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Related Concept Videos

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Construction of Cell-based Neurotransmitter Fluorescent Engineered Reporters CNiFERs for Optical Detection of Neurotransmitters In Vivo
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Genetically Encoded Fluorescent Indicators for Imaging Brain Chemistry.

Xiaoke Bi1, Connor Beck1, Yiyang Gong1

  • 1Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.

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|April 30, 2021
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Genetically encoded fluorescent indicators offer advanced optical imaging for neural activity. These tools track neurotransmitter and calcium dynamics in vivo with improved performance.

Keywords:
genetically encoded calcium indicatorsgenetically encoded fluorescent indicatorsgenetically encoded neurotransmitter indicatorsneural imagingprotein engineering

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Area of Science:

  • Neuroscience
  • Biochemistry
  • Optical Imaging

Background:

  • Genetically encoded fluorescent indicators (GEFIs) are crucial for monitoring neural activity.
  • Advances in protein engineering enhance GEFI dynamic range, kinetics, and spectral properties.
  • GEFIs enable detection of neurotransmitter and calcium dynamics in vitro and in vivo.

Purpose of the Study:

  • To review current trends in genetically encoded fluorescent indicators for neurotransmitters and calcium.
  • To focus on key metrics and in vivo applications of these indicators.

Main Methods:

  • Review of recent developments in protein engineering and screening strategies for GEFIs.
  • Analysis of studies utilizing GEFIs for neurotransmitter and calcium sensing.
  • Focus on optical imaging techniques combined with GEFIs.

Main Results:

  • Improved GEFIs demonstrate high spatiotemporal resolution for neural activity detection.
  • GEFIs successfully detect neurotransmitter and calcium dynamics with high signal-to-noise ratio.
  • Applications span multiple temporal and spatial scales in vitro and in vivo.

Conclusions:

  • Genetically encoded fluorescent indicators are powerful tools for neuroscience research.
  • Ongoing advancements continue to improve their utility for in vivo brain chemistry monitoring.
  • These indicators are essential for understanding neural function at various scales.