Evidence map›Paper›PMID 23929684›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2013

Assessing FRET using spectral techniques.

Silas J Leavesley, Andrea L Britain, Lauren K Cichon, Viacheslav O Nikolaev, Thomas C Rich

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Automated Image Analysis of FRET Signals for Subcellular cAMP Quantification.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Comparison of spectral FRET microscopy approaches for single-cell analysis.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  16. Excitation-scan Mirror Array System Advancements to Hyperspectral Imaging Applications.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  17. Article
  18. Optimizing channel selection for excitation-scanning hyperspectral imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  19. Article
  20. Improving Quality, Reproducibility, and Usability of FRET-Based Tension Sensors.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2019
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Silas J LeavesleyDepartment of Chemical and Biomolecular Engineering, University of South Alabama, Mobile, Alabama, 36688; Department of Pharmacology, University of South Alabama, Mobile, Alabama, 36688.
Andrea L Britain
Lauren K Cichon
Viacheslav O Nikolaev
Thomas C Rich

Funding

T-type Calcium Channels and von Willebrand Factor ReleaseP01HL066299 · NHLBI · UNIVERSITY OF SOUTH ALABAMA · PI ALVAREZ, DIEGO F. · 2001 to 2022
$34.6M
cAMP Phosphodiesterase and Lung Endothelial Cell PermeabilityR01HL094455 · NHLBI · UNIVERSITY OF SOUTH ALABAMA · PI RICH, THOMAS C · 2009 to 2010
$847k
Request for a Spectral Confocal MicroscopeS10RR027535 · NCRR · UNIVERSITY OF SOUTH ALABAMA · PI RICH, THOMAS C · 2010 to 2010
$397k
NCRR NIH HHS S10 RR027535NHLBI NIH HHS P01 HL066299NHLBI NIH HHS R01 HL094455
6 · The paper itself

Abstract

Förster resonance energy transfer (FRET) techniques have proven invaluable for probing the complex nature of protein-protein interactions, protein folding, and intracellular signaling events. These techniques have traditionally been implemented with the use of one or more fluorescence band-pass filters, either as fluorescence microscopy filter cubes, or as dichroic mirrors and band-pass filters in flow cytometry. In addition, new approaches for measuring FRET, such as fluorescence lifetime and acceptor photobleaching, have been developed. Hyperspectral techniques for imaging and flow cytometry have also shown to be promising for performing FRET measurements. In this study, we have compared traditional (filter-based) FRET approaches to three spectral-based approaches: the ratio of acceptor-to-donor peak emission, linear spectral unmixing, and linear spectral unmixing with a correction for direct acceptor excitation. All methods are estimates of FRET efficiency, except for one-filter set and three-filter set FRET indices, which are included for consistency with prior literature. In the first part of this study, spectrofluorimetric data were collected from a CFP-Epac-YFP FRET probe that has been used for intracellular cAMP measurements. All comparisons were performed using the same spectrofluorimetric datasets as input data, to provide a relevant comparison. Linear spectral unmixing resulted in measurements with the lowest coefficient of variation (0.10) as well as accurate fits using the Hill equation. FRET efficiency methods produced coefficients of variation of less than 0.20, while FRET indices produced coefficients of variation greater than 8.00. These results demonstrate that spectral FRET measurements provide improved response over standard, filter-based measurements. Using spectral approaches, single-cell measurements were conducted through hyperspectral confocal microscopy, linear unmixing, and cell segmentation with quantitative image analysis. Results from these studies confirmed that spectral imaging is effective for measuring subcellular, time-dependent FRET dynamics and that additional fluorescent signals can be readily separated from FRET signals, enabling multilabel studies of molecular interactions. © 2013 International Society for Advancement of Cytometry.

Indexed as

Fluorescence Resonance Energy TransferHEK293 CellsHumansImage Processing, Computer-AssistedMicroscopy, ConfocalcAMPCFPEpacflow cytometryhyperspectralimagingmicroscopyspectroscopyYFP

Identifiers

PMID23929684
PMCPMC4374658

What OpenQuestion holds

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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.