Dynamic correlations in lipid bilayer membranes over finite time intervals
Rafael L Schoch1, Gilad Haran1, Frank L H Brown2
1Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot 7610001, Israel.
Dynamic lipid-lipid correlations in membranes are influenced by measurement timescales. Theoretical models explain how finite acquisition times affect observed correlations, aligning with simulations and suggesting new avenues for membrane protein studies.
Area of Science:
- Biophysics
- Physical Chemistry
- Materials Science
Background:
- Recent single-molecule measurements reveal dynamic lipid-lipid correlations in biological membranes.
- Observed correlations possess submicrometer spatial and submillisecond temporal resolution.
- These experimental scales are significantly longer than intrinsic molecular motions.
Purpose of the Study:
- To derive theoretical expressions for experimentally measurable correlations from the two-body diffusion matrix.
- To account for the effects of temporal and spatial averaging due to finite acquisition times.
- To compare theoretical predictions with Brownian dynamics simulations and experimental data.
Main Methods:
- Derivation of theoretical expressions for lipid-lipid correlations.
- Analysis of the two-body diffusion matrix for membrane-bound molecules with hydrodynamic interactions.
- Brownian dynamics simulations to model experimental measurements.
Main Results:
- Finite acquisition times lead to the "washing out" of correlations compared to instantaneous measurements.
- Theoretical predictions show excellent agreement with Brownian dynamics simulations.
- The derived theoretical framework accurately describes the observed lipid-lipid correlations.
Conclusions:
- Experimental measurement timescales significantly impact the observation of dynamic lipid-lipid correlations.
- Theoretical modeling provides a framework to interpret experimental results considering acquisition limitations.
- Complementary measurements of membrane protein diffusion may resolve ambiguities in black lipid membrane studies.
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