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Updated: Jul 12, 2025

DNAzyme-dependent Analysis of rRNA 2’-O-Methylation
Published on: September 16, 2019
RNA molecular recording with an engineered RNA deaminase
Yizhu Lin1, Samentha Kwok1, Abigail E Hein2
1Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA.
Researchers engineered a novel RNA adenosine base editor (rABE) for RNA molecular recording. This new tool, REMORA, accurately maps RNA-protein interactions at single-molecule resolution, overcoming previous limitations.
Area of Science:
- Molecular Biology
- Genetics
- Biotechnology
Background:
- RNA molecular recorders are essential for studying RNA dynamics but are limited by RNA structure and sequence dependence.
- Existing tools like TRIBE, DART, and STAMP have inherent limitations affecting their efficiency and applicability.
Purpose of the Study:
- To develop an improved RNA molecular recording platform with enhanced activity, reduced bias, and lower background.
- To engineer a novel RNA adenosine base editor (rABE) for precise RNA base editing and molecular recording.
- To apply the developed platform for high-resolution mapping of RNA-protein interactions in single cells.
Main Methods:
- Directed evolution platform used to engineer a novel RNA adenosine base editor (rABE).
- Development of REMORA (RNA-encoded molecular recording in adenosines) utilizing the engineered rABE.
- Combination of rABE with APOBEC1 (C-to-U deaminase) and long-read RNA sequencing to measure RNA-binding protein interactions.
Main Results:
- Engineered rABE exhibits high activity, low bias, and low background, improving RNA molecular recording capabilities.
- REMORA successfully measured binding of two RNA-binding proteins (PUM1 and PUM2) on single messenger RNAs.
- Demonstrated competition between PUM1 and PUM2 for binding sites and identified transcript isoform-specific interactions.
Conclusions:
- The engineered rABE and REMORA platform overcome limitations of previous RNA molecular recorders.
- REMORA enables single-molecule, cell-type-specific identification of RNA-protein interactions.
- This technology provides novel insights into RNA regulation, including isoform-specific binding events.
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