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Related Experiment Videos

Fluorescence imaging of physiological activity in complex systems using GFP-based probes.

Atsushi Miyawaki1

  • 1Laboratory for Cell Function Dynamics, Advanced Technology Development Group, Brain Science Institute, RIKEN 2-1 Hirosawa, Wako City, Saitama 351-0198, Japan. matsushhi@brain.riken.go.jp

Current Opinion in Neurobiology
|November 25, 2003
PubMed
Summary

Genetically encoded probes allow optical imaging of cell activity by fusing fluorescent proteins to signaling proteins. This technique deciphers complex spatio-temporal information in living tissues.

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Area of Science:

  • Biophysics
  • Molecular Biology
  • Cellular Neuroscience

Background:

  • Optical imaging is crucial for understanding cellular activity in excitable cells.
  • Existing methods often face limitations in specificity and physiological relevance.
  • Genetically encoded probes offer a novel approach to visualize dynamic cellular processes.

Purpose of the Study:

  • To develop genetically encoded probes for optical imaging of excitable cell activity.
  • To enhance the efficiency and physiological context of signal extraction.
  • To enable deciphering of spatio-temporal information in complex tissues.

Main Methods:

  • Fusion of fluorescent proteins with functional signaling proteins (e.g., for membrane potential, calcium, cyclic nucleotides, pH).

Related Experiment Videos

  • Utilizing specific promoters and targeting signals for probe delivery.
  • Directing probes to specific tissues, cell types, and subcellular compartments in intact organisms.

    • Main Results:

    • Successful construction of genetically encoded probes for optical imaging.
    • Demonstrated efficient and context-relevant signal extraction from physiological systems.
    • Enabled visualization of spatio-temporal dynamics in complex biological tissues.

    Conclusions:

    • Genetically encoded probes represent a powerful tool for optical imaging of cellular activity.
    • This technology significantly advances the study of spatio-temporal signaling in vivo.
    • Future applications include detailed analysis of neural circuits and other excitable systems.