4.8 Article

In Situ Spatial Complementation of Aptamer-Mediated Recognition Enables Live-Cell Imaging of Native RNA Transcripts in Real Time

期刊

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
卷 57, 期 4, 页码 972-976

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.201707795

关键词

bioanalysis; cellular imaging; fluorescence; mRNA; split aptamers

资金

  1. National Natural Science Foundation of China [21390414, 31470970, 21227804, 21329501, 21675167, 31371493, 31571498]
  2. National Basic Research Program of China [2013CB932803, 2013CB933802]
  3. National Key R&D Program of China [2016YFA0201200, 2016YFA0400900]
  4. Youth Innovation Promotion Association from Chinese Academy of Sciences [2015211]
  5. Key Research Program of Frontier Sciences, CAS [QYZDJ-SSW-SLH031, QYZDJ-SSW-SLH019]

向作者/读者索取更多资源

Direct cellular imaging of the localization and dynamics of biomolecules helps to understand their function and reveals novel mechanisms at the single-cell resolution. In contrast to routine fluorescent-protein-based protein imaging, technology for RNA imaging remains less well explored because of the lack of enabling technology. Herein, we report the development of an aptamer-initiated fluorescence complementation (AiFC) method for RNA imaging by engineering a green fluorescence protein (GFP)-mimicking turn-on RNA aptamer, Broccoli, into two split fragments that could tandemly bind to target mRNA. When genetically encoded in cells, endogenous mRNA molecules recruited Split-Broccoli and brought the two fragments into spatial proximity, which formed a fluorophore-binding site in situ and turned on fluorescence. Significantly, we demonstrated the use of AiFC for high-contrast and real-time imaging of endogenous RNA molecules in living mammalian cells. We envision wide application and practical utility of this enabling technology to in vivo single-cell visualization and mechanistic analysis of macromolecular interactions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据