Optimized FRET Pairs and Quantification Approaches To Detect the Activation of Aurora Kinase A at Mitosis.

2-color FCCS Aurora kinase A/AURKA fluorescence anisotropy mitosis multiplex FRET superYFP

Journal

ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031

Informations de publication

Date de publication:
23 08 2019
Historique:
pubmed: 19 7 2019
medline: 30 7 2020
entrez: 19 7 2019
Statut: ppublish

Résumé

Genetically encoded Förster's Resonance Energy Transfer (FRET) biosensors are indispensable tools to sense the spatiotemporal dynamics of signal transduction pathways. Investigating the crosstalk between different signaling pathways is becoming increasingly important to follow cell development and fate programs. To this end, FRET biosensors must be optimized to monitor multiple biochemical activities simultaneously and in single cells. In addition, their sensitivity must be increased to follow their activation even when the abundance of the biosensor is low. We describe here the development of a second generation of Aurora kinase A/AURKA biosensors. First, we adapt the original AURKA biosensor-GFP-AURKA-mCherry-to multiplex FRET by using dark acceptors as ShadowG or ShadowY. Then, we use the novel superYFP acceptor protein to measure FRET by 2-color Fluorescence Cross-Correlation Spectroscopy, in cytosolic regions where the abundance of AURKA is extremely low and undetectable with the original AURKA biosensor. These results pave the way to the use of FRET biosensors to follow AURKA activation in conjunction with substrate-based activity biosensors. In addition, they open up the possibility of tracking the activation of small pools of AURKA and its interaction with novel substrates, which would otherwise remain undetectable with classical biochemical approaches.

Identifiants

pubmed: 31317736
doi: 10.1021/acssensors.9b00486
doi:

Substances chimiques

AURKA protein, human EC 2.7.11.1
Aurora Kinase A EC 2.7.11.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2018-2027

Auteurs

Giulia Bertolin (G)

Univ Rennes, CNRS , IGDR (Genetics and Development Institute of Rennes) , UMR 6290, F-35000 Rennes , France.

Florian Sizaire (F)

Univ Rennes, CNRS , IGDR (Genetics and Development Institute of Rennes) , UMR 6290, F-35000 Rennes , France.

Claire Déméautis (C)

Univ Rennes, CNRS , IGDR (Genetics and Development Institute of Rennes) , UMR 6290, F-35000 Rennes , France.

Catherine Chapuis (C)

Univ Rennes, CNRS , IGDR (Genetics and Development Institute of Rennes) , UMR 6290, F-35000 Rennes , France.

Fabienne Mérola (F)

Univ Paris Sud, CNRS , LCP (Laboratoire de Chimie Physique) , UMR 800, F-91400 Orsay , France.

Marie Erard (M)

Univ Paris Sud, CNRS , LCP (Laboratoire de Chimie Physique) , UMR 800, F-91400 Orsay , France.

Marc Tramier (M)

Univ Rennes, CNRS , IGDR (Genetics and Development Institute of Rennes) , UMR 6290, F-35000 Rennes , France.
Univ Rennes , BIOSIT, UMS CNRS 3480 , US INSERM 018, F-35000 Rennes , France.

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Classifications MeSH