Literature DB >> 23915358

Single-particle tracking reveals switching of the HIV fusion peptide between two diffusive modes in membranes.

Maria Ott1, Yechiel Shai, Gilad Haran.   

Abstract

Fusion of the HIV membrane with that of a target T cell is an essential first step in the viral infection process. Here we describe single-particle tracking (SPT) studies of a 16-amino-acid peptide derived from the HIV fusion protein (FP16), as it interacts with a supported lipid bilayer. FP16 was found to spontaneously insert into and move within the bilayer with two different modes of diffusion, a fast mode with a diffusion coefficient typical of protein motion in membranes and a much slower one. We observed transitions between the two modes: slow peptides were found to speed up, and fast peptides could slow down. Hidden Markov model analysis was employed as a method for the identification of the two modes in single-molecule trajectories and analysis of their interconversion rates. Surprisingly, the diffusion coefficients of the two modes were found to depend differently on solution viscosity. Thus, whereas the fast diffusive mode behaved as predicted by the Saffman-Delbrück theory, the slow mode behaved according to the Stokes-Einstein relation. To further characterize the two diffusive modes, FP16 molecules were studied in bilayers cooled through their liquid crystalline-to-gel phase transition. Our analysis suggested that the slow diffusive mode might originate from the formation of large objects, such as lipid domains or local protrusions, which are induced by the peptides and move together with them.

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Year:  2013        PMID: 23915358     DOI: 10.1021/jp4039418

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  10 in total

1.  Classification of dynamical diffusion states in single molecule tracking microscopy.

Authors:  Peter J Bosch; Johannes S Kanger; Vinod Subramaniam
Journal:  Biophys J       Date:  2014-08-05       Impact factor: 4.033

2.  Single-Molecule Tracking and Its Application in Biomolecular Binding Detection.

Authors:  Cong Liu; Yen-Liang Liu; Evan P Perillo; Andrew K Dunn; Hsin-Chih Yeh
Journal:  IEEE J Sel Top Quantum Electron       Date:  2016-05-17       Impact factor: 4.544

3.  pH-dependent vesicle fusion induced by the ectodomain of the human immunodeficiency virus membrane fusion protein gp41: Two kinetically distinct processes and fully-membrane-associated gp41 with predominant β sheet fusion peptide conformation.

Authors:  Punsisi U Ratnayake; Kelly Sackett; Matthew J Nethercott; David P Weliky
Journal:  Biochim Biophys Acta       Date:  2014-07-28

Review 4.  Single-molecule fluorescence imaging: Generating insights into molecular interactions in virology.

Authors:  Sunaina Banerjee; Satyaghosh Maurya; Rahul Roy
Journal:  J Biosci       Date:  2018-07       Impact factor: 2.795

5.  Receptor tyrosine kinase MET ligand-interaction classified via machine learning from single-particle tracking data.

Authors:  Sebastian Malkusch; Johanna V Rahm; Marina S Dietz; Mike Heilemann; Jean-Baptiste Sibarita; Jörn Lötsch
Journal:  Mol Biol Cell       Date:  2022-02-16       Impact factor: 3.612

6.  Extracting Diffusive States of Rho GTPase in Live Cells: Towards In Vivo Biochemistry.

Authors:  Peter K Koo; Matthew Weitzman; Chandran R Sabanaygam; Kenneth L van Golen; Simon G J Mochrie
Journal:  PLoS Comput Biol       Date:  2015-10-29       Impact factor: 4.475

7.  Resolving mixed mechanisms of protein subdiffusion at the T cell plasma membrane.

Authors:  Yonatan Golan; Eilon Sherman
Journal:  Nat Commun       Date:  2017-06-20       Impact factor: 14.919

8.  Fundamentals of the logarithmic measure for revealing multimodal diffusion.

Authors:  Benjamin A Dalton; Ivo F Sbalzarini; Itsuo Hanasaki
Journal:  Biophys J       Date:  2021-01-14       Impact factor: 4.033

9.  A Hidden Markov Model for Detecting Confinement in Single-Particle Tracking Trajectories.

Authors:  Paddy J Slator; Nigel J Burroughs
Journal:  Biophys J       Date:  2018-09-13       Impact factor: 4.033

10.  Membrane anchoring facilitates colocalization of enzymes in plant cytochrome P450 redox systems.

Authors:  Tomas Laursen; Hiu Yue Monatrice Lam; Kasper Kildegaard Sørensen; Pengfei Tian; Cecilie Cetti Hansen; Jay T Groves; Knud Jørgen Jensen; Sune M Christensen
Journal:  Commun Biol       Date:  2021-09-09
  10 in total

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