Evidence map›Paper›PMID 21218223›Full record

ArticlePhysical chemistry chemical physics : PCCP2011

Quantifying heterogeneity and conformational dynamics from single molecule FRET of diffusing molecules: recurrence analysis of single particles (RASP).

Armin Hoffmann, Daniel Nettels, Jennifer Clark, Alessandro Borgia, Sheena E Radford, Jane Clarke, Benjamin Schuler

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

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58citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

  1. Article
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  13. Time-resolved burst variance analysis.Biophysical reports · 2023
    Article
  14. Article
  15. Article
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  18. Chaperones Skp and SurA dynamically expand unfolded OmpX and synergistically disassemble oligomeric aggregates.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  19. Theory and Analysis of Single-Molecule FRET Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  20. Review
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Armin HoffmannDepartment of Biochemistry, University of Zurich, Winterthurerstr. 190, 8057 Zurich, Switzerland.
Daniel Nettels
Jennifer Clark
Alessandro Borgia
Sheena E Radford
Jane Clarke
Benjamin Schuler

Funding

Biotechnology and Biological Sciences Research CouncilWellcome Trust 064417
6 · The paper itself

Abstract

Single molecule Förster resonance energy transfer (FRET) experiments are a versatile method for investigating the conformational distributions and dynamics of biological macromolecules. In a common type of experiment, the fluorescence bursts from individual molecules freely diffusing in solution are detected as they pass through the observation volume of a confocal microscope. Correlation analysis of the fluorescence bursts shows that under typical experimental conditions, for time scales up to several tens of milliseconds, the probability for a molecule to return to the confocal volume is greater than the probability of a new molecule being detected. Here we present RASP (recurrence analysis of single particles), a method that is based on this recurrence behavior and allows us to significantly extend the information that can be extracted from single molecule FRET experiments. The number and peak shapes of subpopulations within the sample can be identified essentially in a model-free way by constructing recurrence FRET efficiency histograms. These are obtained by first selecting photon bursts from a small transfer efficiency range (initial bursts), and then building the FRET efficiency histogram only from bursts detected within a short time (the recurrence interval) after the initial bursts. Systematic variation of the recurrence interval allows the kinetics of interconversion between subpopulations to be determined on time scales from ~50 μs up to ~100 ms from equilibrium measurements. We demonstrate the applicability of the method on measurements of several peptides and proteins with different degrees of conformational heterogeneity and folding dynamics. The concepts presented here can be extended to other observables available from single molecule fluorescence experiments.

Indexed as

Molecular ConformationDiffusionFluorescence Resonance Energy TransferKineticsProbabilityProtein Structure, TertiaryStaphylococcal Protein AStaphylococcal Protein A

Identifiers

PMID21218223
PMCPMC3378030

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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.