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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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Genetically encodable tagging and sensing systems for fluorescent RNA imaging
Zhimei Huang1, Xiaoyan Guo1, Xianbo Ma1
1State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, PR China.
Biosensors & Bioelectronics
|October 17, 2022
Summary
Genetically encodable tagging and sensing (GETS) systems enable live cell imaging of RNA dynamics. These advanced tools, including CRISPR-Cas9/13, offer powerful methods for RNA labeling, tracking, and sensing in living systems.
Area of Science:
- Molecular Biology
- Cell Biology
- Biotechnology
Background:
- Live cell imaging of RNA is essential for understanding biological processes.
- RNA dynamics, including abundance and localization, pose significant imaging challenges.
- Genetically encodable tagging and sensing (GETS) systems offer promising solutions for live-cell RNA analysis.
Purpose of the Study:
- To review recent advancements in GETS systems for RNA tagging and sensing in live cells.
- To highlight the applications of various GETS systems in RNA labeling and tracking.
- To discuss the engineering of GETS for fluorogenic RNA labeling and sensing.
Main Methods:
- Review of GETS systems utilizing MS2-bacteriophage-MS2 coat protein, pumilio homology domain, and CRISPR-Cas9/13.
- Elaboration on engineered light-up RNA aptamers for fluorogenic RNA labeling.
- Discussion of CRISPR-Cas9 systems and RNA aptamer-stabilized fluorogenic proteins for enhanced RNA sensing.
Main Results:
- GETS systems provide effective tools for RNA labeling and tracking in live cells.
- Engineered aptamers and CRISPR-based systems enable fluorogenic RNA detection.
- Advances in GETS facilitate the study of RNA dynamics with high spatiotemporal resolution.
Conclusions:
- GETS systems represent a significant advancement in live-cell RNA imaging and sensing.
- Continued development of GETS will further elucidate RNA biology in living systems.
- These systems offer powerful capabilities for future biological research.
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