Abstract
Hematopoiesis is maintained by hematopoietic stem cells (HSCs) that replenish all blood lineages throughout life. It is well-established that the HSC pool is functionally heterogeneous consisting of cells differing in longevity, self-renewal ability, cell proliferation, and lineage differentiation. Although HSCs can be identified through the Lineage–Sca-1+c-Kit+CD48–CD34–CD150+ immunophenotype, the cell surface marker combination does not permit absolute purification of functional HSCs with long-term reconstituting ability. Therefore, prospective isolation of long-term HSCs is crucial for mechanistic understanding of the biological functions of HSCs and for resolving functional heterogeneity within the HSC population. Here, we show that the combination of CD229 and CD49b cell surface markers within the phenotypic HSC compartment identifies a subset of multipotent progenitor (MPP) cells with high proliferative activity and short-term reconstituting ability. Thus, the addition of CD229 and CD49b to conventional HSC markers permits prospective isolation of functional HSCs by distinguishing MPPs in the HSC compartment.
Keywords: hematopoiesis, hematopoietic stem cells, multipotent progenitors, blood cells, CD49b
Graphical Abstract
Significance Statement.
Blood cells are generated by rare stem cells, which based on their defining features of self-renewal and multipotent abilities, are used in transplantation as curative treatment for blood diseases. Despite their clinical importance, mechanisms of stem cell properties are elusive given the inability to isolate pure blood stem cells for prospective analyses. In this study, we demonstrate that stem cells can be isolated by excluding multipotent progenitors, marked by CD229 and CD49b, from the stem cell compartment. Our study has important implications for the analysis of mechanisms regulating stem cell function and is relevant for clinical applications of stem cells.
Introduction
Blood cells in the hematopoietic system are replenished by infrequent hematopoietic stem cells (HSCs). The hallmarks of HSCs are multipotency and self-renewal ability.1,2 Although HSCs can be identified by immunophenotype, they are only distinguishable from multipotent progenitors (MPPs) with short-term (ST) self-renewal potential through functional studies. HSCs are defined by their ability to continuously repopulate short-lived mature blood cells in myeloablated mice for at least 4-6 months, with the capacity to reconstitute secondary transplanted animals.2
The HSC population is functionally heterogeneous; however, the mechanism for distinct HSC behaviors remains obscure.3-11 HSCs reside within the phenotypically defined lineage–Sca-1+c-Kit+ (LSK) compartment and can be enriched through CD34–,12 Flt-3–,13 CD48–,14 and CD150+,14 cell surface marker selections. Inclusion of CD49b15 or CD22916 has been suggested to resolve functionally distinct HSC subsets. However, a significant proportion of the cells still lack long-term (LT) reconstituting ability. Therefore, prospective identification of functional HSCs remains crucial to resolve HSC heterogeneity and permit mechanistic analysis of distinct HSC behavior. Here, we used a combination of CD49b and CD229 to subfractionate the phenotypic HSC compartment and identified a CD49b+CD229+ subset enriched for MPPs with high proliferative activity and short-term reconstituting ability. Our study demonstrates that including additional cell surface markers to the conventional HSC immunophenotype can improve the identification of functional HSCs.
Materials and Methods
Animal Experiments
All animal experiments were approved by the Swedish regional ethical committee, Linköping ethical committee (#882 and #02250-2022). Animals were bred at the Preclinical Laboratory at Karolinska University Hospital, Sweden. Young adult (2-5 months) and old (1.5-2 years) females and males on C57BL/6J background were used. In transplantations, Gata-1 eGFP mice (CD45.2),17 backcrossed to C57BL/6J (>8 generations), were used as donors. B6.SJL-PtprcaPepcb/BoyCrl and B6.SJL-PtprcaPepcb/BoyJ mice (CD45.1), myeloablated with 10 Gy split over 2 days, were used as recipients. In primary transplantation, 5 donor (CD45.2) and 200 000 bone marrow (BM) support (CD45.1) cells were transplanted intravenously. In secondary transplantation, 10 million unfractionated BM cells from primary recipients were each transplanted into 1-2 myeloablated mice. Peripheral blood (PB) was collected periodically from transplanted mice by tail vein bleeding.
The threshold for successful repopulation was based on ≥0.1% CD45.2 and/or eGFP+ platelet reconstitution in PB 2 months post-transplantation. Repopulation of mature blood cells in PB (platelets, erythrocytes, myeloid, B, T, and NK cells) was considered if reconstitution was ≥0.01% and had ≥10 events in the CD45.2 donor gate for any given lineage.3,15 These criteria were used to avoid excluding lineage-restricted HSC clones and low-output HSCs, including latent HSCs.3,6,8,10,15 Flow cytometric detection limit was determined by assessing false-positive events in the CD45.2 donor gates of CD45.1 control mice (n = 12), which was 0.0003%. To determine the number of LT myeloid reconstituted mice, the threshold was set to ≥0.1% myeloid repopulation in PB, 6 months post-transplantation. Using the number of LT myeloid reconstituted mice, HSC frequencies was estimated by limiting dilution analysis through the online tool https://bioinf.wehi.edu.au/software/elda/, calculated with a 95% confidence interval.18 These frequencies were used to calculate the HSC frequencies in secondary transplantation by also considering the number of LT myeloid reconstituted mice in secondary transplantation.
