Evidence map›Paper›PMID 28510004›Full record

ReviewBiophysical reviews2011

Non fitting based FRET-FLIM analysis approaches applied to quantify protein-protein interactions in live cells.

Sergi Padilla-Parra, Nicolas Auduge, Maite Coppey-Moisan, Marc Tramier

Open access · greenAbstract readReview
In one paragraph

Review in Biophysical reviews, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 15% of its field
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

10 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Wide-field time-gated SPAD imager for phasor-based FLIM applications.Methods and applications in fluorescence · 2020
    Article
  8. Article
  9. Article
  10. FLIM-FRET for Cancer Applications.Current molecular imaging
    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 at 2 institutions in 2 countries.

Sergi Padilla-ParraDepartment of Pediatrics, Infectious Diseases, Emory University, 2015 Uppergate Dr, Atlanta, GA, 30322, USA. sergi.padilla@emory.edu.
Nicolas AudugeInstitut Jacques Monod, UMR 7592, CNRS, Université Paris-Diderot, 75013, Paris, France.
Maite Coppey-MoisanInstitut Jacques Monod, UMR 7592, CNRS, Université Paris-Diderot, 75013, Paris, France.
Marc TramierCNRS, UMR 6061, Institut Génétique et Développement de Rennes, 35043, Rennes, France. marc.tramier@univ-rennes1.fr.
Centre National de la Recherche Scientifique · FREmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New imaging methodologies in quantitative fluorescence microscopy and nanoscopy have been developed in the last few years and are beginning to be extensively applied to biological problems, such as the localization and quantification of protein interactions. Fluorescence resonance energy transfer (FRET) detected by fluorescence lifetime imaging microscopy (FLIM) is currently employed not only in biophysics or chemistry but also in bio-medicine, thanks to new advancements in technology and also new developments in data treatment. FRET-FLIM can be a very useful tool to ascertain protein interactions occurring in single living cells. In this review, we stress the importance of increasing the acquisition speed when working in vivo employing Time-Domain FLIM. The development of the new mathematical-based non-fitting methods allows the determining of the fraction of interacting donor without the requirement of high count statistics, and thus allows the performing of high speed acquisitions in FRET-FLIM to still be quantitative.

Indexed as

Fluorescence lifetime imaging microscopy (FLIM)Förster resonance energy transfer (FRET)NanoscopyQuantitative fluorescence microscopy

Identifiers

PMID28510004
PMCPMC5418398
OpenAlexW1965338129

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.