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Updated: May 23, 2026

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis
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Quantitative imaging using genetically encoded sensors for small molecules in plants.

Sakiko Okumoto1

  • 1Department of Plant Pathology, Physiology and Weed Science, Virginia Tech, Blacksburg, VA 24061, USA. sokumoto@vt.edu

The Plant Journal : for Cell and Molecular Biology
|March 28, 2012
PubMed
Summary

Genetically encoded sensors enable quantitative imaging of biomolecule dynamics in live cells. Recent advancements have made these tools highly effective for plant biology research, revealing specific cellular behaviors.

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Area of Science:

  • Live-cell imaging
  • Molecular biosciences
  • Plant biology

Background:

  • Quantitative imaging provides high spatio-temporal resolution of biomolecule dynamics.
  • Genetically encoded, protein-based sensors have expanded imaging capabilities beyond traditional dyes.
  • These sensors are non-invasive and can be introduced via transgenic methods.

Purpose of the Study:

  • To review the progress in genetically encoded sensor development over the past 15 years.
  • To highlight significant discoveries in plant biology enabled by these sensors.
  • To underscore the potential for future discoveries using advanced sensor technology.

Main Methods:

  • Development and application of genetically encoded, protein-based sensors.
  • Transgenic introduction of sensors into live cells, including plant cells.

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  • Quantitative live-cell imaging techniques.
  • Main Results:

    • Significant expansion in the number and improved functional properties of genetically encoded sensors.
    • Technical advancements have simplified the application of these sensors in plants.
    • Calcium indicator proteins are now standard tools in many plant laboratories.
    • Initial applications have revealed specific cellular biomolecule dynamics in plants.

    Conclusions:

    • Genetically encoded sensors are powerful, non-invasive tools for quantitative live-cell imaging.
    • Their application in plant biology is becoming increasingly straightforward and impactful.
    • Further discoveries in plant cellular processes are anticipated with continued sensor development and use.