Literature DB >> 22677383

Observing the confinement potential of bacterial pore-forming toxin receptors inside rafts with nonblinking Eu(3+)-doped oxide nanoparticles.

Silvan Türkcan1, Jean-Baptiste Masson, Didier Casanova, Geneviève Mialon, Thierry Gacoin, Jean-Pierre Boilot, Michel R Popoff, Antigoni Alexandrou.   

Abstract

We track single toxin receptors on the apical cell membrane of MDCK cells with Eu-doped oxide nanoparticles coupled to two toxins of the pore-forming toxin family: α-toxin of Clostridium septicum and ε-toxin of Clostridium perfringens. These nonblinking and photostable labels do not perturb the motion of the toxin receptors and yield long uninterrupted trajectories with mean localization precision of 30 nm for acquisition times of 51.3 ms. We were thus able to study the toxin-cell interaction at the single-molecule level. Toxins bind to receptors that are confined within zones of mean area 0.40 ± 0.05 μm(2). Assuming that the receptors move according to the Langevin equation of motion and using Bayesian inference, we determined mean diffusion coefficients of 0.16 ± 0.01 μm(2)/s for both toxin receptors. Moreover, application of this approach revealed a force field within the domain generated by a springlike confining potential. Both toxin receptors were found to experience forces characterized by a mean spring constant of 0.30 ± 0.03 pN/μm at 37°C. Furthermore, both toxin receptors showed similar distributions of diffusion coefficient, domain area, and spring constant. Control experiments before and after incubation with cholesterol oxidase and sphingomyelinase show that these two enzymes disrupt the confinement domains and lead to quasi-free motion of the toxin receptors. Our control data showing cholesterol and sphingomyelin dependence as well as independence of actin depolymerization and microtubule disruption lead us to attribute the confinement of both receptors to lipid rafts. These toxins require oligomerization to develop their toxic activity. The confined nature of the toxin receptors leads to a local enhancement of the toxin monomer concentration and may thus explain the virulence of this toxin family.
Copyright © 2012 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22677383      PMCID: PMC3352999          DOI: 10.1016/j.bpj.2012.03.072

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  55 in total

1.  A Bayesian inference scheme to extract diffusivity and potential fields from confined single-molecule trajectories.

Authors:  Silvan Türkcan; Antigoni Alexandrou; Jean-Baptiste Masson
Journal:  Biophys J       Date:  2012-05-15       Impact factor: 4.033

2.  Membrane molecules mobile even after chemical fixation.

Authors:  Kenji A K Tanaka; Kenichi G N Suzuki; Yuki M Shirai; Shusaku T Shibutani; Manami S H Miyahara; Hisae Tsuboi; Miyako Yahara; Akihiko Yoshimura; Satyajit Mayor; Takahiro K Fujiwara; Akihiro Kusumi
Journal:  Nat Methods       Date:  2010-10-03       Impact factor: 28.547

3.  Quantification and correction of systematic errors due to detector time-averaging in single-molecule tracking experiments.

Authors:  Nicolas Destainville; Laurence Salomé
Journal:  Biophys J       Date:  2005-11-18       Impact factor: 4.033

Review 4.  Paradigm shift of the plasma membrane concept from the two-dimensional continuum fluid to the partitioned fluid: high-speed single-molecule tracking of membrane molecules.

Authors:  Akihiro Kusumi; Chieko Nakada; Ken Ritchie; Kotono Murase; Kenichi Suzuki; Hideji Murakoshi; Rinshi S Kasai; Junko Kondo; Takahiro Fujiwara
Journal:  Annu Rev Biophys Biomol Struct       Date:  2005

Review 5.  Glycoprotein motility and dynamic domains in fluid plasma membranes.

