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Mutational synergy during leukemia induction remodels chromatin accessibility, modification and 3-Dimensional DNA topology to alter gene expression

Altered transcription is a cardinal feature of acute myeloid leukemia (AML), however, exactly how mutations synergize to remodel the epigenetic landscape and rewire 3-Dimensional (3D) DNA topology is unknown. Here we apply an integrated genomic approach to a murine allelic series that models the two...

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Detalles Bibliográficos
Autores principales: Yun, Haiyang, Narayan, Nisha, Vohra, Shabana, Giotopoulos, George, Mupo, Annalisa, Madrigal, Pedro, Sasca, Daniel, Lara-Astiaso, David, Horton, Sarah J., Agrawal-Singh, Shuchi, Meduri, Eshwar, Basheer, Faisal, Marando, Ludovica, Gozdecka, Malgorzata, Dovey, Oliver M., Castillo-Venzor, Aracely, Wang, Xiaonan, Gallipoli, Paolo, Müller-Tidow, Carsten, Osborne, Cameron S., Vassiliou, George S., Huntly, Brian J. P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7611829/
https://www.ncbi.nlm.nih.gov/pubmed/34556857
http://dx.doi.org/10.1038/s41588-021-00925-9
Descripción
Sumario:Altered transcription is a cardinal feature of acute myeloid leukemia (AML), however, exactly how mutations synergize to remodel the epigenetic landscape and rewire 3-Dimensional (3D) DNA topology is unknown. Here we apply an integrated genomic approach to a murine allelic series that models the two most common mutations in AML, Flt3-ITD and Npm1c. We then deconvolute the contribution of each mutation to alterations of the epigenetic landscape and genome organization, and infer how mutations synergize in the induction of AML. Our studies demonstrate that Flt3-ITD signals to chromatin to alter the epigenetic environment and synergizes with Npm1c mutation to alter gene expression and drive leukemia induction. These analyses also allow the identification of long-range cis-regulatory circuits, including a novel super-enhancer of Hoxa locus, as well as larger and more detailed gene-regulatory networks, driven by transcription factors including PU.1 and IRF8, whose importance we demonstrate through perturbation of network members.