Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 808-822 |
| Number of pages | 15 |
| Journal | Cell stem cell |
| Volume | 19 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1 Dec 2016 |
| Externally published | Yes |
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
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