Evidence map›Paper›PMID 32840728›Full record

ReviewMolecular biotechnology2020

m6A RNA Methylation: Ramifications for Gene Expression and Human Health.

R Karthiya, Piyush Khandelia

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 79 citations in OpenAlex.

  1. METTL14-Mediated lncRNA MSTRG.292666.16 mInternational journal of molecular sciences · 2026
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  16. The roles of lactate and the interplay with mCell biology and toxicology · 2024
    Review
  17. Article
  18. Review
  19. The mRNA NAnimals : an open access journal from MDPI · 2024
    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

2 authors at 1 institution in 1 country.

R KarthiyaDepartment of Biological Sciences, Birla Institute of Technology and Science, Pilani - Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Hyderabad, Telangana, 500078, India.
Piyush KhandeliaDepartment of Biological Sciences, Birla Institute of Technology and Science, Pilani - Hyderabad Campus, Jawahar Nagar, Kapra Mandal, Medchal District, Hyderabad, Telangana, 500078, India. piyush.khandelia@hyderabad.bits-pilani.ac.in.ORCID http://orcid.org/0000-0003-0641-0257
Birla Institute of Technology and Science - Hyderabad Campus · IN

Funding

Science and Engineering Research Board CRG/2018/000492
6 · The paper itself

Abstract

Cellular transcriptomes are frequently adorned by a variety of chemical modification marks, which in turn have a profound influence on its functioning. Of these modifications, the one which has invited a lot of attention in the recent years is m6A RNA methylation, leading to the development of RNA epigenetics or epitranscriptomics as a frontier research area. m6A RNA methylation is one of the most abundant reversible internal modification seen in cellular RNAs. Studies in the last few years have not only shed light on the molecular machinery involved in m6A RNA methylation but also on the impact of this modification in regulating gene expression and hence biological processes. In this review, we will emphasize the biological impact of this modification in normal organismal development and diseases.

Indexed as

Gene Expression RegulationHealthAdenosineAnimalsHumansMethylationNuclear ProteinsRNARNA, MessengerAdenosineN-methyladenosineNuclear ProteinsRNARNA, MessengerGene regulationm6A RNA methylationReversible RNA modificationsTranscriptome

Identifiers

PMID32840728
OpenAlexW3080227053

What OpenQuestion holds

Textmetadata
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.