ArticleNucleic acids research2017
High-throughput single-base resolution mapping of RNA 2΄-O-methylated residues.
Article in Nucleic acids research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
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Who cites it
87 citing papers in PubMed, 146 citations in OpenAlex.
- Site-specific inhibition of translation initiation via 2'-O-methylation.Nucleic acids research · 2026Article
- A small nucleolar RNA dictates the structure and function of translating ribosomes in Leishmania.Nature communications · 2026Article
- Fibrillarin-mediated 2'-O-methylation serves as a translation brake on uncapped enterovirus RNA.PLoS pathogens · 2026Article
- Article
- SnoRNA Expression and RNA 2'-O-Methylation inbioRxiv : the preprint server for biology · 2026Article
- Review
- Critical structural perturbations of ribozyme active sites induced by 2'-O-methylation commonly used in structural studies.Nucleic acids research · 2026Article
- Genome-wide profiling of RNA 2'-O-methylation in neurons and identification of orphan snoRNA targets.Research square · 2026Article
- Comprehensive mapping of RNA modification dynamics and crosstalk via deep learning and nanopore direct RNA-sequencing.Nature communications · 2026Article
- Genome-wide profiling of RNA 2'-bioRxiv : the preprint server for biology · 2025Article
- Advances in Quantitative Techniques for Mapping RNA Modifications.Life (Basel, Switzerland) · 2025Review
- Computational limitations and future needs to unravel the full potential of 2'-O-methylation and C/D box snoRNAs.RNA biology · 2025Review
- Pseudouridine increases ribosome stability in a thermophilic eukaryote.Nucleic acids research · 2025Article
- 2OMe-LM: predicting 2'-O-methylation sites in human RNA using a pre-trained RNA language model.Bioinformatics (Oxford, England) · 2025Article
- High-throughput approaches for the identification of ribosome heterogeneity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Toward the use of nanopore RNA sequencing technologies in the clinic: challenges and opportunities.Nucleic acids research · 2025Review
- Mapping snoRNA-target RNA interactions in an RNA-binding protein-dependent manner with chimeric eCLIP.Genome biology · 2025Article
- NAIL-MS reveals tRNA and rRNA hypomodification as a consequence of 5-fluorouracil treatment.Nucleic acids research · 2025Article
- Small nucleolar RNA SNORD13H suppresses tumor progression via FBL-dependent 2'-O-methylation in hepatocellular carcinoma.Frontiers in genetics · 2025Article
- The detection, function, and therapeutic potential of RNA 2'-O-methylation.The innovation life · 2025Article
27 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional characterization of the transcriptome requires tools for the systematic investigation of RNA post-transcriptional modifications. 2΄-O-methylation (2΄-OMe) of the ribose moiety is one of the most abundant post-transcriptional modifications of RNA, although its systematic analysis is difficult due to the lack of reliable high-throughput mapping methods. We describe here a novel high-throughput approach, named 2OMe-seq, that enables fast and accurate mapping at single-base resolution, and relative quantitation, of 2΄-OMe modified residues. We compare our method to other state-of-art approaches, and show that it achieves higher sensitivity and specificity. By applying 2OMe-seq to HeLa cells, we show that it is able to recover the majority of the annotated 2΄-OMe sites on ribosomal RNA. By performing knockdown of the Fibrillarin methyltransferase in mouse embryonic stem cells (ESCs) we show the ability of 2OMe-seq to capture 2΄-O-Methylation level variations. Moreover, using 2OMe-seq data we here report the discovery of 12 previously unannotated 2΄-OMe sites across 18S and 28S rRNAs, 11 of which are conserved in both human and mouse cells, and assigned the respective snoRNAs for all sites. Our approach expands the repertoire of methods for transcriptome-wide mapping of RNA post-transcriptional modifications, and promises to provide novel insights into the role of this modification.
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