Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 292

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Hidden codes in mRNA: Control of gene expression by m6A

Open access
Murakami, Shino, Jaffrey, Samie R.·2022·Molecular Cell

Abstract

SUMMARY Information in mRNA has largely been thought to be confined to its nucleotide sequence. However, the advent of mapping techniques to detect modified nucleotides has revealed that mRNA contains additional information in the form of chemical modifications. The most abundant modified nucleotide is N6-methyladenosine (m6A), a methyl modification of adenosine. Although early studies viewed m6A as a dynamic and tissue-specific modification, it is now clear that the mRNAs that contain m6A and the location of m6A in those transcripts are largely universal, and are influenced by gene architecture, i.e., the size and location of exons and introns. m6A can affect nuclear processes such as splicing and epigenetic regulation, but the major effect of m6A on mRNAs is to promote degradation in the cytoplasm. m6A marks a functionally related cohort of mRNAs linked to certain biological processes, including cell differentiation and cell fate determination. m6A is also enriched in other cohorts of mRNAs and can therefore affect their respective cellular processes and pathways. Future work will focus on understanding how the m6A pathway is regulated to achieve control of m6A-containing mRNAs.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.molcel.2022.05.029

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 17 references

Cited by

Metadata

Authors
Murakami, S., & Jaffrey, S. R.
Venue
Molecular Cell
Publisher
Elsevier BV
Published
2022-06
Volume
82
Issue
12
Pages
2236-2251
ISSN
1097-2765 (ISSN-L)
OpenAlex
W4283024773
Cited by
292
References
17
FWCI
17.40
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.