Photoactivatable RNA Tags for Subcellular Photolabeling of RNA

Photoactivatable fluorescent proteins enable precise analysis of subcellular protein dynamics, but a comparable approach for photoactivated tagging subcellular RNA remains lacking. Here, we develop PA-Broccoli, a photoactivatable fluorescent RNA tag that mimics photoactivatable green fluorescent proteins (PA-GFP). Similar to PA-GFP, PA-Broccoli is initially nonfluorescent but emits intense green fluorescence after ultraviolet light irradiation. Notably, complete photoactivation of PA-Broccoli results in a 6000-fold fluorescence enhancement with a rapid activation (<i>t</i><sub>1/2</sub> = ∼3 s), outperforming PA-GFP in sensitivity and speed by 1-2 orders of magnitude. Using PA-Broccoli, we first uncovered that cytoplasmic RNAs display restricted mobility compared to proteins. In addition, we revealed that circular RNAs undergo Ran-GTP-dependent nuclear export and slower cytoplasmic accumulation than linear mRNAs. Third, real-time imaging of mRNA within stress granules indicates that mRNA exchange throughout these granules is energy-dependent. These findings establish PA-Broccoli as a transformative tool for live-cell RNA tracking, offering unprecedented insights into RNA dynamics and regulatory mechanisms.

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-08-25
DOI
https://doi.org/10.1021/jacs.5c07380
Citations
1
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
0.81

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article

Photoactivatable RNA Tags for Subcellular Photolabeling of RNA

Zhenyin Chen, Caihong Zeng, Xiaoxiao Rong, Pingyong Xu et al.
1 citations
Journal of the American Chemical Society
RNA Interference and Gene Delivery
0.81
article

Photoactivatable RNA Tags for Subcellular Photolabeling of RNA

Zhenyin Chen, Caihong Zeng, Xiaoxiao Rong, Pingyong Xu, Samie R. Jaffrey, Haodong Jiang, Yuan Lin, Liuqin He, Fangqing Zhao, Xing Li, Yulong Yin, Jinyang Zhang, Tao Yao, Wankai Gao
article en
1 citations

Abstract

Photoactivatable fluorescent proteins enable precise analysis of subcellular protein dynamics, but a comparable approach for photoactivated tagging subcellular RNA remains lacking. Here, we develop PA-Broccoli, a photoactivatable fluorescent RNA tag that mimics photoactivatable green fluorescent proteins (PA-GFP). Similar to PA-GFP, PA-Broccoli is initially nonfluorescent but emits intense green fluorescence after ultraviolet light irradiation. Notably, complete photoactivation of PA-Broccoli results in a 6000-fold fluorescence enhancement with a rapid activation (<i>t</i><sub>1/2</sub> = ∼3 s), outperforming PA-GFP in sensitivity and speed by 1-2 orders of magnitude. Using PA-Broccoli, we first uncovered that cytoplasmic RNAs display restricted mobility compared to proteins. In addition, we revealed that circular RNAs undergo Ran-GTP-dependent nuclear export and slower cytoplasmic accumulation than linear mRNAs. Third, real-time imaging of mRNA within stress granules indicates that mRNA exchange throughout these granules is energy-dependent. These findings establish PA-Broccoli as a transformative tool for live-cell RNA tracking, offering unprecedented insights into RNA dynamics and regulatory mechanisms.

Journal of the American Chemical SocietyVol. 147(35)
National Academy of Medicine (US), Hunan Normal University (CN), Chinese Academy of Sciences (CN), Cornell University (US), Affiliated Hospital of Southwest Medical University (CN), Institute of Subtropical Agriculture (CN), Institute of Biophysics (CN), Laboratoire des Biomolécules (FR), University of Chinese Academy of Sciences (CN), Institute of Zoology (CN), Hebei University (CN), Weill Cornell Medicine (US)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Beijing Municipal Natural Science Foundation, Institute of Zoology, Chinese Academy of Sciences, National Key Research and Development Program of China, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 24%
RNA Interference and Gene Delivery
0.81
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