Evidence map›Paper›PMID 42227232›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Combining Fret and Super-Resolution Microscopy Reveals Kinase Activation and Mitochondrial Activity at the Nanoscale.

Nicolas Y Jolivet, Pierre-Jean Desmaison, Xavier Pinson, Arthur Masson, Olivier Delalande, Giulia Bertolin

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Nicolas Y JolivetCNRS, Univ Rennes, IGDR [(Institut De Génétique Et Développement De Rennes)] - UMR 6290, Rennes, France.ORCID https://orcid.org/0000-0002-3734-9797
Pierre-Jean DesmaisonCNRS, Univ Rennes, IGDR [(Institut De Génétique Et Développement De Rennes)] - UMR 6290, Rennes, France.ORCID https://orcid.org/0009-0006-8014-3328
Xavier PinsonUniv Rennes, CNRS, INSERM, BIOSIT [(Biologie, Santé, Innovation Technologique de Rennes)] - UMS 3480, Rennes, France.ORCID https://orcid.org/0000-0003-0773-5061
Arthur MassonInria Center at University of Rennes, France, SAIRPICO Team U1339 INSERM, Institut Curie, Chemical Biology of Cancer Unit, Paris, France.ORCID https://orcid.org/0009-0006-2369-3446
Olivier DelalandeCNRS, Univ Rennes, IGDR [(Institut De Génétique Et Développement De Rennes)] - UMR 6290, Rennes, France.ORCID https://orcid.org/0009-0003-6789-2867
Giulia BertolinCNRS, Univ Rennes, IGDR [(Institut De Génétique Et Développement De Rennes)] - UMR 6290, Rennes, France.ORCID https://orcid.org/0000-0002-7359-5733

Funding

Centre National de la Recherche Scientifique (CNRS)Fondation pour la Recherche MédicaleFrench National Research Agency ANR-21-CE11-0002-01Ligue Contre le CancerUniversity of Rennes
6 · The paper itself

Abstract

Protein kinases are key regulators of intracellular signaling in specific subcellular compartments and in micro- or nano-domains. Genetically encoded biosensors based on Förster's resonance energy transfer (FRET) are powerful tools to track kinase dynamics. Yet, they are typically limited by spatial resolution. Aurora kinase A (AURKA), a multifunctional serine/threonine kinase, has recently emerged as a critical regulator of mitochondrial physiology. However, visualising AURKA activation and activity with sub-diffraction precision remains a challenge. Here, we introduce BioSenSRRF, a versatile approach combining conventional FRET biosensors with super-resolution radial fluctuations (SRRF) microscopy. BioSenSRRF requires no modification of existing probes, can be implemented using standard microscopy setups, and is supported by publicly available image analysis tools . With BioSenSRRF, we uncover that mitochondrial AURKA activation and activity are compartmentalized into distinct mitochondrial domains containing the ATP synthase. These subdomains depend on AURKA catalytic activity, and they can be altered using validated AURKA inhibitors. Finally, we demonstrate that the cancer-associated polymorphism F31I enhances AURKA activation and ATP production on ATP synthase-enriched subdomains. Altogether, BioSenSRRF provides a broadly accessible framework to enhance the spatial resolution of genetically encoded biosensors. This strategy opens new avenues for dissecting the subcellular organization of kinases and their contribution to physiology and disease.

Indexed as

Aurora Kinase AFluorescence Resonance Energy TransferMitochondriaBiosensing TechniquesHumansAURKA protein, humanAurora Kinase AAURKAFRET biosensorsmetabolismmitochondriaSRRF super‐resolution microscopy

Identifiers

PMID42227232
PMCPMC13325902

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Registered trials

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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.