ArticleThe Journal of chemical physics2011
Correlating anomalous diffusion with lipid bilayer membrane structure using single molecule tracking and atomic force microscopy.
Article in The Journal of chemical physics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- CaThe journal of physical chemistry. B · 2025Article
- Improved Highly Mobile Membrane Mimetic Model for Investigating Protein-Cholesterol Interactions.Journal of chemical information and modeling · 2024Article
- Subdiffusive-Brownian crossover in membrane proteins: a generalized Langevin equation-based approach.Biophysical journal · 2021Article
- Physical Properties and Reactivity of Microdomains in Phosphatidylinositol-Containing Supported Lipid Bilayer.Membranes · 2021Article
- Fractal analysis of lateral movement in biomembranes.European biophysics journal : EBJ · 2018Article
- Fractal model of anomalous diffusion.European biophysics journal : EBJ · 2015Article
- Preparation of mica supported lipid bilayers for high resolution optical microscopy imaging.Journal of visualized experiments : JoVE · 2014Article
- TrackArt: the user friendly interface for single molecule tracking data analysis and simulation applied to complex diffusion in mica supported lipid bilayers.BMC research notes · 2014Article
- Wanted: a positive control for anomalous subdiffusion.Biophysical journal · 2012Review
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3 authors.
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Abstract
Anomalous diffusion has been observed abundantly in the plasma membrane of biological cells, but the underlying mechanisms are still unclear. In general, it has not been possible to directly image the obstacles to diffusion in membranes, which are thought to be skeleton bound proteins, protein aggregates, and lipid domains, so the dynamics of diffusing particles is used to deduce the obstacle characteristics. We present a supported lipid bilayer system in which we characterized the anomalous diffusion of lipid molecules using single molecule tracking, while at the same time imaging the obstacles to diffusion with atomic force microscopy. To explain our experimental results, we performed lattice Monte Carlo simulations of tracer diffusion in the presence of the experimentally determined obstacle configurations. We correlate the observed anomalous diffusion with obstacle area fraction, fractal dimension, and correlation length. To accurately measure an anomalous diffusion exponent, we derived an expression to account for the time-averaging inherent to all single molecule tracking experiments. We show that the length of the single molecule trajectories is critical to the determination of the anomalous diffusion exponent. We further discuss our results in the context of confinement models and the generating stochastic process.
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