Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System
Summary: This protocol uses endonuclease-dead, programmable RNA-guided RNA-targeting Cas13 RNases (d)Cas13 proteins fused with fluorescent proteins to visualize and track RNA dynamics in live cells. This protocol details several aspects of the procedure, including gRNA design, fluorescent protein se...
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doaj-faddcdc760a940d7a83f1579246066c92020-11-25T04:08:54ZengElsevierSTAR Protocols2666-16672020-06-0111100037Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 SystemYang Wang0Liang-Zhong Yang1Ling-Ling Chen2State Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; Corresponding authorState Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, ChinaState Key Laboratory of Molecular Biology, Shanghai Key Laboratory of Molecular Andrology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yueyang Road, Shanghai 200031, China; School of Life Science and Technology, ShanghaiTech University, 100 Haike Road, Shanghai 201210, China; Corresponding authorSummary: This protocol uses endonuclease-dead, programmable RNA-guided RNA-targeting Cas13 RNases (d)Cas13 proteins fused with fluorescent proteins to visualize and track RNA dynamics in live cells. This protocol details several aspects of the procedure, including gRNA design, fluorescent protein selection, nuclear localization signal adjustment, raw data analysis, operation steps, and extended optional applications that have been successfully applied in the visualization of NEAT1, SatIII, MUC4, and GCN4 RNAs.For complete information on the use and execution of this protocol, please refer to Yang et al. (2019).http://www.sciencedirect.com/science/article/pii/S2666166720300241 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yang Wang Liang-Zhong Yang Ling-Ling Chen |
spellingShingle |
Yang Wang Liang-Zhong Yang Ling-Ling Chen Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System STAR Protocols |
author_facet |
Yang Wang Liang-Zhong Yang Ling-Ling Chen |
author_sort |
Yang Wang |
title |
Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System |
title_short |
Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System |
title_full |
Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System |
title_fullStr |
Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System |
title_full_unstemmed |
Protocol for Dynamic Imaging of RNA in Living Cells by CRISPR-Cas13 System |
title_sort |
protocol for dynamic imaging of rna in living cells by crispr-cas13 system |
publisher |
Elsevier |
series |
STAR Protocols |
issn |
2666-1667 |
publishDate |
2020-06-01 |
description |
Summary: This protocol uses endonuclease-dead, programmable RNA-guided RNA-targeting Cas13 RNases (d)Cas13 proteins fused with fluorescent proteins to visualize and track RNA dynamics in live cells. This protocol details several aspects of the procedure, including gRNA design, fluorescent protein selection, nuclear localization signal adjustment, raw data analysis, operation steps, and extended optional applications that have been successfully applied in the visualization of NEAT1, SatIII, MUC4, and GCN4 RNAs.For complete information on the use and execution of this protocol, please refer to Yang et al. (2019). |
url |
http://www.sciencedirect.com/science/article/pii/S2666166720300241 |
work_keys_str_mv |
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1724424207996026880 |