Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Clonal dynamics of native haematopoiesis

Abstract

It is currently thought that life-long blood cell production is driven by the action of a small number of multipotent haematopoietic stem cells. Evidence supporting this view has been largely acquired through the use of functional assays involving transplantation. However, whether these mechanisms also govern native non-transplant haematopoiesis is entirely unclear. Here we have established a novel experimental model in mice where cells can be uniquely and genetically labelled in situ to address this question. Using this approach, we have performed longitudinal analyses of clonal dynamics in adult mice that reveal unprecedented features of native haematopoiesis. In contrast to what occurs following transplantation, steady-state blood production is maintained by the successive recruitment of thousands of clones, each with a minimal contribution to mature progeny. Our results demonstrate that a large number of long-lived progenitors, rather than classically defined haematopoietic stem cells, are the main drivers of steady-state haematopoiesis during most of adulthood. Our results also have implications for understanding the cellular origin of haematopoietic disease.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Establishment of inducible transposon tagging approach.
Figure 2: Clonal dynamics of native haematopoiesis.
Figure 3: Polyclonal and fluctuating nature of native granulopoiesis.
Figure 4: Non-engraftable progenitors drive native haematopoiesis.
Figure 5: LT-HSCs make a limited contribution to native haematopoiesis.

Similar content being viewed by others

References

  1. Weissman, I. L. Stem cells: units of development, units of regeneration, and units in evolution. Cell 100, 157–168 (2000)

    Article  CAS  PubMed  Google Scholar 

  2. Kondo, M. et al. Biology of hematopoietic stem cells and progenitors: implications for clinical application. Annu. Rev. Immunol. 21, 759–806 (2003)

    Article  CAS  PubMed  Google Scholar 

  3. Snippert, H. J. et al. Intestinal crypt homeostasis results from neutral competition between symmetrically dividing Lgr5 stem cells. Cell 143, 134–144 (2010)

    Article  CAS  PubMed  Google Scholar 

  4. Kretzschmar, K. & Watt, F. M. Lineage tracing. Cell 148, 33–45 (2012)

    Article  CAS  PubMed  Google Scholar 

  5. Bystrykh, L. V., Verovskaya, E., Zwart, E., Broekhuis, M. & de Haan, G. Counting stem cells: methodological constraints. Nature Methods 9, 567–574 (2012)

    Article  CAS  PubMed  Google Scholar 

  6. Kay, H. E. M. How many cell-generations? Lancet 286, 418–419 (1965)

    Article  Google Scholar 

  7. Müller-Sieburg, C. E., Cho, R. H., Thoman, M., Adkins, B. & Sieburg, H. B. Deterministic regulation of hematopoietic stem cell self-renewal and differentiation. Blood 100, 1302–1309 (2002)

    PubMed  Google Scholar 

  8. Dykstra, B. et al. Long-term propagation of distinct hematopoietic differentiation programs in vivo. Cell Stem Cell 1, 218–229 (2007)

    Article  CAS  PubMed  Google Scholar 

  9. Mátés, L. et al. Molecular evolution of a novel hyperactive Sleeping Beauty transposase enables robust stable gene transfer in vertebrates. Nature Genet. 41, 753–761 (2009)

    Article  PubMed  Google Scholar 

  10. Lamartina, S. et al. Stringent control of gene expression in vivo by using novel doxycycline-dependent trans-activators. Hum. Gene Ther. 13, 199–210 (2002)

    Article  CAS  PubMed  Google Scholar 

  11. Yant, S. R. et al. High-resolution genome-wide mapping of transposon integration in mammals. Mol. Cell. Biol. 25, 2085–2094 (2005)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Akashi, K., Traver, D., Miyamoto, T. & Weissman, I. L. A clonogenic common myeloid progenitor that gives rise to all myeloid lineages. Nature 404, 193–197 (2000)

    Article  ADS  CAS  PubMed  Google Scholar 

  13. Kiel, M. J. et al. SLAM family receptors distinguish hematopoietic stem and progenitor cells and reveal endothelial niches for stem cells. Cell 121, 1109–1121 (2005)

    Article  CAS  PubMed  Google Scholar 

  14. Foudi, A. et al. Analysis of histone 2B-GFP retention reveals slowly cycling hematopoietic stem cells. Nature Biotechnol. 27, 84–90 (2009)

    Article  CAS  Google Scholar 

  15. Dean, F. B. et al. Comprehensive human genome amplification using multiple displacement amplification. Proc. Natl Acad. Sci. USA 99, 5261–5266 (2002)

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  16. Harkey, M. A. et al. Multiarm high-throughput integration site detection: limitations of LAM-PCR technology and optimization for clonal analysis. Stem Cells Dev. 16, 381–392 (2007)

