Dynamics and Regulatory Roles of RNA MA Methylation in Unbalanced Genomes
Overview
Affiliations
-methyladenosine (mA) in eukaryotic RNA is an epigenetic modification that is critical for RNA metabolism, gene expression regulation, and the development of organisms. Aberrant expression of mA components appears in a variety of human diseases. RNA mA modification in has proven to be involved in sex determination regulated by and may affect X chromosome expression through the MSL complex. The dosage-related effects under the condition of genomic imbalance (i.e. aneuploidy) are related to various epigenetic regulatory mechanisms. Here, we investigated the roles of RNA mA modification in unbalanced genomes using aneuploid . The results showed that the expression of mA components changed significantly under genomic imbalance, and affected the abundance and genome-wide distribution of mA, which may be related to the developmental abnormalities of aneuploids. The relationships between methylation status and classical dosage effect, dosage compensation, and inverse dosage effect were also studied. In addition, we demonstrated that RNA mA methylation may affect dosage-dependent gene regulation through dosage-sensitive modifiers, alternative splicing, the MSL complex, and other processes. More interestingly, there seems to be a close relationship between MSL complex and RNA mA modification. It is found that ectopically overexpressed MSL complex, especially the levels of H4K16Ac through MOF, could influence the expression levels of mA modification and genomic imbalance may be involved in this interaction. We found that mA could affect the levels of H4K16Ac through MOF, a component of the MSL complex, and that genomic imbalance may be involved in this interaction. Altogether, our work reveals the dynamic and regulatory role of RNA mA modification in unbalanced genomes, and may shed new light on the mechanisms of aneuploidy-related developmental abnormalities and diseases.
Dynamics and regulatory roles of RNA mA methylation in unbalanced genomes.
Zhang S, Wang R, Luo K, Gu S, Liu X, Wang J Elife. 2025; 13.
PMID: 39853090 PMC: 11759410. DOI: 10.7554/eLife.100144.