Clonal and Quantitative In Vivo Assessment of Hematopoietic Stem Cell Differentiation Reveals Strong Erythroid Potential of Multipotent Cells

Stem Cell Reports. 2019 Apr 9;12(4):801-815. doi: 10.1016/j.stemcr.2019.02.007. Epub 2019 Mar 21.

Abstract

Hematopoiesis is arguably one of the best understood stem cell systems; however, significant challenges remain to reach a consensus understanding of the lineage potential, heterogeneity, and relationships of hematopoietic stem and progenitor cell populations. To gain new insights, we performed quantitative analyses of mature cell production from hematopoietic stem cells (HSCs) and multiple hematopoietic progenitor populations. Assessment of the absolute numbers of mature cell types produced by each progenitor cell revealed a striking erythroid dominance of all myeloid-competent progenitors assessed, accompanied by strong platelet reconstitution. All populations with myeloid potential also produced robust numbers of red blood cells and platelets in vivo. Clonal analysis by single-cell transplantation and by spleen colony assays revealed that a significant fraction of HSCs and multipotent progenitors have multilineage potential at the single-cell level. These new insights prompt an erythroid-focused model of hematopoietic differentiation.

Keywords: clonal analysis; erythropoiesis; hematopoietic differentiation; hematopoietic stem cells; heterogeneity; lineage potential; multilineage differentiation; quantitative analyses; reconstitution; single-cell transplantation.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers
  • Cell Differentiation*
  • Cell Lineage
  • Colony-Forming Units Assay
  • Erythropoiesis*
  • Hematopoiesis
  • Hematopoietic Stem Cell Transplantation
  • Hematopoietic Stem Cells / cytology*
  • Hematopoietic Stem Cells / metabolism*
  • Immunophenotyping
  • Mice
  • Models, Biological
  • Multipotent Stem Cells / cytology*
  • Multipotent Stem Cells / metabolism*

Substances

  • Biomarkers