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Related Experiment Video

Updated: May 9, 2026

An Efficient Protocol to Assess ERK Activity Modulation in Early Zebrafish Noonan Syndrome Models via Live FRET Microscopy and Immunofluorescence
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REV, A BRET-Based Sensor of ERK Activity.

Chanjuan Xu1, Marion Peter, Nathalie Bouquier

  • 1CNRS, UMR-5203, Institut de Génomique Fonctionnelle , Montpellier , France ; INSERM, U661 , Montpellier , France ; UMR-5203, Universités de Montpellier 1 & 2 , Montpellier , France ; Sino-France Laboratory for Drug Screening, Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology , Wuhan , China.

Frontiers in Endocrinology
|August 3, 2013
PubMed
Summary

A new biosensor, REV, tracks Extracellular signal-regulated kinases (ERK) activity in real-time. This tool reveals how ERK activation patterns in neurons encode stimulus information, advancing our understanding of cellular signaling.

Keywords:
BRET imagingRluc8-ERKsubstrate-Venusbioluminescence resonance energy transferbiosensorextracellular signal-regulated kinasesfluorescence lifetime imaging microscopyspatio-temporal signaling

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Area of Science:

  • Cellular signaling and molecular biology
  • Neuroscience and cell dynamics

Background:

  • Cellular signaling networks process environmental cues through dynamic spatial and temporal integration.
  • Bioluminescence resonance energy transfer (BRET)-based biosensors offer high sensitivity for monitoring molecular events in living cells.
  • Extracellular signal-regulated kinases (ERK) are crucial for diverse cellular functions, with activation patterns potentially encoding specific information.

Purpose of the Study:

  • To engineer and validate a novel BRET-based biosensor for monitoring Extracellular signal-regulated kinases (ERK) activity.
  • To investigate the spatio-temporal dynamics of ERK activation in neurons.
  • To determine how ERK activation patterns encode information about external stimuli.

Main Methods:

  • Development of a BRET-based biosensor, Rluc8-ERKsubstrate-Venus (REV), for ERK activity.
  • Validation of REV by correlating BRET changes with ERK phosphorylation.
  • Application of the REV sensor in neurons to observe ERK activation in response to stimuli.

Main Results:

  • The REV biosensor demonstrated BRET changes that correlated with ERK phosphorylation, confirming its ability to report kinase activity.
  • In neurons, the strength, location, and timing of ERK activation were modulated by the nature of the stimulus.
  • These findings indicate that the spatio-temporal modulation of ERK activation encodes specific information about the initial stimulus.

Conclusions:

  • The REV biosensor is a suitable tool for studying biological questions related to ERK signaling.
  • Dynamic modulation of ERK activation in neurons plays a critical role in specifying cellular responses to stimuli.
  • This work provides a new method for dissecting complex signaling events in real-time.