Evidence map›Paper›PMID 25523156›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2015

Time-domain microfluidic fluorescence lifetime flow cytometry for high-throughput Förster resonance energy transfer screening.

Jakub Nedbal, Viput Visitkul, Elena Ortiz-Zapater, Gregory Weitsman, Prabhjoat Chana, Daniel R Matthews, Tony Ng, Simon M Ameer-Beg

Open access · hybridAbstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.0field-weighted citation impact, top 6% 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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Evolutionary cell biology comes of age.Journal of cell science · 2025
    Article
  2. Review
  3. Article
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  5. Autofluorescence lifetime flow cytometry with time-correlated single photon counting.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Article
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  9. Review
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  18. Directed evolution of excited state lifetime and brightness in FusionRed using a microfluidic sorter.Integrative biology : quantitative biosciences from nano to macro · 2018
    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

8 authors at 5 institutions in 2 countries.

Jakub NedbalDivision of Cancer Studies, King's College London, United Kingdom; Randall Division of Cell and Molecular Biophysics, King's College London, United Kingdom.
Viput Visitkul
Elena Ortiz-Zapater
Gregory Weitsman
Prabhjoat Chana
Daniel R Matthews
Tony Ng
Simon M Ameer-Beg
King's College London · GBKing's College School · GBCRUK Lung Cancer Centre of Excellence · GBGuy's and St Thomas' NHS Foundation Trust · GBUniversity of Queensland · AU

Funding

Biotechnology and Biological Sciences Research Council BB/G007160/1Cancer Research UK 16463
6 · The paper itself

Abstract

Sensing ion or ligand concentrations, physico-chemical conditions, and molecular dimerization or conformation change is possible by assays involving fluorescent lifetime imaging. The inherent low throughput of imaging impedes rigorous statistical data analysis on large cell numbers. We address this limitation by developing a fluorescence lifetime-measuring flow cytometer for fast fluorescence lifetime quantification in living or fixed cell populations. The instrument combines a time-correlated single photon counting epifluorescent microscope with microfluidics cell-handling system. The associated computer software performs burst integrated fluorescence lifetime analysis to assign fluorescence lifetime, intensity, and burst duration to each passing cell. The maximum safe throughput of the instrument reaches 3,000 particles per minute. Living cells expressing spectroscopic rulers of varying peptide lengths were distinguishable by Förster resonant energy transfer measured by donor fluorescence lifetime. An epidermal growth factor (EGF)-stimulation assay demonstrated the technique's capacity to selectively quantify EGF receptor phosphorylation in cells, which was impossible by measuring sensitized emission on a standard flow cytometer. Dual-color fluorescence lifetime detection and cell-specific chemical environment sensing were exemplified using di-4-ANEPPDHQ, a lipophilic environmentally sensitive dye that exhibits changes in its fluorescence lifetime as a function of membrane lipid order. To our knowledge, this instrument opens new applications in flow cytometry which were unavailable due to technological limitations of previously reported fluorescent lifetime flow cytometers. The presented technique is sensitive to lifetimes of most popular fluorophores in the 0.5-5 ns range including fluorescent proteins and is capable of detecting multi-exponential fluorescence lifetime decays. This instrument vastly enhances the throughput of experiments involving fluorescence lifetime measurements, thereby providing statistically significant quantitative data for analysis of large cell populations. © 2014 International Society for Advancement of Cytometry.

Indexed as

Cell Line, TumorDimerizationEpidermal Growth FactorErbB ReceptorsFlow CytometryFluorescence Resonance Energy TransferFluorescent Antibody TechniqueFluorescent DyesHEK293 CellsHumansMCF-7 CellsMicrofluidic Analytical TechniquesPhosphorylationPyridinium Compoundsdi-4-ANEPPDHQEpidermal Growth FactorErbB ReceptorsFluorescent DyesPyridinium Compoundsflow cytometryfluorescence lifetimeFRETmicrofluidicstime-correlated single photon counting

Identifiers

PMID25523156
PMCPMC4440390
OpenAlexW1600617989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.