Authors:  M P Sheetz
Journal:  Annu Rev Biophys Biomol Struct       Date:  1993

6.  The SNARE motif is essential for the formation of syntaxin clusters in the plasma membrane.

Authors:  Jochen J Sieber; Katrin I Willig; Rainer Heintzmann; Stefan W Hell; Thorsten Lang
Journal:  Biophys J       Date:  2006-01-27       Impact factor: 4.033

7.  Microdomains of GPI-anchored proteins in living cells revealed by crosslinking.

Authors:  T Friedrichson; T V Kurzchalia
Journal:  Nature       Date:  1998-08-20       Impact factor: 49.962

8.  Sequestration of GPI-anchored proteins in caveolae triggered by cross-linking.

Authors:  S Mayor; K G Rothberg; F R Maxfield
Journal:  Science       Date:  1994-06-24       Impact factor: 47.728

9.  Single-molecule microscopy reveals plasma membrane microdomains created by protein-protein networks that exclude or trap signaling molecules in T cells.

Authors:  Adam D Douglass; Ronald D Vale
Journal:  Cell       Date:  2005-06-17       Impact factor: 41.582

10.  Barriers for lateral diffusion of transferrin receptor in the plasma membrane as characterized by receptor dragging by laser tweezers: fence versus tether.

Authors:  Y Sako; A Kusumi
Journal:  J Cell Biol       Date:  1995-06       Impact factor: 10.539

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  12 in total

1.  A Bayesian inference scheme to extract diffusivity and potential fields from confined single-molecule trajectories.

Authors:  Silvan Türkcan; Antigoni Alexandrou; Jean-Baptiste Masson
Journal:  Biophys J       Date:  2012-05-15       Impact factor: 4.033

2.  Receptor displacement in the cell membrane by hydrodynamic force amplification through nanoparticles.

Authors:  Silvan Türkcan; Maximilian U Richly; Cedric I Bouzigues; Jean-Marc Allain; Antigoni Alexandrou
Journal:  Biophys J       Date:  2013-07-02       Impact factor: 4.033

3.  Errors in Energy Landscapes Measured with Particle Tracking.

Authors:  Michał J Bogdan; Thierry Savin
Journal:  Biophys J       Date:  2018-07-03       Impact factor: 4.033

Review 4.  A Primer on the Bayesian Approach to High-Density Single-Molecule Trajectories Analysis.

Authors:  Mohamed El Beheiry; Silvan Türkcan; Maximilian U Richly; Antoine Triller; Antigone Alexandrou; Maxime Dahan; Jean-Baptiste Masson
Journal:  Biophys J       Date:  2016-03-29       Impact factor: 4.033

5.  A magnetic switch for the control of cell death signalling in in vitro and in vivo systems.

Authors:  Mi Hyeon Cho; Eun Jung Lee; Mina Son; Jae-Hyun Lee; Dongwon Yoo; Ji-wook Kim; Seung Woo Park; Jeon-Soo Shin; Jinwoo Cheon
Journal:  Nat Mater       Date:  2012-10-07       Impact factor: 43.841

Review 6.  The MAL Protein, an Integral Component of Specialized Membranes, in Normal Cells and Cancer.

Authors:  Armando Rubio-Ramos; Leticia Labat-de-Hoz; Isabel Correas; Miguel A Alonso
Journal:  Cells       Date:  2021-04-30       Impact factor: 6.600

7.  Oligomerization of Clostridium perfringens epsilon toxin is dependent upon caveolins 1 and 2.

Authors:  Christine M Fennessey; Jinsong Sheng; Donald H Rubin; Mark S McClain
Journal:  PLoS One       Date:  2012-10-02       Impact factor: 3.240

8.  The Myelin and Lymphocyte Protein MAL Is Required for Binding and Activity of Clostridium perfringens ε-Toxin.

Authors:  Kareem Rashid Rumah; Yinghua Ma; Jennifer R Linden; Myat Lin Oo; Josef Anrather; Nicole Schaeren-Wiemers; Miguel A Alonso; Vincent A Fischetti; Mark S McClain; Timothy Vartanian
Journal:  PLoS Pathog       Date:  2015-05-20       Impact factor: 6.823

9.  Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.

Authors:  Silvan Türkcan; Maximilian U Richly; Antigoni Alexandrou; Jean-Baptiste Masson
Journal:  PLoS One       Date:  2013-01-03       Impact factor: 3.240

10.  Bayesian decision tree for the classification of the mode of motion in single-molecule trajectories.

Authors:  Silvan Türkcan; Jean-Baptiste Masson
Journal:  PLoS One       Date:  2013-12-20       Impact factor: 3.240

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