Evidence map›Paper›PMID 40304910›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Measuring Molecular Interactions with Subcellular Resolution: Single-Cell FRET Using the Quantitative Three-Filterset (Intensity-Based) Approach.

István Rebenku, Cameron B Lloyd, György Vereb

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

István RebenkuDepartment of Biophysics and Cell Biology, Faculty of Medicine, Debrecen, Hungary.
Cameron B LloydDepartment of Biophysics and Cell Biology, Faculty of Medicine, Debrecen, Hungary.
György VerebDepartment of Biophysics and Cell Biology, Faculty of Medicine, Debrecen, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The actual interaction between signaling species in cellular processes is often more important than their expression levels. Förster resonance energy transfer (FRET) is a popular tool for studying molecular interactions, since it is highly sensitive to proximity in the range of 2-10 nm. Spectral spillover-corrected quantitative (three-filterset) FRET is a cost-effective and versatile approach, which can be applied in flow cytometry and various modalities of fluorescence microscopy, where it provides pixel-by-pixel quantitative FRET efficiency values as well as FRET-corrected fluorescent intensities corresponding to the expression level of the two labeled interacting molecular species. Here, we provide a protocol for implementing such measurements, starting from the preparation of appropriate samples including controls, through a step-by step guide for image processing and derivation of microscopic FRET maps, to various aspects of interpreting the results. The image processing described is aided by a freely available ImageJ/Fiji plugin RiFRET which has been developed with the biology-focused users in mind. The interface guides the user through the evaluation process in a friendly manner and provides the option for automatic processing of large image libraries once the various calibration factors have been correctly set.

Indexed as

Fluorescence Resonance Energy TransferImage Processing, Computer-AssistedSingle-Cell AnalysisHumansMicroscopy, FluorescenceSoftwareEGFRFluorescence resonance energy transferFörster resonance energy transfer (FRET)FRET microscopyIntegrin A5Molecular interactionsMolecular proximitySingle-cell pixel-by-pixel FRET analysis

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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.