Hematopoietic stem cells give rise to all blood cells in a differentiation process that involves widespread epigenome remodeling. Here we present genome-wide reference maps of the associated DNA methylation dynamics. We used a meta-epigenomic approach that combines DNA methylation profiles across many small pools of cells and performed single-cell methylome sequencing to assess cell-to-cell heterogeneity. The resulting dataset identified characteristic differences between HSCs derived from fetal liver, cord blood, bone marrow, and peripheral blood. We also observed lineage-specific DNA methylation between myeloid and lymphoid progenitors, characterized immature multi-lymphoid progenitors, and detected progressive DNA methylation differences in maturing megakaryocytes. We linked these patterns to gene expression, histone modifications, and chromatin accessibility, and we used machine learning to derive a model of human hematopoietic differentiation directly from DNA methylation data. Our results contribute to a better understanding of human hematopoietic stem cell differentiation and provide a framework for studying blood-linked diseases.
Keywords: DNA methylation profiling; bioinformatic lineage reconstruction; cell type prediction; hematopoietic stem cell differentiation; immature lymphoid progenitors; lymphoid-myeloid lineage commitment; megakaryocyte maturation; reference epigenome mapping; single-cell sequencing; whole genome bisulfite sequencing.
Copyright © 2016 The Author(s). Published by Elsevier Inc. All rights reserved.