Quantification and transcriptome profiling reveal abundant, dynamic and translatable dephospho-CoA-capped RNAs
Hao Hu1, Qiyue Zhang2, Xuan Ma3
1Beijing Advanced Center of RNA Biology (BEACON), State Key Laboratory for Gene Function and Modulation Research, Peking-Tsinghua Joint Center for Life Sciences, School of Life Sciences, Peking University, Beijing, China. hao.hu@pku.edu.cn.
Cellular metabolites like dephospho-CoA (dpCoA) can cap RNA. Researchers identified a specific enzyme for dpCoA-RNA, enabling new methods to study its role in gene expression across species.
Area of Science:
- Molecular Biology
- RNA Biology
- Biochemistry
Background:
- Cellular metabolites are increasingly recognized as noncanonical RNA caps.
- Dephospho-CoA (dpCoA) RNA caps, though discovered early, remain poorly understood due to limited detection methods.
Purpose of the Study:
- To identify a specific enzyme for dpCoA-RNA decapping.
- To develop novel methods for quantifying and profiling dpCoA-RNA.
- To investigate the biological significance and characteristics of dpCoA-RNA.
Main Methods:
- Biochemical and structural analysis to identify Arabidopsis NUDT11 as a dpCoA-RNA decapping enzyme.
- Development of biochemical and transcriptomic assays for dpCoA-RNA quantification.
- Comparative analysis of dpCoA-RNA and m7G-RNA in Arabidopsis.
Main Results:
- Arabidopsis NUDT11 was identified as a specific dpCoA-RNA decapping enzyme.
- dpCoA-RNAs were detected across species and show tissue/condition-specific variations.
- In Arabidopsis, dpCoA-RNAs have unique transcription start sites, respond rapidly to high light, and are abundant (up to 15% of m7G-RNA).
- dpCoA-RNAs are associated with translating ribosomes and can be translated in human cells.
Conclusions:
- A specific decapping enzyme for dpCoA-RNA was identified, enabling new detection and profiling tools.
- dpCoA-RNA is a dynamic RNA cap present across species with potential roles in gene expression regulation.
- This study provides a toolkit for future research into dpCoA-RNA biology.
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