ArticleNucleic acids research2019
Click-encoded rolling FISH for visualizing single-cell RNA polyadenylation and structures.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Visualizing epigenetic modifications and their spatial proximities in single cells using three DNA-encoded amplifying FISH imaging strategies: BEA-FISH, PPDA-FISH and Cell-TALKING.Nature protocols · 2025Article
- Spatial Visualization of A-to-I Editing in Cells Using Endonuclease V Immunostaining Assay (EndoVIA).ACS central science · 2024Article
- RNA-Responsive gRNAs for Controlling CRISPR Activity: Current Advances, Future Directions, and Potential Applications.The CRISPR journal · 2022Review
- Selected In Situ Hybridization Methods: Principles and Application.Molecules (Basel, Switzerland) · 2021Review
- Cellular macromolecules-tethered DNA walking indexing to explore nanoenvironments of chromatin modifications.Nature communications · 2021Article
- Review
- Nucleic Acids Analysis.Science China. Chemistry · 2021Review
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6 authors.
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Abstract
Spatially resolved visualization of RNA processing and structures is important for better studying single-cell RNA function and landscape. However, currently available RNA imaging methods are limited to sequence analysis, and not capable of identifying RNA processing events and structures. Here, we developed click-encoded rolling FISH (ClickerFISH) for visualizing RNA polyadenylation and structures in single cells. In ClickerFISH, RNA 3' polyadenylation tails, single-stranded and duplex regions are chemically labeled with different clickable DNA barcodes. These barcodes then initiate DNA rolling amplification, generating repetitive templates for FISH to image their subcellular distributions. Combined with single-molecule FISH, the proposed strategy can also obtain quantitative information of RNA of interest. Finally, we found that RNA poly(A) tailing and higher-order structures are spatially organized in a cell type-specific style with cell-to-cell heterogeneity. We also explored their spatiotemporal patterns during cell cycle stages, and revealed the highly dynamic organization especially in S phase. This method will help clarify the spatiotemporal architecture of RNA polyadenylation and structures.
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