ReviewCellular and molecular life sciences : CMLS2022
Flow cytometry based-FRET: basics, novel developments and future perspectives.
Review in Cellular and molecular life sciences : CMLS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 23 citations in OpenAlex.
- Insights into programmed cell death from multiple imaging modalities.Journal of translational medicine · 2026Review
- To fret over FRET: Unintended fluorescence energy transfer artifacts and their implications for flow cytometry panel design and interpretation as highlighted by TRBC1/2 assays.Cytometry. Part B, Clinical cytometry · 2026Article
- Real-Time Visualization of Isoform-Specific RAF-KRAS Interactions in Living Cells Using FRET-BRET Hybrid Biosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From Population Averaging to Single Event Resolution: Evolution of Sensing Platforms for Membrane Fusion.Sensors (Basel, Switzerland) · 2026Review
- Signal Transduction Strategies for DNAzyme-Based Sensing and Imaging of Metal Ions in Cells andChemical & biomedical imaging · 2025Review
- Advances in Cellular and Molecular Biology Assays: A Review of Gold Standard Methods.International journal of innovative science and research technology · 2025Article
- A new model measuring bacterial phagocytosis and phagolysosomal oxidation in humans using the intradermal injection of methylene blue-labeled Escherichia coli.Journal of leukocyte biology · 2025Article
- In Situ Glycan Analysis and Editing in Living Systems.JACS Au · 2024Review
- CD81 suppresses NF-κB signaling and is downregulated in hepatitis C virus expressing cells.Frontiers in cellular and infection microbiology · 2024Article
- Small-molecule TIP60 inhibitors enhance regulatory T cell induction through TIP60-P300 acetylation crosstalk.iScience · 2023Article
- Applications of fluorescence spectroscopy in protein conformational changes and intermolecular contacts.BBA advances · 2023Article
- Studying the interaction between PEX5 and its full-length cargo proteins in living cells by a novel Försteŕs resonance energy transfer-based competition assay.Frontiers in cell and developmental biology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Förster resonance energy transfer (FRET) is a widespread technology used to analyze and quantify protein interactions in multiple settings. While FRET is traditionally measured by microscopy, flow cytometry based-FRET is becoming popular within the last decade and more commonly used. Flow cytometry based-FRET offers the possibility to assess FRET in a short time-frame in a high number of cells thereby allowing stringent and statistically robust quantification of FRET in multiple samples. Furthermore, established, simple and easy to implement gating strategies facilitate the adaptation of flow cytometry based-FRET measurements to most common flow cytometers. We here summarize the basics of flow cytometry based-FRET, highlight recent novel developments in this field and emphasize on exciting future perspectives.
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What OpenQuestion holds
Registered trials
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.