Evidence map›Paper›PMID 28031372›Full record

ArticleNucleic acids research2017

High-throughput identification of C/D box snoRNA targets with CLIP and RiboMeth-seq.

Rafal Gumienny, Dominik J Jedlinski, Alexander Schmidt, Foivos Gypas, Georges Martin, Arnau Vina-Vilaseca, Mihaela Zavolan

Open access · goldAbstract read
In one paragraph

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 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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, 68 citations in OpenAlex.

  1. Review
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  5. The zebrafish (NAR genomics and bioinformatics · 2025
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  10. 2'-RNA (New York, N.Y.) · 2024
    Review
  11. Review
  12. A snoRNA-tRNA modification network governs codon-biased cellular states.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
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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

7 authors at 1 institution in 1 country.

Rafal GumiennyComputational and Systems Biology, Biozentrum, University of Basel, Switzerland.
Dominik J JedlinskiComputational and Systems Biology, Biozentrum, University of Basel, Switzerland.
Alexander SchmidtProteomics Core Facility, Biozentrum, University of Basel, Switzerland.
Foivos GypasComputational and Systems Biology, Biozentrum, University of Basel, Switzerland.
Georges MartinComputational and Systems Biology, Biozentrum, University of Basel, Switzerland.
Arnau Vina-VilasecaComputational and Systems Biology, Biozentrum, University of Basel, Switzerland.
Mihaela ZavolanComputational and Systems Biology, Biozentrum, University of Basel, Switzerland.
University of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput sequencing has greatly facilitated the discovery of long and short non-coding RNAs (ncRNAs), which frequently guide ribonucleoprotein complexes to RNA targets, to modulate their metabolism and expression. However, for many ncRNAs, the targets remain to be discovered. In this study, we developed computational methods to map C/D box snoRNA target sites using data from core small nucleolar ribonucleoprotein crosslinking and immunoprecipitation and from transcriptome-wide mapping of 2΄-O-ribose methylation sites. We thereby assigned the snoRNA guide to a known methylation site in the 18S rRNA, we uncovered a novel partially methylated site in the 28S ribosomal RNA, and we captured a site in the 28S rRNA in interaction with multiple snoRNAs. Although we also captured mRNAs in interaction with snoRNAs, we did not detect 2΄-O-methylation of these targets. Our study provides an integrated approach to the comprehensive characterization of 2΄-O-methylation targets of snoRNAs in species beyond those in which these interactions have been traditionally studied and contributes to the rapidly developing field of 'epitranscriptomics'.

Indexed as

AlgorithmsTranscriptomeBase SequenceCross-Linking ReagentsDatabases, GeneticHigh-Throughput Nucleotide SequencingImmunoprecipitationMethylationProtein BindingRibonucleoproteins, Small NucleolarRiboseRNA, Guide, CRISPR-Cas SystemsRNA, Ribosomal, 18SRNA, Ribosomal, 28SRNA, Small NucleolarSoftwareCross-Linking ReagentsRibonucleoproteins, Small NucleolarRiboseRNA, Guide, CRISPR-Cas SystemsRNA, Ribosomal, 18SRNA, Ribosomal, 28SRNA, Small Nucleolar

Identifiers

PMID28031372
PMCPMC5389715
OpenAlexW2952107584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.