ArticlePloS one2013
Probing membrane protein interactions with their lipid raft environment using single-molecule tracking and Bayesian inference analysis.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 27 citations in OpenAlex.
- Confinement energy landscape classification reveals membrane receptor nano-organization mechanisms.Biophysical journal · 2024Article
- Errors in Energy Landscapes Measured with Particle Tracking.Biophysical journal · 2018Article
- A Primer on the Bayesian Approach to High-Density Single-Molecule Trajectories Analysis.Biophysical journal · 2016Review
- Exploring in vivo cholesterol-mediated interactions between activated EGF receptors in plasma membrane with single-molecule optical tracking.BMC biophysics · 2016Article
- Oxygen depletion speeds and simplifies diffusion in HeLa cells.Biophysical journal · 2014Article
- Article
- Receptor displacement in the cell membrane by hydrodynamic force amplification through nanoparticles.Biophysical journal · 2013Article
- Bayesian decision tree for the classification of the mode of motion in single-molecule trajectories.PloS one · 2013Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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