Dynamic heterogeneity and non-Gaussian statistics for acetylcholine receptors on live cell membrane

The Brownian motion of molecules at thermal equilibrium usually has a finite correlation time and will eventually be randomized after a long delay time, so that their displacement follows the Gaussian statistics. This is true even when the molecules have experienced a complex environment with a finite correlation time. Here, we report that the lateral motion of the acetylcholine receptors on live muscle cell membranes does not follow the Gaussian statistics for normal Brownian diffusion. From a careful analysis of a large volume of the protein trajectories obtained over a wide range of sampling rates and long durations, we find that the normalized histogram of the protein displacements shows an exponential tail, which is robust and universal for cells under different conditions. The experiment indicates that the observed non-Gaussian statistics and dynamic heterogeneity are inherently linked to the slow-active remodelling of the underlying cortical actin network. Molecular motion in living cells is known to be more complicated than those determined solely by thermal equilibrium, but a quantitative analysis is still missing. Here, He et al. quantify the lateral motion of proteins on live muscle cell membranes, which doesn’t follow the normal Brownian diffusion.

• Publication year

  2016

• Venue

  Nature Communications

• Publication date

  2016-05-26

• Fields of study

  Biology, Medicine, Physics

• Identifiers
  DOI 10.1038/ncomms11701PMID 27226072PMCID 4894960
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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