    Article  CAS  PubMed  Google Scholar 

  17. Osawa, M., Hanada, K., Hamada, H. & Nakauchi, H. Long-term lymphohematopoietic reconstitution by a single CD34-low/negative hematopoietic stem cell. Science 273, 242–245 (1996)

    Article  ADS  CAS  PubMed  Google Scholar 

  18. Basu, S., Hodgson, G., Katz, M. & Dunn, A. R. Evaluation of role of G-CSF in the production, survival, and release of neutrophils from bone marrow into circulation. Blood 100, 854–861 (2002)

    Article  CAS  PubMed  Google Scholar 

  19. Lemischka, I. R., Raulet, D. H. & Mulligan, R. C. Developmental potential and dynamic behavior of hematopoietic stem cells. Cell 45, 917–927 (1986)

    Article  CAS  PubMed  Google Scholar 

  20. Jordan, C. T. & Lemischka, I. R. Clonal and systemic analysis of long-term hematopoiesis in the mouse. Genes Dev. 4, 220–232 (1990)

    Article  CAS  PubMed  Google Scholar 

  21. Shaposhnikov, V. L. Distribution of the bone marrow cells in the skeleton of mice [in Russian]. Biull. Eksp. Biol. Med. 87, 510–512 (1979)

    Article  Google Scholar 

  22. Brugman, M. H. et al. Evaluating a ligation-mediated PCR and pyrosequencing method for the detection of clonal contribution in polyclonal retrovirally transduced samples. Hum. Gene Ther. Methods 24, 68–79 (2013)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Gerrits, A. et al. Cellular barcoding tool for clonal analysis in the hematopoietic system. Blood 115, 2610–2618 (2010)

    Article  CAS  PubMed  Google Scholar 

  24. Naik, S. H. et al. Diverse and heritable lineage imprinting of early haematopoietic progenitors. Nature 496, 229–232 (2013)

    Article  ADS  CAS  PubMed  Google Scholar 

  25. Cheshier, S. H., Morrison, S. J., Liao, X. & Weissman, I. L. In vivo proliferation and cell cycle kinetics of long-term self-renewing hematopoietic stem cells. Proc. Natl Acad. Sci. USA 96, 3120–3125 (1999)

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  26. Wilson, A. et al. Hematopoietic stem cells reversibly switch from dormancy to self-renewal during homeostasis and repair. Cell 135, 1118–1129 (2008)

    Article  CAS  PubMed  Google Scholar 

  27. Drize, N. J., Keller, J. R. & Chertkov, J. L. Local clonal analysis of the hematopoietic system shows that multiple small short-living clones maintain life-long hematopoiesis in reconstituted mice. Blood 88, 2927–2938 (1996)

    CAS  PubMed  Google Scholar 

  28. Drize, N. J. et al. Lifelong hematopoiesis in both reconstituted and sublethally irradiated mice is provided by multiple sequentially recruited stem cells. Exp. Hematol. 29, 786–794 (2001)

    Article  CAS  PubMed  Google Scholar 

  29. Zavidij, O. et al. Stable long-term blood formation by stem cells in murine steady-state hematopoiesis. Stem Cells 30, 1961–1970 (2012)

    Article  CAS  PubMed  Google Scholar 

  30. Buescher, E. S., Alling, D. W. & Gallin, J. I. Use of an X-linked human neutrophil marker to estimate timing of lyonization and size of the dividing stem cell pool. J. Clin. Invest. 76, 1581–1584 (1985)

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Harrison, D. E., Lerner, C., Hoppe, P. C., Carlson, G. A. & Alling, D. Large numbers of primitive stem cells are active simultaneously in aggregated embryo chimeric mice. Blood 69, 773–777 (1987)

    CAS  PubMed  Google Scholar 

  32. Visvader, J. E. Cells of origin in cancer. Nature 469, 314–322 (2011)

    Article  ADS  CAS  PubMed  Google Scholar 

  33. Beard, C., Hochedlinger, K., Plath, K., Wutz, A. & Jaenisch, R. Efficient method to generate single-copy transgenic mice by site-specific integration in embryonic stem cells. Genesis 44, 23–28 (2006)

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to members of the Camargo laboratory, L. Zon, S. Orkin, M. Goodell and F. Mercier for comments. We thank R. Mathew for cell sorting and Y. Fujiwara for transgenic injections (supported by NIH P30 DK049216). We thank Z. Izsvak (Max-Delbrück-Center) for HSB expression vector and M. Kay (Stanford University) for transposon plasmid. This work was supported by the NIH Director's New Innovator Award (DP2OD006472) to F.D.C. and funds from the Harvard Stem Cell Institute to B.C. and O.H.

