Evidence map›Paper›PMID 28208788›Full record

ArticleBiomolecules2017

Next-Generation Sequencing-Based RiboMethSeq  Protocol for Analysis of tRNA 2'-O-Methylation.

Virginie Marchand, Florian Pichot, Kathrin Thüring, Lilia Ayadi, Isabel Freund, Alexander Dalpke, Mark Helm, Yuri Motorin

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 2'-RNA (New York, N.Y.) · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Mapping the tRNA modification landscape ofFrontiers in microbiology · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

8 authors at 3 institutions in 2 countries.

Virginie MarchandIMoPA UMR7365 CNRS-UL, Biopole Lorraine University, 54505 Vandoeuvre-les-Nancy, France. Florian.Pichot5@etu.univ.
Florian PichotIMoPA UMR7365 CNRS-UL, Biopole Lorraine University, 54505 Vandoeuvre-les-Nancy, France. Florian.Pichot5@etu.univ.
Kathrin ThüringInstitute of Pharmacy and Biochemistry, Johannes Gutenberg University Mainz, 55128 Mainz, Germany.
Lilia AyadiIMoPA UMR7365 CNRS-UL, Biopole Lorraine University, 54505 Vandoeuvre-les-Nancy, France. Florian.Pichot5@etu.univ.
Isabel FreundDepartment of Infectious Diseases, Medical Microbiology and Hygiene, Ruprecht-Karls University Heidelberg, 69120 Heidelberg, Germany.
Alexander DalpkeDepartment of Infectious Diseases, Medical Microbiology and Hygiene, Ruprecht-Karls University Heidelberg, 69120 Heidelberg, Germany.
Mark HelmInstitute of Pharmacy and Biochemistry, Johannes Gutenberg University Mainz, 55128 Mainz, Germany.
Yuri MotorinIMoPA UMR7365 CNRS-UL, Biopole Lorraine University, 54505 Vandoeuvre-les-Nancy, France. Florian.Pichot5@etu.univ.
Centre National de la Recherche Scientifique · FRHeidelberg University · DEJohannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of RNA modifications by traditional physico-chemical approaches is labor  intensive,  requires  substantial  amounts  of  input  material  and  only  allows  site-by-site  measurements.  The  recent  development  of  qualitative  and  quantitative  approaches  based  on   next-generation sequencing (NGS) opens new perspectives for the analysis of various cellular RNA  species.  The  Illumina  sequencing-based  RiboMethSeq  protocol  was  initially  developed  and  successfully applied for mapping of ribosomal RNA (rRNA) 2'-O-methylations. This method also  gives excellent results in the quantitative analysis of rRNA modifications in different species and  under varying growth conditions. However, until now, RiboMethSeq was only employed for rRNA,  and the whole sequencing and analysis pipeline was only adapted to this long and rather conserved  RNA species. A deep understanding of RNA modification functions requires large and global  analysis datasets for other important RNA species, namely for transfer RNAs (tRNAs), which are  well known to contain a great variety of functionally-important modified residues. Here, we  evaluated the application of the RiboMethSeq protocol for the analysis of tRNA 2'-O-methylation in  Escherichia coli and in Saccharomyces cerevisiae. After a careful optimization of the bioinformatic  pipeline, RiboMethSeq proved to be suitable for relative quantification of methylation rates for  known modified positions in different tRNA species.

Indexed as

Computational BiologyEscherichia coliHigh-Throughput Nucleotide SequencingMethylationRNA, BacterialRNA, FungalRNA, TransferSaccharomyces cerevisiaeSequence Analysis, RNARNA, BacterialRNA, FungalRNA, Transfer2′‐O‐methylationdeleted strainhigh‐throughput sequencingRiboMethSeqTRM3TrmHtRNA

Identifiers

PMID28208788
PMCPMC5372725
OpenAlexW2586073275

What OpenQuestion holds

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LicenceCC BY
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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.