Sensitive and Selective Next-Generation FRET-based PKA Biosensors
The cyclic AMP (cAMP)/protein kinase A (PKA) signaling pathway regulates diverse cellular processes through precise spatiotemporal control across subcellular compartments. Förster resonance energy transfer (FRET)-based A-kinase activity reporters (AKARs) have enabled live-cell visualization of PKA activity, but their limited dynamic range constrains detection of subtle or compartment-specific signaling events. Here, we present a suite of sixth-generation cyan/yellow FRET-based PKA sensors (the AKAR6 series) with substantially enhanced sensitivity and improved selectivity. Systematic optimization of the FRET donor–acceptor pair and sensor backbone yields superior performance versus previous best-in-class FRET-based AKARs, enabling robust detection of subtle PKA activity changes across diverse experimental modalities, including flow cytometry, fluorescence lifetime-based FRET, and two-photon imaging in brain slices. We further leverage kinome atlas data to engineer a variant with improved selectivity for more accurate visualization of nuclear PKA activity. Using the AKAR6 toolkit, we showed that in contrast to strong GPCR-induced PKA activities across all tested compartments in PC12 cells, growth factors stimulated a significant PKA activity at the trans-Golgi network but no detectable activity at cis-Golgi, signifying highly compartmentalized PKA signaling at the sub-organelle level. Furthermore, NGF and EGF induced sustained and transient PKA activity, respectively, across various intracellular compartments, including the nucleus, suggesting that growth factor-specific temporal controls are maintained across subcellular compartments. Together, the AKAR6 toolkit provides a sensitive, selective, and versatile platform for dissecting compartmentalized PKA signaling across cells and tissues.
Authors
- Su Hyun Kim
- Leyi Huang (ORCID: https://orcid.org/0000-0003-2993-570X)
- J. Z. Zhang
- Xinchang He (ORCID: https://orcid.org/0009-0007-5567-1564)
- Michelle Frei
- Wei Lin
- Jin Zhang
- Jin-Fan Zhang
Publication Details
- Journal
- Repository for Publications and Research Data (ETH Zurich)
- Published
- 2026-02-09
- DOI
- https://doi.org/10.3929/ethz-c-000795782
- Primary Topic
- Neuroscience and Neuropharmacology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00