Evidence map›Paper›PMID 41726949›Full record

ArticlebioRxiv : the preprint server for biology2026

Sensitive and Selective Next-Generation FRET-based PKA Biosensors.

Jin-Fan Zhang, Wei Lin, Leyi Huang, Su Hyun Kim, Xinchang He, Michelle S Frei, Haining Zhong, Sohum Mehta, Jin Zhang

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

9 authors.

Jin-Fan ZhangDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-6385-6867
Wei LinDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-2128-241X
Leyi HuangDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.ORCID 0009-0007-0254-7631
Su Hyun KimDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.
Xinchang HeDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.
Michelle S FreiDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-4799-4554
Haining ZhongVollum Institute, Oregon Health and Science University, Portland, Oregon, USA.ORCID 0000-0002-7109-4724
Sohum MehtaDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0003-4764-8579
Jin ZhangDepartment of Pharmacology, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-7145-7823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID41726949
PMCPMC12918875

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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 OpenQuestion graph.