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Chen Z, Wang WT, Wang W, Huang J, Liao JY, Zeng S, Qian L. Sensitive Imaging of Cellular RNA via Cascaded Proximity-Induced Fluorogenic Reactions. ACS Appl Mater Interfaces 2022; 14:44054-44064. [PMID: 36153979 DOI: 10.1021/acsami.2c10355] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Owing to its important biological functions, RNA has become a promising molecular biomarker of various diseases. With a dynamic change in its expression level and a relatively low amount within the complicated biological matrix, signal amplification detection based on DNA probes has been put forward, which is helpful for early diagnosis and prognostic prediction. However, conventional methods are confined to cell lysates or dead cells and are not only time-consuming in sample preparation but also inaccessible to the spatial-temporal information of target RNAs. To achieve live-cell imaging of specific RNAs, both the detection sensitivity and intracellular delivery issues should be addressed. Herein, a new cascaded fluorogenic system based on the combination of hybridization chain reactions (HCRs) and proximity-induced bioorthogonal chemistry is developed, in which a bioorthogonal reaction pair (a tetrazine-quenched dye and its complementary dienophile) is brought into spatial proximity upon target RNA triggering the HCR to turn on and amplify the fluorescence in one step, sensitively indicating the cellular distribution of RNA with minimal false positive results caused by unspecific degradation. Facilitated by a biodegradable carrier based on black phosphorus with high loading capacity and excellent biocompatibility, the resulting imaging platform allows wash-free tracking of target RNAs inside living cells.
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Affiliation(s)
- Zhiyan Chen
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Cancer Center, & Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou 310058, China
| | - Wen-Tao Wang
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Cancer Center, & Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou 310058, China
| | - Wenchao Wang
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Cancer Center, & Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou 310058, China
| | - Jinsong Huang
- Department of Liver Disease, Hangzhou Xixi Hospital, Hangzhou 310023, China
| | - Jia-Yu Liao
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Cancer Center, & Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou 310058, China
- Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Hangzhou 310018, China
| | - Su Zeng
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Cancer Center, & Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou 310058, China
| | - Linghui Qian
- Institute of Drug Metabolism and Pharmaceutical Analysis, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Cancer Center, & Hangzhou Institute of Innovative Medicine, Zhejiang University, Hangzhou 310058, China
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Yang LZ, Gao BQ, Huang Y, Wang Y, Yang L, Chen LL. Multi-color RNA imaging with CRISPR-Cas13b systems in living cells. Cell Insight 2022; 1:100044. [PMID: 37192858 PMCID: PMC10120316 DOI: 10.1016/j.cellin.2022.100044] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/09/2022] [Accepted: 06/10/2022] [Indexed: 05/18/2023]
Abstract
Visualizing RNA dynamics is important for understanding RNA function. Catalytically dead (d) CRISPR-Cas13 systems have been established to image and track RNAs in living cells, but efficient dCas13 for RNA imaging is still limited. Here, we analyzed metagenomic and bacterial genomic databases to comprehensively screen Cas13 homologies for their RNA labeling capabilities in living mammalian cells. Among eight previously unreported dCas13 proteins that can be used for RNA labeling, dHgm4Cas13b and dMisCas13b displayed comparable, if not higher, efficiencies to the best-known ones when targeting endogenous MUC4 and NEAT1_2 by single guide (g) RNAs. Further examination of the labeling robustness of different dCas13 systems using the GCN4 repeats revealed that a minimum of 12 GCN4 repeats was required for dHgm4Cas13b and dMisCas13b imaging at the single RNA molecule level, while >24 GCN4 repeats were required for reported dLwaCas13a, dRfxCas13d and dPguCas13b. Importantly, by silencing pre-crRNA processing activity of dMisCas13b (ddMisCas13b) and further incorporating RNA aptamers including PP7, MS2, Pepper or BoxB to individual gRNAs, a CRISPRpalette system was developed to successfully achieve multi-color RNA visualization in living cells.
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Affiliation(s)
- Liang-Zhong Yang
- State 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, Shanghai, China
| | - Bao-Qing Gao
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Youkui Huang
- State 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, Shanghai, China
| | - Ying Wang
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Li Yang
- Center for Molecular Medicine, Children's Hospital, Fudan University and Shanghai Key Laboratory of Medical Epigenetics, International Laboratory of Medical Epigenetics and Metabolism, Ministry of Science and Technology, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Ling-Ling Chen
- State 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, Shanghai, China
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
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Wang F, Wang L, Zou X, Duan S, Li Z, Deng Z, Luo J, Lee SY, Chen S. Advances in CRISPR-Cas systems for RNA targeting, tracking and editing. Biotechnol Adv 2019; 37:708-729. [PMID: 30926472 DOI: 10.1016/j.biotechadv.2019.03.016] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Revised: 03/26/2019] [Accepted: 03/26/2019] [Indexed: 12/21/2022]
Abstract
Clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (Cas) systems, especially type II (Cas9) systems, have been widely used in gene/genome targeting. Modifications of Cas9 enable these systems to become platforms for precise DNA manipulations. However, the utilization of CRISPR-Cas systems in RNA targeting remains preliminary. The discovery of type VI CRISPR-Cas systems (Cas13) shed light on RNA-guided RNA targeting. Cas13d, the smallest Cas13 protein, with a length of only ~930 amino acids, is a promising platform for RNA targeting compatible with viral delivery systems. Much effort has also been made to develop Cas9, Cas13a and Cas13b applications for RNA-guided RNA targeting. The discovery of new RNA-targeting CRISPR-Cas systems as well as the development of RNA-targeting platforms with Cas9 and Cas13 will promote RNA-targeting technology substantially. Here, we review new advances in RNA-targeting CRISPR-Cas systems as well as advances in applications of these systems in RNA targeting, tracking and editing. We also compare these Cas protein-based technologies with traditional technologies for RNA targeting, tracking and editing. Finally, we discuss remaining questions and prospects for the future.
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Affiliation(s)
- Fei Wang
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China; Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Lianrong Wang
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China; Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Xuan Zou
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China; Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology, Yuseong-gu, 34141 Daejeon, Republic of Korea
| | - Suling Duan
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China
| | - Zhiqiang Li
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China
| | - Zixin Deng
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China
| | - Jie Luo
- Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Sang Yup Lee
- Department of Chemical and Biomolecular Engineering (BK21 Plus Program), Korea Advanced Institute of Science and Technology, Yuseong-gu, 34141 Daejeon, Republic of Korea.
| | - Shi Chen
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Brain Center, School of Pharmaceutical Sciences, Zhongnan Hospital, Wuhan University, Wuhan 430071, Hubei, China; Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China.
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