Evidence map›Paper›PMID 30185910›Full record

ArticleNature2018

Population dynamics of normal human blood inferred from somatic mutations.

Henry Lee-Six, Nina Friesgaard Øbro, Mairi S Shepherd, Sebastian Grossmann, Kevin Dawson, Miriam Belmonte, Robert J Osborne, Brian J P Huntly, Inigo Martincorena, Elizabeth Anderson and 6 more

Abstract read
In one paragraph

Article in Nature, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 352 papers.

0numbers the graph read from it
0cells of the map it votes in
352citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

352 citing papers in PubMed.

  1. Review
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  8. Mathematical modeling ofProceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Review
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292 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Henry Lee-SixCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Nina Friesgaard ØbroWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK.
Mairi S ShepherdWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK.
Sebastian GrossmannCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Kevin DawsonCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Miriam BelmonteWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK.
Robert J OsborneCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Brian J P HuntlyWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK.
Inigo MartincorenaCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Elizabeth AndersonCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Laura O'NeillCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Michael R StrattonCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK.
Elisa LaurentiWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK.
Anthony R GreenWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK. arg1000@cam.ac.uk.
David G KentWellcome-MRC Cambridge Stem Cell Institute and Department of Haematology, University of Cambridge, Cambridge, UK. dgk23@cam.ac.uk.
Peter J CampbellCancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK. pc8@sanger.ac.uk.

Funding

Cancer Research UK 21762Cancer Research UK 21777Cancer Research UK 25508Medical Research Council MC_PC_12009Medical Research Council MC_PC_16040Medical Research Council MR/M008975/1Medical Research Council MR/M010392/1Medical Research Council MR/R009708/1Medical Research Council MR/S036113/1Wellcome Trust
6 · The paper itself

Abstract

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.

Indexed as

DNA Mutational AnalysisMutationAdult Stem CellsBayes TheoremBlood CellsCell CountCell DivisionCell LineageClone CellsEmbryonic DevelopmentGenome, HumanGranulocytesHematopoiesisHematopoietic Stem CellsHumansLymphocytes

Identifiers

PMID30185910
PMCPMC6163040

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.