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ArticleScientific reports2020

QuanTI-FRET: a framework for quantitative FRET measurements in living cells.

Alexis Coullomb, Cécile M Bidan, Chen Qian, Fabian Wehnekamp, Christiane Oddou, Corinne Albigès-Rizo, Don C Lamb, Aurélie Dupont

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Direct Quantification of Protein-Protein Interactions in Living Bacterial Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Detecting Förster resonance energy transfer in living cells by conventional and spectral flow cytometry.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2022
    Article
  12. Article
  13. Article
  14. Inside a Shell-Organometallic Catalysis Inside Encapsulin Nanoreactors.Angewandte Chemie (International ed. in English) · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. 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

8 authors.

Alexis CoullombUniv. Grenoble Alpes, CNRS, LIPhy, Grenoble, F-38000, France.
Cécile M BidanUniv. Grenoble Alpes, CNRS, LIPhy, Grenoble, F-38000, France.
Chen QianDepartment of Chemistry, Center for Nano Science (CENS), Center for Integrated Protein Science Munich (CIPSM) and Nanosystems Initiative Munich (NIM), Ludwig Maximilians-Universität München, Munich, Germany.
Fabian WehnekampDepartment of Chemistry, Center for Nano Science (CENS), Center for Integrated Protein Science Munich (CIPSM) and Nanosystems Initiative Munich (NIM), Ludwig Maximilians-Universität München, Munich, Germany.
Christiane OddouInstitute for Advanced Biosciences, Université Grenoble Alpes, INSERM U1209, UMR5309, F38700, La Tronche, France.
Corinne Albigès-RizoInstitute for Advanced Biosciences, Université Grenoble Alpes, INSERM U1209, UMR5309, F38700, La Tronche, France.
Don C LambDepartment of Chemistry, Center for Nano Science (CENS), Center for Integrated Protein Science Munich (CIPSM) and Nanosystems Initiative Munich (NIM), Ludwig Maximilians-Universität München, Munich, Germany.
Aurélie DupontUniv. Grenoble Alpes, CNRS, LIPhy, Grenoble, F-38000, France. aurelie.dupont@univ-grenoble-alpes.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Förster Resonance Energy Transfer (FRET) allows for the visualization of nanometer-scale distances and distance changes. This sensitivity is regularly achieved in single-molecule experiments in vitro but is still challenging in biological materials. Despite many efforts, quantitative FRET in living samples is either restricted to specific instruments or limited by the complexity of the required analysis. With the recent development and expanding utilization of FRET-based biosensors, it becomes essential to allow biologists to produce quantitative results that can directly be compared. Here, we present a new calibration and analysis method allowing for quantitative FRET imaging in living cells with a simple fluorescence microscope. Aside from the spectral crosstalk corrections, two additional correction factors were defined from photophysical equations, describing the relative differences in excitation and detection efficiencies. The calibration is achieved in a single step, which renders the Quantitative Three-Image FRET (QuanTI-FRET) method extremely robust. The only requirement is a sample of known stoichiometry donor:acceptor, which is naturally the case for intramolecular FRET constructs. We show that QuanTI-FRET gives absolute FRET values, independent of the instrument or the expression level. Through the calculation of the stoichiometry, we assess the quality of the data thus making QuanTI-FRET usable confidently by non-specialists.

Indexed as

Biosensing TechniquesEvaluation Studies as TopicFluorescenceFluorescence Resonance Energy Transfer

Identifiers

PMID32300110
PMCPMC7162988

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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.