Evidence map›Paper›PMID 30567409›Full record

ReviewGenes2018

Detection and Analysis of RNA Ribose 2'-O-Methylations: Challenges and Solutions.

Yuri Motorin, Virginie Marchand

Abstract readReview
In one paragraph

Review in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. snoCLASH Reveals Extensive snoRNA-mRNA Interaction Networks.bioRxiv : the preprint server for biology · 2025
    Article
  6. Synthesis of Nucleoside Derivatives by Biomimetic Ester Migration.Chembiochem : a European journal of chemical biology · 2025
    Article
  7. Article
  8. High-throughput approaches for the identification of ribosome heterogeneity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. 2'-RNA (New York, N.Y.) · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Mapping the tRNA modification landscape ofFrontiers in microbiology · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yuri MotorinUMR7365 IMoPA, Biopôle, CNRS-Lorraine University, 9 Avenue de la Forêt de Haye, 54505 Vandoeuvre-les-Nancy, France. motorine5@univ-lorraine.fr.ORCID 0000-0002-8018-334X
Virginie MarchandUMS2008 IBSLor, Biopôle, CNRS-Lorraine University-INSERM, 9 Avenue de la Forêt de Haye, 54505 Vandoeuvre-les-Nancy, France. virginie.marchand@univ-lorraine.fr.ORCID 0000-0002-8537-1139

Funding

Agence Nationale de la Recherche HTRNA-Mod ANR-13-ISV8-0001Conseil Régional de Lorraine Aberrant RNA methylation
6 · The paper itself

Abstract

Ribose 2'-O-methylation is certainly one of the most common RNA modifications found in almost any type of cellular RNA. It decorates transfer RNAs (tRNAs), ribosomal RNAs (rRNAs), small nuclear RNAs (snRNAs) (and most probably small nucleolar RNAs, snoRNAs), as well as regulatory RNAs like microRNAs (miRNAs) and Piwi-interacting RNAs (piRNAs), and finally, eukaryotic messenger RNAs (mRNAs). Due to this exceptional widespread of RNA 2'-O-methylation, considerable efforts were made in order to precisely map these numerous modifications. Extensive studies of RNA 2'-O-methylation were also stimulated by the discovery of C/D-box snoRNA-guided machinery, which insures site-specific modification of hundreds 2'-O-methylated residues in archaeal and eukaryotic rRNAs and some other RNAs. In this brief review we discussed both traditional approaches of RNA biochemistry and also modern deep sequencing-based methods, used for detection/mapping and quantification of RNA 2'-O-methylations.

Indexed as

2′OMe-Seqdeep sequencingdetectionNm-SeqquantificationRiboMethSeqribose methylationRibOxi-SeqRNA 2′-O-methylation

Identifiers

PMID30567409
PMCPMC6316082

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.