Author information

Authors and Affiliations

Authors

Contributions

J.S. and F.D.C. designed the study, analysed the data, and wrote the manuscript. J.S. performed experiments with assistance of A.R. and L.L., A.R. and J.B.J. generated mouse models. B.C., Y.-J.H., O.H. developed computer scripts and A.K. performed statistical analyses on the single-cell data. F.D.C. supervised the study.

Corresponding author

Correspondence to Fernando D. Camargo.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Extended data figures and tables

Extended Data Figure 1 Characterization of M2/HSB/Tn mouse model.

a, Experimental flow chart showing transplantation of DsRed+LincKit+ BM cells from induced M2/HSB/Tn mice (CD45.2+) into lethally-irradiated recipient mouse (CD45.1+). b, Longitudinal follow-up of donor-derived PB cells in 5 recipient mice. c, Representative dot blots showing percentage of donor-derived (CD45.2+) granulocyte, B cells and T cells 42.5 weeks after transplantation. d, Longitudinal follow-ups of DsRed expression in donor-derived PB granulocytes, B cells, and T cells. e, Experimental flow chart showing transplantation of DsRed+LincKit+ or DsRedLincKit+ BM cells. f, Longitudinal follow-ups of DsRed expression in donor-derived PB cells. 3 and 4 mice received DsRed and DsRed+ donor cells, respectively. g, Fraction of DsRed+ cells in PB granulocytes, B cells and T cells from 6–8-month-old induced (n = 6) and uninduced (n = 4) M2/HSB/Tn mice. Mean ± s.d. is shown.

Extended Data Figure 2 Stable propagation of Tn tags during in vitro expansion of LT-HSC clones.

a, Experimental flow chart showing primary and secondary colony-formation assays and Tn tag analyses. b, Results of LM-PCR analysis on primary LT-HSC colonies. M, 100-bp DNA ladder. The two PCR products detected from colony no. 2 and 3 resulted from LM-PCR amplification of both ends of single Tn insertion sites. c, Results of LM-PCR analysis on secondary colonies from two of the primary colonies. Identities of the PCR products in b and c were determined by cloning and Sanger sequencing. Arrows indicate PCR products of Tn tags identified in parental colonies. Bands marked by white asterisks are PCR artefacts, which are defined by the absence of transposon element or uniquely aligned genomic DNA sequence. White arrowheads depict de novo Tn tags. d, Summary of Tn tags identified in primary colonies, secondary colonies, and single-cell analysis.

Extended Data Figure 3 Flow chart showing experimental procedures of Tn tag labelling and detection.

Extended Data Figure 4 Characterization of methodology for Tn tag detection.

a, A representative plot showing read frequencies of Tn tags detected in a test sample (shown on x axis), and their frequencies observed in control samples from an unrelated mouse (shown on y axis). Each circle represents a unique Tn tag. The dashed line depicts 50-read cutoff. Tags in the red box are high-confidence reads selected for further analysis. b, Detection sensitivity of linear amplification-mediated PCR (LAM-PCR) and ligation-mediated PCR (LM-PCR). Serial dilutions of genomic DNA from a transposon mouse are used as input. c, Sensitivity of Tn tag detection from polyclonal samples using LM-PCR. The polyclonal samples are assembled by mixing 10,000 DsRed+ PB cells and different numbers of each of ten HEK293 clones. The Tn tags in these HEK293 clones were pre-determined. Six cell dosages (1, 5, 25, 100, 500 and 2,500 cells) are tested in duplicates for each clone. A positive call for the detection of the known Tn tags is determined based on criteria defined in Supplementary Information. d, Read frequencies between the duplicate samples in c are positively correlated. Each circle depicts a Tn tag from one of the seven HEK293 clones at a particular cell dosage. e, Venn diagram showing additional technical LM-PCR repeats performed on PB Gr split samples of mouse AR1122 collected at 12, 18 and 23 weeks after Dox withdrawal. Shown in plots are the number of Tn tags that are either commonly or uniquely detected in each of the repeats. f, Plots showing read frequencies of Tn tags described in e. g, Broad distribution of read frequencies among different HEK293 clones with same input cell numbers. Averages of the duplicate samples are shown.

Extended Data Figure 5 Purification of PB granulocytes, B cells, and T cells by FACS.

a, Schematic for FACS purification and purity analysis of DsRed+ PB granulocytes, B cells, and T cells from induced M2/HSB/Tn mice. b, DsRed+ gates are established based on PB samples from uninduced M2/HSB/Tn mice.

Extended Data Figure 6 Clonal dynamics in PB samples of additional induced mice.

