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smiFISH and FISH-quant - a flexible single RNA detection approach with super-resolution capability
Nikolay Tsanov1,1, Aubin Samacoits2,3, Racha Chouaib1,4,5
1Institut de Génétique Moléculaire de Montpellier, UMR 5535 CNRS, 1919 route de Mende, 34293 Montpellier cedex 5, France.
Nucleic Acids Research
|September 8, 2016
Summary
Single molecule inexpensive FISH (smiFISH) offers a cost-effective and flexible method for visualizing and quantifying RNA within single cells. This approach enhances detection efficiency and enables multicolor imaging and super-resolution microscopy for detailed RNA analysis.
Area of Science:
- Molecular Biology
- Cell Biology
- Genetics
Background:
- Single molecule FISH (smFISH) is crucial for studying gene expression and RNA localization at the individual mRNA level within cells.
- Existing smFISH methods can be costly and require custom probe synthesis for each experiment.
Purpose of the Study:
- To develop a cost-effective, flexible, and highly efficient RNA visualization and quantification method.
- To enable multicolor smFISH and super-resolution imaging without extensive probe re-design.
- To provide automated software for probe design and image analysis.
Main Methods:
- Developed single molecule inexpensive FISH (smiFISH) using unlabelled primary probes and labelled secondary detector oligonucleotides.
- Demonstrated multicolor labeling by switching secondary detectors with the same primary probes.
- Integrated smiFISH with expansion microscopy using acrydite detector oligonucleotides for 3D super-resolution imaging.
- Created automated software for probe design and quantitative analysis of smFISH images.
Main Results:
- smiFISH significantly increases mRNA detection efficiency due to the use of more probes per target.
- The method allows flexible multicolor RNA detection without synthesizing new probe sets.
- Combined smiFISH with expansion microscopy to resolve RNA transcripts in 3D below the diffraction limit.
- Automated software streamlines the entire workflow from probe design to data analysis.
Conclusions:
- smiFISH provides a powerful, accessible, and versatile workflow for single-cell RNA analysis.
- The technique facilitates high-efficiency, multicolor, and super-resolution imaging of RNA.
- Automated tools simplify and enhance the quantitative analysis of RNA molecules in single cells.