Flow Cytometry Experiments
Bone marrow and PB cells were prepared and stained with antibodies (Supplementary Table S1), as previously described.15 Cell cycle and cell proliferation analyses were performed according to manufacturer’s protocols (BD Biosciences) and previous studies.15 Flow cytometry experiments were performed on FACSAria Fusion, LSR Fortessa, and FACSymphony A5 (BD Biosciences). Gates were set based on fluorescent minus one controls, backgating, or negative cell populations. Purity analysis was performed in all cell sorting experiments with a mean purity of 88% (±9%). Postacquisition analyses were performed on FlowJo software v10 (BD Biosciences).
In Vitro Assays
Combined myeloid and B-cell lineage differentiation potential of single-sorted cells was assessed in vitro using the OP9 coculture assay.15 Cultures were analyzed by flow cytometry 3 weeks postsort.
Statistical Analysis
Statistical analyses were performed using GraphPad v9.4.1 for Mac OS. Non-parametric analysis was performed using Kruskal Wallis with Dunn’s multiple comparison test or Mann-Whitney test. Data are represented as mean ± SD, and exact P-values are shown.
Results and Discussion
The most primitive HSCs reside within the phenotypic LSKCD48–CD34–CD150hi (CD150hi) compartment in the BM.2,8,19,20 CD49b and CD229 have been suggested to subfractionate the functionally heterogeneous HSC population into LT reconstituting HSCs with myeloid- or lymphoid-bias, and MPPs with limited self-renewal ability.15,16 Here, we explored whether the combination of CD49b and CD229 can purify functional HSCs, and HSCs with distinct behaviors. CD49b and CD229 subfractionation revealed 4 immunophenotypic subtypes: CD49b–CD229–, CD49b–CD229+, CD49b+CD229–, and CD49b+CD229+, which exhibited small but significant differences between females and males (Fig. 1A, 1B; Supplementary Fig. S1A, S1B). We first analyzed whether cycling differences could functionally distinguish the subtypes. All fractions were predominantly found in G0 phase. However, CD49b–CD229– and CD49b–CD229+ were most quiescent, with the lowest frequency of cells in G1 (Fig. 1C, 1D). Furthermore, BrdU analysis showed that CD49b–CD229– and CD49b–CD229+ were the least proliferative subsets (Fig. 1E, 1F), suggesting that CD49b– subsets represent the most dormant cells regardless of CD229 expression. Females and males exhibited similar cell cycle and proliferation properties across all subtypes (Supplementary Fig. S1C, S1D). Therefore, despite differences in population frequencies, functional characteristics do not differ between sexes.
Given that both CD49b and CD229 were described to enrich for lymphoid-biased cells,15,16 we first investigated the multilineage differentiation ability of CD49b and CD229 fractionated subsets. All 4 populations could generate B lymphocytes and myeloid cells in vitro (Fig. 1G, 1H). We subsequently assessed the multilineage ability in vivo by competitive transplantation using limiting numbers from each subtype, with success rates between 73% and 86% (Supplementary Fig. S1E). The comparable transplantation efficiencies show that the subtypes have similar homing ability. All populations also exhibited similar total blood leukocyte repopulation efficiency and were capable of multilineage differentiation (Fig. 2A, 2B). Notably, only the CD49b+CD229+ subtype displayed declining myeloid, platelet, and erythrocyte reconstitution over time, while other subsets had either increasing or stable LT repopulation of all blood lineages (Fig. 2B; Supplementary Fig. S2), suggesting reduced reconstituting ability and limited self-renewal potential. Indeed, only 46% of CD49b+CD229+ transplanted mice could actively produce short-lived myeloid cells 6 months after transplantation (Fig. 2C). In addition, CD49b+CD229+ transplanted mice showed a strong preference for lymphoid cells in the PB, consistent with reduced myeloid output (Fig. 2D). Moreover, the CD49b+CD229+ subtype generated myeloid cells with the lowest efficiency but potently gave rise to lymphoid cells in the BM (Fig. 2E). These findings imply that CD49b+CD229+ cells have less HSC activity. In contrast, CD49b–CD229–, CD49b–CD229+, and CD49b+CD229– subtypes demonstrated robust myeloid reconstitution in the PB and BM, suggesting high self-renewal potential (Fig. 2B-2E). Remarkably, CD49b–CD229+ cells also showed a strong lymphoid differentiation profile in the PB, indicating that CD49b and CD229 subfractionation can distinguish between HSCs with distinct repopulation characteristics, in addition to differences in self-renewal potential (Fig. 2D; Supplementary Fig. S3).
