Evidence map›Paper›PMID 31069058›Full record

ReviewF1000Research2019

Detection and analysis of RNA methylation.

Nigel P Mongan, Richard D Emes, Nathan Archer

Open access · goldAbstract readReview
In one paragraph

Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. An Overview of Current Detection Methods for RNA Methylation.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Article
  15. Ghost authors revealed: The structure and function of human NWiley interdisciplinary reviews. RNA · 2023
    Review
  16. RNA methylation in plants: An overview.Frontiers in plant science · 2023
    Review
  17. Review
  18. Article
  19. Celiac disease: From genetics to epigenetics.World journal of gastroenterology · 2022
    Review
  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

3 authors at 1 institution in 2 countries.

Nigel P MonganSchool of Veterinary Medicine and Sciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK.
Richard D EmesSchool of Veterinary Medicine and Sciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK.ORCID 0000-0001-6855-5481
Nathan ArcherSchool of Veterinary Medicine and Sciences, University of Nottingham, Sutton Bonington Campus, Loughborough, UK.ORCID 0000-0002-3356-6161
University of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our understanding of the expanded genetic alphabet has been growing rapidly over the last two decades, and many of these developments came more than 80 years after the original discovery of a modified guanine in tuberculosis DNA. These new understandings, leading to the field of epigenetics, have led to exciting new fundamental and applied knowledge and to the development of novel classes of drugs exploiting this new biology. The number of methyl modifications to RNA is about seven times greater than those found on DNA, and our ability to interrogate these enigmatic nucleobases has lagged significantly until recent years as an explosion in technologies and understanding has revealed the roles and regulation of RNA methylation in several fundamental and disease-associated biological processes. Here, we outline how the technology has evolved and which strategies are commonly used in the modern epitranscriptomics revolution and give a foundation in the understanding and application of the rich variety of these methods to novel biological questions.

Indexed as

Epigenesis, GeneticMethylationRNARNA5 prime capepitranscriptomeepitranscriptomicsm6AmRNANucleic AcidsRNARNA methylationsequencingtranscriptome

Identifiers

PMID31069058
PMCPMC6489984
OpenAlexW2941884138

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.