pp. 38323-38327
Author(s):  
Yusuke Sato ◽  
Kazuki Kuwahara ◽  
Kenta Mogami ◽  
Kenta Takahashi ◽  
Seiichi Nishizawa

Fluorogenic probes based on membrane curvature sensing-amphipathic helical peptides have been developed for a marker-free exosome analysis.


2019 ◽  
Vol 218 (4) ◽  
pp. 1128-1137 ◽  
Author(s):  
Kevin S. Cannon ◽  
Benjamin L. Woods ◽  
John M. Crutchley ◽  
Amy S. Gladfelter

Cell shape is well described by membrane curvature. Septins are filament-forming, GTP-binding proteins that assemble on positive, micrometer-scale curvatures. Here, we examine the molecular basis of curvature sensing by septins. We show that differences in affinity and the number of binding sites drive curvature-specific adsorption of septins. Moreover, we find septin assembly onto curved membranes is cooperative and show that geometry influences higher-order arrangement of septin filaments. Although septins must form polymers to stay associated with membranes, septin filaments do not have to span micrometers in length to sense curvature, as we find that single-septin complexes have curvature-dependent association rates. We trace this ability to an amphipathic helix (AH) located on the C-terminus of Cdc12. The AH domain is necessary and sufficient for curvature sensing both in vitro and in vivo. These data show that curvature sensing by septins operates at much smaller length scales than the micrometer curvatures being detected.


2011 ◽  
Vol 286 (49) ◽  
pp. 42603-42614 ◽  
Author(s):  
Martin Borch Jensen ◽  
Vikram Kjøller Bhatia ◽  
Christine C. Jao ◽  
Jakob Ewald Rasmussen ◽  
Søren L. Pedersen ◽  
...  

2016 ◽  
Vol 21 (1) ◽  
pp. 40-64
Author(s):  
Michael Mikucki ◽  
Yongcheng Zhou

AbstractLipid vesicles appear ubiquitously in biological systems. Understanding how the mechanical and intermolecular interactions deform vesicle membranes is a fundamental question in biophysics. In this article we develop a fast algorithm to compute the surface configurations of lipid vesicles by introducing surface harmonic functions to approximate themembrane surface. This parameterization allows an analytical computation of the membrane curvature energy and its gradient for the efficient minimization of the curvature energy using a nonlinear conjugate gradient method. Our approach drastically reduces the degrees of freedom for approximating the membrane surfaces compared to the previously developed finite element and finite difference methods. Vesicle deformations with a reduced volume larger than 0.65 can be well approximated by using as small as 49 surface harmonic functions. The method thus has a great potential to reduce the computational expense of tracking multiple vesicles which deform for their interaction with external fields.


2016 ◽  
Vol 110 (3) ◽  
pp. 371a
Author(s):  
Morgan Chabanon ◽  
James Ho ◽  
Atul N. Parikh ◽  
Padmini Rangamani

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