4.8 Article

Population dynamics of normal human blood inferred from somatic mutations

Journal

NATURE
Volume 561, Issue 7724, Pages 473-+

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41586-018-0497-0

Keywords

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Funding

  1. Leukemia Lymphoma Society
  2. WBH Foundation
  3. Wellcome Trust
  4. Wellcome Trust PhD studentship
  5. Danish Lundbeck Fellowship (2016-17)
  6. BBSRC CASE Industrial PhD Studentship
  7. Bloodwise Bennett Fellowship [15008]
  8. European Research Council [ERC-2016-STG-715371]
  9. European Hematology Association Non-Clinical Advanced Research Fellowship
  10. Bloodwise
  11. Cancer Research UK
  12. Kay Kendall Leukaemia Fund
  13. Leukemia and Lymphoma Society of America
  14. Wellcome Trust Sir Henry Dale Fellowship
  15. BBSRC
  16. European Haematology Association NonClinical Advanced Research Fellowship
  17. Medical Research Council
  18. BBSRC [1800757] Funding Source: UKRI
  19. MRC [MR/M010392/1, MR/M008975/1, MR/S036113/1, MR/R009708/1, MC_PC_16040] Funding Source: UKRI

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Haematopoietic stem cells drive blood production, but their population size and lifetime dynamics have not been quantified directly in humans. Here we identified 129,582 spontaneous, genome-wide somatic mutations in 140 single-cell-derived haematopoietic stem and progenitor colonies from a healthy 59-year-old man and applied population-genetics approaches to reconstruct clonal dynamics. Cell divisions from early embryogenesis were evident in the phylogenetic tree; all blood cells were derived from a common ancestor that preceded gastrulation. The size of the stem cell population grew steadily in early life, reaching a stable plateau by adolescence. We estimate the numbers of haematopoietic stem cells that are actively making white blood cells at any one time to be in the range of 50,000-200,000. We observed adult haematopoietic stem cell clones that generate multilineage outputs, including granulocytes and B lymphocytes. Harnessing naturally occurring mutations to report the clonal architecture of an organ enables the high-resolution reconstruction of somatic cell dynamics in humans.

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