Investigating the Cell Membrane via Single Particle Tracking, Bayesian Inference and Hydrodynamic Force Application

Maximilian Richly 1, * Silvan Türkcan 1 Cédric Bouzigues 1 Michel R. Popoff 2 Jean-Baptiste Masson 3 Jean-Marc Allain 4 Antigoni Alexandrou 1
* Auteur correspondant
1 LOB - Laboratoire d'optique et biosciences
2 Bactéries anaérobies et Toxines
3 Physique des Systèmes biologiques
4 LMS - Laboratoire de mécanique des solides
Abstract : We investigate the potential felt by membrane receptors inside membrane microdomains via tracking of single receptors labelled with rare-earth doped luminescent nanoparticles and Bayesian inference analysis of the recorded trajectories. We demonstrated that the potential felt by peptidic toxin receptors confined in lipid rafts is well described by a second-order polynomial potential, possibly due to an inhomogeneous lipid and protein distribution [Türkcan et al., Biophys. J. 2012] In contrast, the potential experienced by transferrin receptors in cytoskeleton-delimited microdomains is localized at the border of the confinement domain.
Type de document :
Article dans une revue
Biophysical Journal, Biophysical Society, 2014, 106 (2), p633a. 〈10.1016/j.bpj.2013.11.3504〉
Liste complète des métadonnées
https://hal-polytechnique.archives-ouvertes.fr/hal-01048723
Contributeur : Denis Roura <>
Soumis le : vendredi 25 juillet 2014 - 11:30:08
Dernière modification le : jeudi 12 avril 2018 - 01:49:21

Lien texte intégral

openaccess

Identifiants

Collections

PASTEUR | X-LMS | X-LOB | X | ENSMP | ENSMP_LMS | PARISTECH | PSL

Citation

Maximilian Richly, Silvan Türkcan, Cédric Bouzigues, Michel R. Popoff, Jean-Baptiste Masson, et al.. Investigating the Cell Membrane via Single Particle Tracking, Bayesian Inference and Hydrodynamic Force Application. Biophysical Journal, Biophysical Society, 2014, 106 (2), p633a. 〈10.1016/j.bpj.2013.11.3504〉. 〈hal-01048723〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

244

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD