Analysis of Diffusivity Change from Single-molecule Trajectories on Living Cells.

08:00 EDT 3rd October 2019 | BioPortfolio

Summary of "Analysis of Diffusivity Change from Single-molecule Trajectories on Living Cells."

With the wide application of live-cell single-molecule imaging and tracking of biomolecules at work, deriving diffusion state changes of individual molecules is of particular interest as these changes reflect molecular oligomerization or interaction with other cellular components, thus correlate with functional changes. We have developed a Rayleigh mixture distribution based hidden Markov model method to analyze time-lapse diffusivity change of single molecules, especially membrane proteins, with unknown dynamic states in living cells. With this method, the diffusion parameters, including diffusion state number, state transition probability, diffusion coefficient and state mixture ratio, can be extracted from the single-molecule diffusion trajectories with accuracy and easy computation. The validity of our method has been demonstrated with not only experiments on synthetic trajectories but also single-molecule fluorescence imaging data of two typical membrane receptors. Our method offers a new analytical tool for the investigation of molecular interaction kinetics at the single-molecule level.


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This article was published in the following journal.

Name: Analytical chemistry
ISSN: 1520-6882


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