Kressmann, Tabea; Herrmann, Christian; Treder, Aaron; Gudermann, Thomas; Storch, Ursula; Mederos y Schnitzler, Michael (2026): Red-Shifted Epac-Based FRET cAMP Sensors for All-Optical cAMP Control and Multiparameter Imaging. Cells, 15 (13): 1223. ISSN 2073-4409
Published Article
cells-15-01223.pdf
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 Epacred4 as the best-performing variant, showing an approximately 55% decrease in normalized FRET after forskolin stimulation. Epacred4 also reliably detected Gi/o-mediated decreases in cAMP following μ-opioid receptor activation. Brief 405 nm light pulses induced graded and reversible cAMP elevations using the low dark-activity variant bPAC-F198Y. Furthermore, Epacred4 enabled analysis of cAMP recovery kinetics during phosphodiesterase inhibition and multiplex imaging of cAMP and intracellular Ca2+ using Fura-2 with minimal spectral and pH-related interference under physiological imaging conditions. Together, Epacred4 represents a robust red-shifted cAMP sensor for optogenetic and multiplex signaling studies.
| Doc-Type: | Article (LMU) |
|---|---|
| Organisational unit (Faculties): | 07 Medicine > Walther Straub Institute of Pharmacology and toxicology |
| DFG subject classification of scientific disciplines: | Life sciences |
| Date Deposited: | 28. Jul 2026 06:56 |
| Last Modified: | 28. Jul 2026 06:56 |
| URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/2734 |
| DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 503157935 |
| DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 504513823 |
| DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 378045627 |
