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Fluorescence Activated Cell Sorting of Plant Protoplasts
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smFISH for Plants.

Sahar Hani1,2, Caroline Mercier1,3, Pascale David1

  • 1Aix Marseille Univ, CEA, CNRS, BIAM, UMR7265, Saint-Paul lez Durance, France.

Methods in Molecular Biology (Clifton, N.J.)
|March 19, 2024
PubMed
Summary

We present a single-molecule fluorescence in situ hybridization (smFISH) protocol optimized for plants. This method enables visualization and quantification of RNA molecules, revealing gene expression and RNA dynamics at the single-molecule level.

Keywords:
ImagingPlantRNASingle-moleculeSingle moleculeTranscriptionsmFISH

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Area of Science:

  • Molecular Biology
  • Plant Science
  • Genetics

Background:

  • Single-molecule fluorescence in situ hybridization (smFISH) is crucial for visualizing and quantifying RNA at the single-molecule level.
  • Its application in plants is limited due to specific hybridization and imaging challenges.
  • Understanding gene expression and RNA dynamics in plants requires advanced molecular techniques.

Purpose of the Study:

  • To develop and present an optimized smFISH experimental workflow for plant research.
  • To overcome existing challenges in applying smFISH techniques to plant tissues.
  • To enable high-resolution analysis of gene expression and RNA dynamics in plants.

Main Methods:

  • Detailed protocol for sample preparation in plants.
  • Optimized probe hybridization strategies for plant tissues.
  • Advanced signal detection techniques for single RNA visualization.

Main Results:

  • Successfully adapted smFISH for plant samples, overcoming previous limitations.
  • Demonstrated visualization and quantification of individual RNA molecules in intact plant cells.
  • Established a robust workflow for analyzing gene expression at the single-molecule level in plants.

Conclusions:

  • The presented smFISH protocol significantly enhances the study of gene expression in plants.
  • This technique provides novel insights into RNA dynamics and cellular heterogeneity in whole plants.
  • The workflow holds great promise for advancing plant molecular biology research.