2020
DOI: 10.1038/s41598-020-62924-w
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QuanTI-FRET: a framework for quantitative FRET measurements in living cells

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 all… Show more

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Cited by 30 publications
(37 citation statements)
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“…as is derived in Supplementary Note 1. γ can be estimated from model spectra, or more reliably from additional control experiments 10 .…”
Section: Resultsmentioning
confidence: 99%
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“…as is derived in Supplementary Note 1. γ can be estimated from model spectra, or more reliably from additional control experiments 10 .…”
Section: Resultsmentioning
confidence: 99%
“…as is derived in Supplementary Note 2. Equation (10) shows that the full dependence is known if one simply measures ρ 0 , the photoswitching ratio in the absence of FRET, using the same settings for the instrument. As we show in the Supplementary Information, this consideration can be expanded to photochromic molecules that do not display complete off-switching but instead reach an equilibrium or plateau level.…”
Section: Resultsmentioning
confidence: 99%
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“…as is derived in section 1 of the supplementary information. can be estimated from model spectra, or more reliably from additional control experiments [10]. For some systems, such as genetically-encoded biosensors, changes in the observed FRET efficiency arise from the interconversion of the system between a low-and a high-FRET state, rather than from a continuous variation of the FRET efficiency.…”
Section: Quantification Of the Fret Signalmentioning
confidence: 99%
“…as is derived in section 1 of the supplementary information. can be estimated from model spectra, or more reliably from additional control experiments [10].…”
mentioning
confidence: 99%