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  4. Single-particle trajectories reveal two-state diffusion-kinetics of hOGG1 proteins on DNA

Single-particle trajectories reveal two-state diffusion-kinetics of hOGG1 proteins on DNA

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Author(s)
Vestergaard, Christian L
•
Blainey, Paul C
•
Flyvbjerg, Henrik
Date Issued
January 2018
Journal
Nucleic Acids Research
Publisher
Oxford University Press (OUP)
Citation
Vestergaard, Christian L et al. “Single-Particle Trajectories Reveal Two-State Diffusion-Kinetics of hOGG1 Proteins on DNA.” Nucleic Acids Research 46, 5 (January 2018): 2446–2458 © 2018 The Author(s)
Version
Final published version
Abstract
We reanalyze trajectories of hOGG1 repair proteins diffusing on DNA. A previous analysis of these trajectories with the popular mean-squared-displacement approach revealed only simple diffusion. Here, a new optimal estimator of diffusion coefficients reveals two-state kinetics of the protein. A simple, solvable model, in which the protein randomly switches between a loosely bound, highly mobile state and a tightly bound, less mobile state is the simplest possible dynamic model consistent with the data. It yields accurate estimates of hOGG1's (i) diffusivity in each state, uncorrupted by experimental errors arising from shot noise, motion blur and thermal fluctuations of the DNA; (ii) rates of switching between states and (iii) rate of detachment from the DNA. The protein spends roughly equal time in each state. It detaches only from the loosely bound state, with a rate that depends on pH and the salt concentration in solution, while its rates for switching between states are insensitive to both. The diffusivity in the loosely bound state depends primarily on pH and is three to ten times higher than in the tightly bound state. We propose and discuss some new experiments that take full advantage of the new tools of analysis presented here.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/117579
DOI of Published Version
https://doi.org/10.1093/NAR/GKY004
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