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A Dysregulated DNA Methylation Landscape Linked to Gene Expression in MLL-Rearranged AML

Authors :
Feifei Zhao
Rakel Tryggvadottir
John Goutsias
Andrew P. Feinberg
Garrett Jenkinson
Ravindra Majeti
Ashley Tetens
Andreas Reinisch
Jordi Abante
Adrian Idrizi
Elisabet Pujadas
Michael A. Koldobskiy
Source :
Epigenetics
Publication Year :
2020
Publisher :
Informa UK Limited, 2020.

Abstract

Translocations of the KMT2A (MLL) gene define a biologically distinct and clinically aggressive subtype of acute myeloid leukaemia (AML), marked by a characteristic gene expression profile and few cooperating mutations. Although dysregulation of the epigenetic landscape in this leukaemia is particularly interesting given the low mutation frequency, its comprehensive analysis using whole genome bisulphite sequencing (WGBS) has not been previously performed. Here we investigated epigenetic dysregulation in nine MLL-rearranged (MLL-r) AML samples by comparing them to six normal myeloid controls, using a computational method that encapsulates mean DNA methylation measurements along with analyses of methylation stochasticity. We discovered a dramatically altered epigenetic profile in MLL-r AML, associated with genome-wide hypomethylation and a markedly increased DNA methylation entropy reflecting an increasingly disordered epigenome. Methylation discordance mapped to key genes and regulatory elements that included bivalent promoters and active enhancers. Genes associated with significant changes in methylation stochasticity recapitulated known MLL-r AML expression signatures, suggesting a role for the altered epigenetic landscape in the transcriptional programme initiated by MLL translocations. Accordingly, we established statistically significant associations between discordances in methylation stochasticity and gene expression in MLL-r AML, thus providing a link between the altered epigenetic landscape and the phenotype.

Details

ISSN :
15592308 and 15592294
Volume :
15
Database :
OpenAIRE
Journal :
Epigenetics
Accession number :
edsair.doi.dedup.....6680dc7ca2f29549e4bbf2152c432955