Evidence mapPaperPMID 42382015Full record

ArticleFrontiers in molecular biosciences2026

Bound or unbound: mapping and monitoring receptor oligomerization by time-resolved fluorescence live-cell imaging.

Annemarie Greife, Ruiqi Liu, Paul S Köhler, Katrin G Heinze, Katherina Hemmen, Thomas-Otavio Peulen

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2026. 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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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Annemarie Greife *Molecular Physical Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Ruiqi Liu *South China Biodiversity Research Center, School of Life Sciences, Guangzhou University, Guangzhou, China.
Paul S KöhlerRudolf-Virchow-Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany.
Katrin G HeinzeRudolf-Virchow-Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany.
Katherina HemmenRudolf-Virchow-Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany.
Thomas-Otavio PeulenRudolf-Virchow-Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg (JMU), Würzburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding protein oligomerization in living cells is essential for elucidating cellular signaling and regulation, yet quantitative analysis remains challenging due to heterogeneous expression levels, dynamic interactions, and limited access to absolute protein concentrations. Here, we present a standardized, open-source framework for quantifying protein assemblies in living cells by integrating Förster Resonance Energy transfer (FRET), fluorescence lifetime and anisotropy imaging (heteroFRET and homoFRET) with molecular brightness-based concentration estimation and image analysis. Using natural variants of a vertebrate GPCR, the melanocortin-4 receptor (MC4R-A and MC4R-B2), as a model system, we demonstrate how to discriminate monomers, dimers, and higher-order oligomers, extract inter-fluorophore distance distributions, and determine association constants under physiologically relevant conditions in living cells. Standard fluorescent protein tags report on proximity and oligomerization via Homo- and HeteroFRET. Association constants are quantified using the variable protein expression in living cells and the spectroscopy readouts. By high-content imaging we overcome the biological noise and attain data qualities comparable to conventional biochemical

Indexed as

FLIM (fluorescence lifetime imaging)GPCRhomoFRETlive-cell FRET spectroscopyMC4Rmembrane protein affinitiesprotein-protein interactions

Identifiers

PMID42382015
PMCPMC13314469

What Socratic holds

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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 Socratic graph.