4.8 Article

Quantitative profiling of pseudouridylation dynamics in native RNAs with nanopore sequencing

Journal

NATURE BIOTECHNOLOGY
Volume 39, Issue 10, Pages 1278-+

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41587-021-00915-6

Keywords

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Funding

  1. University of New South Wales International PhD Fellowship
  2. FPI Severo-Ochoa Fellowship by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC)
  3. 'la Caixa' INPhINIT PhD Fellowships [LCF/BQ/DI18/11660028, LCF/BQ/DI19/11730036]
  4. European Union's Horizon 2020 Research and Innovation Programme under Marie Skodowska-Curie grant [713673]
  5. Australian Research Council [DP180103571]
  6. MEIC [PGC2018-098152-A-100]
  7. Centro de Excelencia Severo Ochoa
  8. CERCA Programme/Generalitat de Catalunya

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This study demonstrated the potential of nanopore RNA sequencing for detecting and identifying various RNA modifications, including pseudouridine and 2'-O-methylation. By focusing on pseudouridine modification sites, the researchers revealed the distribution and dynamics of these modifications in cellular RNAs. The development of a software tool to estimate modification stoichiometries at each site provides a valuable tool for further research on RNA modifications.
Nanopore RNA sequencing shows promise as a method for discriminating and identifying different RNA modifications in native RNA. Expanding on the ability of nanopore sequencing to detect N-6-methyladenosine, we show that other modifications, in particular pseudouridine (psi) and 2 '-O-methylation (Nm), also result in characteristic base-calling 'error' signatures in the nanopore data. Focusing on psi modification sites, we detected known and uncovered previously unreported psi sites in mRNAs, non-coding RNAs and rRNAs, including a Pus4-dependent psi modification in yeast mitochondrial rRNA. To explore the dynamics of pseudouridylation, we treated yeast cells with oxidative, cold and heat stresses and detected heat-sensitive psi-modified sites in small nuclear RNAs, small nucleolar RNAs and mRNAs. Finally, we developed a software, nanoRMS, that estimates per-site modification stoichiometries by identifying single-molecule reads with altered current intensity and trace profiles. This work demonstrates that Nm and psi RNA modifications can be detected in cellular RNAs and that their modification stoichiometry can be quantified by nanopore sequencing of native RNA. Nanopore sequencing detects pseudouridine and 2 '-O-methylation modifications in cellular RNAs.

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