Evidence map›Paper›PMID 42439697›Full record

ArticleCells2026

Red-Shifted Epac-Based FRET cAMP Sensors for All-Optical cAMP Control and Multiparameter Imaging.

Tabea Kressmann, Christian Hermann, Aaron Treder, Thomas Gudermann, Ursula Storch, Michael Mederos Y Schnitzler

Abstract read
In one paragraph

Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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.

Tabea KressmannWalther Straub Institute of Pharmacology and Toxicology, Ludwig Maximilian University of Munich, 80336 Munich, Germany.
Christian HermannInstitute of Pharmacy, Clinical Pharmacy, University of Regensburg, 93053 Regensburg, Germany.
Aaron TrederWalther Straub Institute of Pharmacology and Toxicology, Ludwig Maximilian University of Munich, 80336 Munich, Germany.
Thomas GudermannWalther Straub Institute of Pharmacology and Toxicology, Ludwig Maximilian University of Munich, 80336 Munich, Germany.ORCID 0000-0002-0323-7965
Ursula StorchInstitute of Pharmacy, Clinical Pharmacy, University of Regensburg, 93053 Regensburg, Germany.ORCID 0009-0001-9206-8074
Michael Mederos Y SchnitzlerWalther Straub Institute of Pharmacology and Toxicology, Ludwig Maximilian University of Munich, 80336 Munich, Germany.ORCID 0009-0005-5952-767X

Funding

Deutsche Forschungsgemeinschaft ME 2456/4-1, TRR-152 project no. P26 and TRR-205 project no B14
6 · The paper itself

Abstract

Cyclic adenosine monophosphate (cAMP) is a ubiquitous second messenger downstream of G protein-coupled receptors (GPCRs) and a central regulator of cellular signaling. Genetically encoded exchange proteins directly activated by cAMP (Epac)-based Förster resonance energy transfer (FRET) biosensors enable real-time monitoring of cAMP dynamics in living cells, but commonly used cyan/yellow FRET pairs require short-wavelength excitation, limiting compatibility with multiplex imaging and blue-light optogenetic tools such as bacterial photoactivated adenylyl cyclases (bPACs). Here, we engineered and systematically characterized four red-shifted Epac-based single-chain FRET cAMP sensors combining yellow or orange FRET donors with red fluorescent FRET acceptors. Using ratiometric live-cell imaging, we quantified stimulus-evoked FRET responses and identified Epac

Indexed as

Biosensing TechniquesCyclic AMPFluorescence Resonance Energy TransferGuanine Nucleotide Exchange FactorsCalciumHEK293 CellsHumansCalciumCyclic AMPGuanine Nucleotide Exchange FactorscalciumcAMPdynamic FREToptogenetic

Identifiers

PMID42439697
PMCPMC13360413

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.