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Phosphorylation state of the histone variant H2A.X controls human stem and progenitor cell fate decisions.

Luca Orlando | Borko Tanasijevic | Mio Nakanishi | Jennifer C Reid | Juan L García-Rodríguez | Kapil Dev Chauhan | Deanna P Porras | Lili Aslostovar | Justin D Lu | Zoya Shapovalova | Ryan R Mitchell | Allison L Boyd | Mickie Bhatia
Cell reports | 2021

Histone variants (HVs) are a subfamily of epigenetic regulators implicated in embryonic development, but their role in human stem cell fate remains unclear. Here, we reveal that the phosphorylation state of the HV H2A.X (γH2A.X) regulates self-renewal and differentiation of human pluripotent stem cells (hPSCs) and leukemic progenitors. As demonstrated by CRISPR-Cas deletion, H2A.X is essential in maintaining normal hPSC behavior. However, reduced levels of γH2A.X enhances hPSC differentiation toward the hematopoietic lineage with concomitant inhibition of neural development. In contrast, activation and sustained levels of phosphorylated H2A.X enhance hPSC neural fate while suppressing hematopoiesis. This controlled lineage bias correlates to occupancy of γH2A.X at genomic loci associated with ectoderm versus mesoderm specification. Finally, drug modulation of H2A.X phosphorylation overcomes differentiation block of patient-derived leukemic progenitors. Our study demonstrates HVs may serve to regulate pluripotent cell fate and that this biology could be extended to somatic cancer stem cell control.

Pubmed ID: 33691101

Associated grants

None

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This is a list of tools and resources that we have found mentioned in this publication.


Gene Ontology (tool)

RRID:SCR_002811

Computable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.

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RRID:SCR_004869

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RRID:SCR_010881

Software tools for Motif Discovery and next-gen sequencing analysis. Used for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of functional genomics sequencing data sets. Collection of command line programs for unix style operating systems written in Perl and C++.

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RRID:SCR_013503

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RRID:SCR_013505

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RRID:SCR_016368

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RRID:AB_2107448

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RRID:AB_647418

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