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

The statistical properties of membrane protein random walks reveal information on the interactions between the proteins and their environments. These interactions can be included in an overdamped Langevin equation framework where they are injected in either or both the friction field and the potenti...

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Autores principales:	Silvan Türkcan, Maximilian U Richly, Antigoni Alexandrou, Jean-Baptiste Masson
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fd6513c28d31437bb2cd7a6a9583eece
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spelling	oai:doaj.org-article:fd6513c28d31437bb2cd7a6a9583eece2021-11-18T08:02:47ZProbing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.1932-620310.1371/journal.pone.0053073https://doaj.org/article/fd6513c28d31437bb2cd7a6a9583eece2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23301023/?tool=EBIhttps://doaj.org/toc/1932-6203The statistical properties of membrane protein random walks reveal information on the interactions between the proteins and their environments. These interactions can be included in an overdamped Langevin equation framework where they are injected in either or both the friction field and the potential field. Using a Bayesian inference scheme, both the friction and potential fields acting on the ε-toxin receptor in its lipid raft have been measured. Two types of events were used to probe these interactions. First, active events, the removal of cholesterol and sphingolipid molecules, were used to measure the time evolution of confining potentials and diffusion fields. Second, passive rare events, de-confinement of the receptors from one raft and transition to an adjacent one, were used to measure hopping energies. Lipid interactions with the ε-toxin receptor are found to be an essential source of confinement. ε-toxin receptor confinement is due to both the friction and potential field induced by cholesterol and sphingolipids. Finally, the statistics of hopping energies reveal sub-structures of potentials in the rafts, characterized by small hopping energies, and the difference of solubilization energy between the inner and outer raft area, characterized by higher hopping energies.Silvan TürkcanMaximilian U RichlyAntigoni AlexandrouJean-Baptiste MassonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 1, p e53073 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Silvan Türkcan Maximilian U Richly Antigoni Alexandrou Jean-Baptiste Masson Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
description	The statistical properties of membrane protein random walks reveal information on the interactions between the proteins and their environments. These interactions can be included in an overdamped Langevin equation framework where they are injected in either or both the friction field and the potential field. Using a Bayesian inference scheme, both the friction and potential fields acting on the ε-toxin receptor in its lipid raft have been measured. Two types of events were used to probe these interactions. First, active events, the removal of cholesterol and sphingolipid molecules, were used to measure the time evolution of confining potentials and diffusion fields. Second, passive rare events, de-confinement of the receptors from one raft and transition to an adjacent one, were used to measure hopping energies. Lipid interactions with the ε-toxin receptor are found to be an essential source of confinement. ε-toxin receptor confinement is due to both the friction and potential field induced by cholesterol and sphingolipids. Finally, the statistics of hopping energies reveal sub-structures of potentials in the rafts, characterized by small hopping energies, and the difference of solubilization energy between the inner and outer raft area, characterized by higher hopping energies.
format	article
author	Silvan Türkcan Maximilian U Richly Antigoni Alexandrou Jean-Baptiste Masson
author_facet	Silvan Türkcan Maximilian U Richly Antigoni Alexandrou Jean-Baptiste Masson
author_sort	Silvan Türkcan
title	Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
title_short	Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
title_full	Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
title_fullStr	Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
title_full_unstemmed	Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
title_sort	probing membrane protein interactions with their lipid raft environment using single-molecule tracking and bayesian inference analysis.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/fd6513c28d31437bb2cd7a6a9583eece
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Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.

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