Evidence map›Paper›PMID 17921223›Full record

ArticleBiophysical journal2008

Analysis of FRET signals in the presence of free donors and acceptors.

Jakub Wlodarczyk, Andrew Woehler, Fritz Kobe, Evgeni Ponimaskin, Andre Zeug, Erwin Neher

Abstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Article
  2. Structural biases in disordered proteins are prevalent in the cell.Nature structural & molecular biology · 2024
    Article
  3. Optimal inference of molecular interaction dynamics in FRET microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. How many photons are needed for FRET imaging?Biomedical optics express · 2020
    Article
  11. Detection ofBio-protocol · 2019
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

6 authors.

Jakub WlodarczykDeutsche Forschungsgemeinschaft-Research Center for the Molecular Physiology of the Brain, Göttingen, Germany.
Andrew Woehler
Fritz Kobe
Evgeni Ponimaskin
Andre Zeug
Erwin Neher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A method for spectral analysis of Förster resonance energy transfer (FRET) signals is presented, taking into consideration both the contributions of unpaired donor and acceptor fluorophores and the influence of incomplete labeling of the interacting partners. It is shown that spectral analysis of intermolecular FRET cannot yield accurate values of the Förster energy transfer efficiency E, unless one of the interactors is in large excess and perfectly labeled. Instead, analysis of donor quenching yields a product of the form Ef(d)p(a), where f(d) is the fraction of donor-type molecules participating in donor-acceptor complexes and p(a) is the labeling probability of the acceptor. Similarly, analysis of sensitized emission yields a product involving Ef(a). The analysis of intramolecular FRET (e.g., of tandem constructs) yields the product Ep(a). We use our method to determine these values for a tandem construct of cyan fluorescent protein and yellow fluorescent protein and compare them with those obtained by standard acceptor photobleaching and fluorescence lifetime measurements. We call the method lux-FRET, since it relies on linear unmixing of spectral components.

Indexed as

AlgorithmsModels, ChemicalBiopolymersComputer SimulationFluorescence Resonance Energy TransferBiopolymers

Identifiers

PMID17921223
PMCPMC2186232

What OpenQuestion holds

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Registered trials

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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.