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Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors
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Optimizing Strategies for Developing Genetically Encoded Voltage Indicators.

Madhuvanthi Kannan1,2, Ganesh Vasan1,2, Vincent A Pieribone1,2,3

  • 1The John B. Pierce Laboratory, New Haven, CT, United States.

Frontiers in Cellular Neuroscience
|March 14, 2019
PubMed
Summary
This summary is machine-generated.

Genetically encoded voltage indicators (GEVIs) offer precise neuronal activity monitoring. This study details GEVI design, optimization, and engineering for improved brain circuit analysis.

Keywords:
ArcLightCiVSDgenetically encoded voltage indicatorsmembrane potentialvoltage sensitivity

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Area of Science:

  • Neuroscience
  • Molecular Biology
  • Biophysics

Background:

  • Genetically encoded optical indicators provide precise neuronal activity recordings in vivo.
  • Genetically encoded voltage indicators (GEVIs) directly sense membrane potential, surpassing calcium indicators for subthreshold and hyperpolarization events.

Purpose of the Study:

  • To outline major GEVI designs and critical optimization properties.
  • To detail the engineering process for developing advanced GEVIs using ArcLight as a prototype.

Main Methods:

  • Review of GEVI designs and essential engineering parameters.
  • Case study using ArcLight and its derivatives for optimization.
  • Overview of GEVI discovery, delivery, and diagnostic methodologies.

Main Results:

  • Identified key properties for GEVI optimization: membrane localization, signal size, signal-to-noise ratio, kinetics, and voltage dependence.
  • Demonstrated a structured approach to probe development based on specific needs.
  • Provided a comprehensive overview of the GEVI engineering pipeline.

Conclusions:

  • GEVI development requires careful optimization of multiple optical and biophysical properties.
  • Systematic engineering approaches, exemplified by ArcLight, are crucial for advancing GEVI technology.
  • GEVIs are powerful tools for dissecting neuronal circuit function.