Evidence map›Paper›PMID 23199910›Full record

ReviewBiophysical journal2012

Quantitative intensity-based FRET approaches--a comparative snapshot.

André Zeug, Andrew Woehler, Erwin Neher, Evgeni G Ponimaskin

Abstract readReview
In one paragraph

Review in Biophysical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Review
  3. Cell-cell communication: new insights and clinical implications.Signal transduction and targeted therapy · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. bioRxiv : the preprint server for biology · 2023
    Article
  10. Optimal inference of molecular interaction dynamics in FRET microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

4 authors.

André ZeugCellular Neurophysiology, Center of Physiology, Hannover Medical School, Hannover, Germany.
Andrew Woehler
Erwin Neher
Evgeni G Ponimaskin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) has become an important tool for analyzing different aspects of interactions among biological macromolecules in their native environments. FRET analysis has also been successfully applied to study the spatiotemporal regulation of various cellular processes using genetically encoded FRET-based biosensors. A variety of procedures have been described for measuring FRET efficiency or the relative abundance of donor-acceptor complexes, based on analysis of the donor fluorescence lifetime or the spectrally resolved fluorescence intensity. The latter methods are preferable if one wants to not only quantify the apparent FRET efficiencies but also calculate donor-acceptor stoichiometry and observe fast dynamic changes in the interactions among donor and acceptor molecules in live cells. This review focuses on a comparison of the available intensity-based approaches used to measure FRET. We discuss their strengths and weaknesses in terms of FRET quantification, and provide several examples of biological applications.

Indexed as

AnimalsFluorescenceFluorescence Resonance Energy TransferHumansMicroscopy, ConfocalMicroscopy, FluorescenceOptogenetics

Identifiers

PMID23199910
PMCPMC3491707

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.