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Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons
Published on: August 6, 2014
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Live-cell imaging of RNA dynamics using bright and stable fluorescent RNAs
Fangting Zuo1,2, Ni Su3, Xin Xie2
1Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China.
Nature Protocols
|March 21, 2026
Summary
This study introduces advanced fluorescent RNAs (FRs) for visualizing RNA dynamics in live cells. These tools enable high-resolution imaging of RNA localization and behavior in bacteria and mammalian systems.
Area of Science:
- Molecular Biology
- Cell Biology
- Biotechnology
Background:
- Cellular RNA dynamics are complex, involving coordinated expression, splicing, localization, translation, and degradation.
- Understanding RNA biological functions requires methods for high spatiotemporal resolution monitoring.
- Fluorescent RNAs (FRs) offer a promising approach for live-cell RNA imaging.
Purpose of the Study:
- To provide accessible strategies for visualizing diverse RNA species in live bacteria and mammalian cells using FRs.
- To detail protocols for multiplexed RNA imaging and super-resolution live imaging.
- To enable real-time monitoring of RNA localization and dynamics.
Main Methods:
- Development and application of high-performance FRs (Pepper, Clivia, Okra).
- Tagging RNA of interest with aptamer sequences for FR binding.
- Utilizing orthogonal FRs for multiplexed imaging.
- Implementing super-resolution live imaging techniques.
Main Results:
- Demonstrated easy, efficient, and generalizable strategies for FR-based RNA visualization.
- Achieved high cellular brightness, photostability, and low ion dependence with developed FRs.
- Successfully imaged diverse RNA species in both bacterial and mammalian cells.
- Enabled multiplexed and super-resolution live imaging of RNA.
Conclusions:
- FRs provide powerful tools for real-time, high-resolution RNA imaging in live cells.
- The developed protocols are broadly applicable for studying RNA localization and dynamics.
- This approach facilitates a deeper understanding of RNA biological functions.

