Evidence map›Paper›PMID 29361033›Full record

ArticleNucleic acids research2018

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

Christian L Vestergaard, Paul C Blainey, Henrik Flyvbjerg

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Resolving the subtle details of human DNA alkyltransferase lesion search and repair mechanism by single-molecule studies.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Probing Amyloid-DNA Interaction with Nanofluidics.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. Review
  10. Review
  11. Review
  12. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Christian L VestergaardDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Paul C BlaineyMIT Department of Biological Engineering and Broad Institute of Harvard and MIT, 415 Main Street, Cambridge, MA 02142, USA.
Henrik FlyvbjergDepartment of Micro- and Nanotechnology, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

DiffusionDNADNA-Binding ProteinsDNA GlycosylasesHumansKineticsModels, BiologicalMotionDNADNA-Binding ProteinsDNA Glycosylasesoxoguanine glycosylase 1, human

Identifiers

PMID29361033
PMCPMC5861423

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.