Literature DB >> 20365766

Diffusing proteins on a fluctuating membrane: analytical theory and simulations.

Ellen Reister-Gottfried1, Stefan M Leitenberger, Udo Seifert.   

Abstract

Using analytical calculations and computer simulations, we consider both the lateral diffusion of a membrane protein and the fluctuation spectrum of the membrane in which the protein is embedded. The membrane protein interacts with the membrane shape through its spontaneous curvature and bending rigidity. The lateral motion of the protein may be viewed as diffusion in an effective potential, hence, the effective mobility is always reduced compared to the case of free diffusion. Using a rigorous path-integral approach, we derive an analytical expression for the effective diffusion coefficient for small ratios of temperature and bending rigidity, which is the biologically relevant limit. Simulations show very good quantitative agreement with our analytical result. The analysis of the correlation functions contributing to the diffusion coefficient shows that the correlations between the stochastic force of the protein and the response in the membrane shape are responsible for the reduction. Our quantitative analysis of the membrane height correlation spectrum shows an influence of the protein-membrane interaction causing a distinctly altered wave-vector dependence compared to a free membrane. Furthermore, the time correlations exhibit the two relevant time scales of the system: that of membrane fluctuations and that of lateral protein diffusion with the latter typically much longer than the former. We argue that the analysis of the long-time decay of membrane height correlations can thus provide a new means to determine the effective diffusion coefficient of proteins in the membrane.

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Year:  2010        PMID: 20365766     DOI: 10.1103/PhysRevE.81.031903

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  8 in total

1.  Effect of hydroperoxides on red blood cell membrane mechanical properties.

Authors:  John P Hale; C Peter Winlove; Peter G Petrov
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

2.  Curvature correction to the mobility of fluid membrane inclusions.

Authors:  D R Daniels
Journal:  Eur Phys J E Soft Matter       Date:  2016-10-24       Impact factor: 1.890

3.  Instabilities and diffusion in a hydrodynamic model of a fluid membrane coupled to a thin active fluid layer.

Authors:  N Sarkar; A Basu
Journal:  Eur Phys J E Soft Matter       Date:  2012-11-13       Impact factor: 1.890

4.  Shape matters in protein mobility within membranes.

Authors:  François Quemeneur; Jon K Sigurdsson; Marianne Renner; Paul J Atzberger; Patricia Bassereau; David Lacoste
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-24       Impact factor: 11.205

5.  Seeing the Forest in Lieu of the Trees: Continuum Simulations of Cell Membranes at Large Length Scales.

Authors:  Kayla Sapp; Roie Shlomovitz; Lutz Maibaum
Journal:  Annu Rep Comput Chem       Date:  2014-12-04

6.  Suppressing membrane height fluctuations leads to a membrane-mediated interaction among proteins.

Authors:  Kayla Sapp; Lutz Maibaum
Journal:  Phys Rev E       Date:  2016-11-29       Impact factor: 2.529

7.  CryoEM reveals how the complement membrane attack complex ruptures lipid bilayers.

Authors:  Anaïs Menny; Marina Serna; Courtney M Boyd; Scott Gardner; Agnel Praveen Joseph; B Paul Morgan; Maya Topf; Nicholas J Brooks; Doryen Bubeck
Journal:  Nat Commun       Date:  2018-12-14       Impact factor: 14.919

Review 8.  Modeling Receptor Motility along Advecting Lipid Membranes.

Authors:  Matteo Arricca; Alberto Salvadori; Claudia Bonanno; Mattia Serpelloni
Journal:  Membranes (Basel)       Date:  2022-06-25
  8 in total

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