Data are presented in the same manner as Fig. 2. ac, Tn tags from mouse A384; df, Tn tags from mouse AR1123. Tags unique to B or T cells are not shown. gh, Tn tags from mouse AR1121. The terminal PB sample shown in panel g encompasses approximately 50% of the blood, and the BM sample are from forelimbs, hindlimbs, spine, sternum and ribs. k, The percentage of recurrent Tn tags in prior PB samples when compared with that in the BM granulocyte sample.

Extended Data Figure 7 Validation of results obtained in longitudinal analyses.

a, B cells and T cells Tn tags that are present in 4 or more PB samples from induced mouse LL106. b, Results of nested-PCR analysis of PB granulocytes collected from induced mouse AR446 at three time points. c, Longitudinal PB analyses of 1-day-induced mice (LL91 and LL145). d, Tn tag numbers in PB granulocytes collected from 10–16-month-old uninduced mice and from all time points shown for induced mice LL106, AR384 and AR1123.

Extended Data Figure 8 Lineage relationships among BM granulocytes, monocytes and pro/pre-B cells.

a, FACS plots showing purification scheme of BM granulocytes, monocytes and pro/pre-B cells. Monocytes and pro/pre-B cells are double-sorted to minimize granulocytes contamination. b, Comparison of clonal compositions of BM cell populations at different time points after Dox withdrawal. c, Percentage of granulocyte Tn tags that are shared with pro/pre-B cells. Each column represents data from an individual mouse or a single bone. d, Percentages of pro/pre B cell clones and monocyte clones that share Tn tags with BM granulocytes. Each column represents data from an individual mouse or a single bone. n/a, not available.

Extended Data Figure 9 Clonal analysis of haematopoiesis under transplantation conditions.

a, Experimental flow chart showing viral infection of donor cells and longitudinal analysis of clonal dynamics in the transplant mouse. 2,000 DsRed+ LSK cells were transduced with retrovirus in the presence of TPO, Flt3 and SCF for 2 days and transferred to lethally irradiated recipients in the presence of 1 × 105 wild-type bone marrow cells. b, Distribution of PB Gr tags and their presence in B cells and T cells from recipient mouse AR1001 at three time points following transplantation. Tn tags unique to B cells or T cells are not shown. c, Single-cell analysis of PB granulocyte Tn tags from mouse AR1001 at 35 and 60 weeks after transplantation. d, A subset of dominant clones revealed in single-cell analysis (c) are stable in PB. e, Experimental flow chart showing purification and transplantation of LT-HSCs or LincKit+ BM cells from induced M2/HSB/Tn mice. 4 × 104 DsRed+ LT-HSCs or 5 × 104 DsRed+LincKit+ cells per recipient mouse were used. fh and km, Distribution, recurrence, and lineage potential of PB Gr clones from recipient mouse AR856 receiving LT-HSC donor cells (fh) and mouse AR541 receiving LincKit+ donor cells (km). Data are presented in the same manner as Fig. 2b–d. i, Single-cell analysis of granulocyte Tn tags from mouse AR856 25 weeks after transplantation. j, The dominant clone identified in single-cell (SC) analysis (clone no. 1 in i) is persistently detected in PB and BM from a single femur at 33 weeks. This clone is also detected in the LT-HSC compartment.

Extended Data Figure 10 Analysis of lineage output by LT- HSCs in mouse AR1122.

a, Schematic for clonal analyses of BM LT-HSC, multipotent progenitor (MPP), myeloerythroid progenitor (MyP), granulocytes and pro/pre-B cells. b, Comparison of identified Tn tags among different BM populations. Gr/B restricted tags are now shown. MPP-derived clones are displayed in the enlarged panel on the right. c, Percentage of LT-HSC, MPP, MyP clones that are present in BM granulocytes and pro/pre-B cells or PB granulocytes (PB Gr data are shown in Extended Data Fig. 4e). d, Subtypes of MPP clones. The lineage potential of MPP-derived clones are determined by comparing Tn tags among MPP, MyPs, granulocytes and pro/pre-B cells. Bipotent clones are those found in MPP/MyP/Gr/B, myeloid clones are MPP/Myp/Gr, and lymphoid clones are MPP/B.

Supplementary information

Supplementary Information

This file contains Supplementary Methods, a Supplementary Discussion and Supplementary Tables 1-7. (PDF 790 kb)

Supplementary Data

This zipped file contains 3 scripts files: for Tn tag identification -‘Tn-Tag-identification.pl’ and ‘sub.pl’; for merging Tn tags from multiple samples - ‘Tn-Tag-merge.jar’. (ZIP 22619 kb)

PowerPoint slides

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, J., Ramos, A., Chapman, B. et al. Clonal dynamics of native haematopoiesis. Nature 514, 322–327 (2014). https://doi.org/10.1038/nature13824

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/nature13824

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing