Evidence map›Paper›PMID 29142199›Full record

ArticleScientific reports2017

SensorFRET: A Standardless Approach to Measuring Pixel-based Spectral Bleed-through and FRET Efficiency using Spectral Imaging.

Paul T Arsenovic, Carl R Mayer, Daniel E Conway

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Review
  7. Article
  8. Article
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  10. Article
  11. Article
  12. Using Nesprin Tension Sensors to Measure Force on the LINC Complex.Methods in molecular biology (Clifton, N.J.) · 2018
    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

3 authors.

Paul T ArsenovicVirginia Commonwealth University, Department of Biomedical Engineering, Richmond, VA, 23284, USA.
Carl R MayerVirginia Commonwealth University, Department of Biomedical Engineering, Richmond, VA, 23284, USA.
Daniel E ConwayVirginia Commonwealth University, Department of Biomedical Engineering, Richmond, VA, 23284, USA. dconway@vcu.edu.ORCID 0000-0001-6624-177X

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Kim Felder Rhoads · 1985 to 2026
$51.0M
Cell junction and nuclear forces as mediators of epithelial cell homeostasisR35GM119617 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI Daniel E Conway · 2016 to 2026
$4.5M
Zeiss 780 NLO High Sensitivity Multiphoton Microscopy SystemS10OD016446 · OD · UNIVERSITY OF VIRGINIA · PI PERIASAMY, AMMASI · 2013 to 2013
$600k
NCI NIH HHS P30 CA016059NIGMS NIH HHS R35 GM119617NIH HHS S10 OD016446
6 · The paper itself

Abstract

Fluorescence microscopy of FRET-based biosensors allow nanoscale interactions to be probed in living cells. This paper describes a novel approach to spectrally resolved fluorescence microscopy, termed sensorFRET, that enables quantitative measurement of FRET efficiency. This approach is an improvement on existing methods (FLIM, sRET, luxFRET, pFRET), as it does not require single fluorophore standards to be measured with every experiment and the acquisition is intensity independent, allowing the laser power to be optimized for varying levels of fluorophore expression. Additionally, it was found that all spectral based methods, including sensorFRET, fail at specific fluorophore-excitation wavelength combinations. These combinations can be determined a priori using sensorFRET, whereas other methods would give no indication of inaccuracies. This method was thoroughly validated and compared to existing methods using simulated spectra, Fluorescein and TAMRA dye mixtures as a zero FRET control, and Cerulean-Venus FRET standards as positive FRET controls. Simulations also provided a means of quantifying the uncertainty in each measurement by relating the fit residual of noisy spectra to the standard deviation of the measured FRET efficiency. As an example application, Teal-Venus force sensitive biosensors integrated into E-cadherin were used to resolve piconewton scale forces along different parts of an individual cell junction.

Indexed as

Biosensing TechniquesCadherinsFluoresceinFluorescence Resonance Energy TransferHumansIntercellular JunctionsMicroscopy, FluorescenceRhodamines5-carboxytetramethylrhodamine succinimidyl esterCadherinsFluoresceinRhodamines

Identifiers

PMID29142199
PMCPMC5688180

What OpenQuestion holds

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Registered trials

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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.