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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

N 6‐methyladenosine modification in mRNA: machinery, function and implications for health and diseases

Maity, Arpita, Das, Biswadip·2016·The FEBS Journal

Abstract

N 6‐methyladenosine (m 6 A) modification in mRNA is extremely widespread, and functionally modulates the eukaryotic transcriptome to influence mRNA splicing, export, localization, translation, and stability. Methylated adenines are present in a large subset of mRNA s and long noncoding RNA s (lnc RNA s). Methylation is reversible, and this is accomplished by the orchestrated action of highly conserved methyltransferase (m 6 A writer) and demethylase (m 6 A eraser) enzymes to shape the cellular ‘epitranscriptome’. The engraved ‘methyl code’ is subsequently decoded and executed by a group of m 6 A reader/effector components, which, in turn, govern the fate of the modified transcripts, thereby dictating their potential for translation. Reversible mRNA methylation thus adds another layer of regulation at the post‐transcriptional level in the gene expression programme of eukaryotes that finely sculpts a highly dynamic proteome in order to respond to diverse cues during cellular differentiation, immune tolerance, and neuronal signalling.

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Metadata

Authors
Maity, A., & Das, B.
Venue
The FEBS Journal
Publisher
Wiley
Published
2015-12-31
Volume
283
Issue
9
Pages
1607-1630
ISSN
  • 1742-464X (ISSN-L)
  • 1742-4658
OpenAlex
W2191528442
Cited by
250
References
19
FWCI
3.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: N 6‐methyladenosine modification in mRNA: machinery, function and implications for health and diseases. https://app.cochat.ai/papers/10.1111/febs.13614
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Maity, A., & Das, B. (2016). N 6‐methyladenosine modification in mRNA: machinery, function and implications for health and diseases. The FEBS Journal. https://doi.org/10.1111/febs.13614

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.