Identification of Key Sequence Motifs Essential for the Recognition of m6A Modification in RNA

N6-methyladenosine (m<sup>6</sup>A) constitutes the most prevalent nucleotide modification within eukaryotic messenger RNA (mRNA). Variations in m<sup>6</sup>A levels are associated with numerous human diseases and health conditions, including various forms of cancer, diabetes, neurological disorders, male infertility, and obesity. Nevertheless, the molecular mechanisms underpinning the recognition of m<sup>6</sup>A by different 'reader' proteins remain incompletely elucidated. In this study, we used phage display to identify key sequence features that methyl readers recognize in m<sup>6</sup>A. This study shows that m<sup>6</sup>A modifications affect the mRNA interactome. A peptide motif recognizing m<sup>6</sup>A in DRACH sequences suggests a common recognition mechanism, though proteins may use different methods to detect m<sup>6</sup>A in less accessible areas. The sequence of the hnRNP A1 RRM domain that aligns with the newly discovered m<sup>6</sup>A-binding peptide, m1p1, is crucial for the binding of m<sup>6</sup>A-modified RNAs, indicating a strong link between the m1p1 sequence and m<sup>6</sup>A recognition, which is key for recognizing m<sup>6</sup>A-modified, unstructured RNAs. Gaining a comprehensive understanding of the evolutionary influence of m<sup>6</sup>A on its reader proteins may facilitate the identification of additional m<sup>6</sup>A readers. These signature peptides could enhance theranostic approaches across cancers, enabling more targeted therapies.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2026-01-07
DOI
https://doi.org/10.3390/biom16010097
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Key Sequence Motifs Essential for the Recognition of m6A Modification in RNA

Sanjaya Abeysirigunawardena, Sudeshi M. Abedeera, Rushdhi Rauff, Minhchau To et al.
Biomolecules
RNA modifications and cancer
article

Identification of Key Sequence Motifs Essential for the Recognition of m6A Modification in RNA

Sanjaya Abeysirigunawardena, Sudeshi M. Abedeera, Rushdhi Rauff, Minhchau To, Chathurani Ekanayake, Chamali Thalagaha Thalagaha Mudiyanselage, Aftab Mollah, Helen Piontkivska
article en

Abstract

N6-methyladenosine (m<sup>6</sup>A) constitutes the most prevalent nucleotide modification within eukaryotic messenger RNA (mRNA). Variations in m<sup>6</sup>A levels are associated with numerous human diseases and health conditions, including various forms of cancer, diabetes, neurological disorders, male infertility, and obesity. Nevertheless, the molecular mechanisms underpinning the recognition of m<sup>6</sup>A by different 'reader' proteins remain incompletely elucidated. In this study, we used phage display to identify key sequence features that methyl readers recognize in m<sup>6</sup>A. This study shows that m<sup>6</sup>A modifications affect the mRNA interactome. A peptide motif recognizing m<sup>6</sup>A in DRACH sequences suggests a common recognition mechanism, though proteins may use different methods to detect m<sup>6</sup>A in less accessible areas. The sequence of the hnRNP A1 RRM domain that aligns with the newly discovered m<sup>6</sup>A-binding peptide, m1p1, is crucial for the binding of m<sup>6</sup>A-modified RNAs, indicating a strong link between the m1p1 sequence and m<sup>6</sup>A recognition, which is key for recognizing m<sup>6</sup>A-modified, unstructured RNAs. Gaining a comprehensive understanding of the evolutionary influence of m<sup>6</sup>A on its reader proteins may facilitate the identification of additional m<sup>6</sup>A readers. These signature peptides could enhance theranostic approaches across cancers, enabling more targeted therapies.

BiomoleculesVol. 16(1)
Kent State University (US)
Openalex Percentile: Top 95%
RNA modifications and cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.