To further address differences in reconstitution and self-renewal potential, we assessed the ability of CD49b and CD229 fractionated subsets to regenerate stem- and progenitor cells. Only 54% of CD49b+CD229+ transplanted mice reconstituted phenotypic HSCs, and the repopulation efficiency was significantly lower (Fig. 2F, 2G). These results agreed with a reduced regenerative capacity in CD49b+CD229+ cells. Furthermore, the number of CD49b+CD229+ transplanted mice which repopulated lymphoid-primed multipotent progenitors (LMPPs), common lymphoid progenitors (CLPs), granulocyte-monocyte progenitors (GMPs), and megakaryocyte progenitors (MkPs) was markedly reduced compared to other subtypes (Supplementary Fig. S4A). Collectively, these results suggest that the CD49b+CD229+ subset has reduced HSC activity and enriches for MPPs with short-term repopulating capacity. Therefore, to estimate the frequency of functional HSCs in the CD49b and CD229 fractionated subsets, we used limiting dilution calculation,18,21 which predicted the lowest frequency in CD49b+CD229+ cells, consistent with lower reconstituting ability and reduced HSC activity (Fig. 2H).
To further investigate the self-renewal potential in the CD49b+CD229+ subset, we selected transplanted mice with phenotypic HSC reconstitution (Fig. 2F, 2G), for secondary transplantation to assess their LT reconstituting ability. All populations could repopulate secondary recipients; however, the CD49b+CD229+ cells were the least efficient in repopulating both myeloid and lymphoid lineages (Fig. 3A, 3B). Furthermore, the CD49b+CD229+ group had the fewest animals exhibiting active LT myeloid reconstitution (Fig. 3C). In addition, the HSC frequency was further reduced in the CD49b+CD229+ population in secondary transplantation, compared to primary transplantation (Fig. 3D). These findings demonstrate that most CD49b+CD229+ cells lack extensive self-renewal potential. Conversely, CD49b–CD229– and CD49b–CD229+ subsets maintained a high HSC frequency, consistent with their potent reconstituting ability (Fig. 3B, 3D). The CD49b+CD229– subset showed the highest HSC frequency while preferentially repopulating mature lymphoid cells and lymphoid progenitors (LMPP and CLP, Fig. 3B; Supplementary Fig. S4A). We have previously shown that CD49b+ HSCs, without CD229 subfractionation, contain LT lymphoid-biased HSCs with an HSC frequency of 11%.15 The higher HSC frequency (38%) and preferential lymphoid repopulation in CD49b+CD229– cells suggest that lymphoid-biased HSCs within CD49b+ cells can be enriched using CD229 (Fig. 2H, 3B, 3D).
Lymphoid-biased HSCs are suggested to decrease with age.22 We, therefore, assessed the frequency of CD49b and CD229 subfractionated subsets in old mice (Supplementary Fig. S4B). The frequency of CD49b+CD229– and CD49b+CD229+ subsets reduced with age, consistent with an age-related decline, while CD49b–CD229+ frequency increased and CD49b–CD229– remained unchanged (Supplementary Fig. S4C).
Altogether, our findings demonstrate that LT HSCs are confined to the CD49b–CD229–, CD49b–CD229+, and CD49b+CD229– subsets. In contrast, the CD49b+CD229+ subset within the phenotypic HSC compartment predominantly comprise MPPs with high proliferative activity and ST reconstituting ability and, therefore, do not represent functional HSCs.
Conclusion
It is recognized that HSCs isolated by immunophenotype contain cells lacking in vivo LT reconstituting ability. Therefore, assessment of HSC function is constricted to retrospective analysis through transplantation assays, where HSCs are defined based on functional readouts.2 The inability to prospectively identify functional HSCs has limited mechanistic insights into HSC regulation, as molecular analysis of immunophenotypic HSCs reflects a composite of HSCs and MPPs with ST reconstituting potential. Therefore, identifying strategies to isolate functional HSCs remains necessary to enable mechanistic studies, and is of relevance for clinical applications.23 In this study, we used the combination of CD49b and CD229 cell surface marker expression within the conventional phenotypic HSC compartment to resolve HSC functional heterogeneity. We demonstrated that the ST reconstituting activity of phenotypic HSCs is predominantly confined to the CD49b+CD229+ fraction, which contained the lowest HSC frequency and failed to maintain LT hematopoiesis. Furthermore, through segregating CD49b+CD229+ cells, lymphoid-biased LT HSCs can be enriched in the CD49b+CD229– subset. In addition, our results implicate that the combination of CD49b and CD229 differentiates HSCs with distinct behaviors, which likely can be refined using additional markers. Defining the immunophenotype for diverse HSCs to reveal the full spectrum of HSC behaviors remains important, especially for gene therapies where isolation of distinct HSC subsets may be preferred depending on disease setting.23 In conclusion, we demonstrate that functional HSCs with extensive self-renewal ability can be prospectively enriched by discriminating and excluding CD49b+CD229+ cells containing MPPs with ST reconstituting activity. Our study provides the basis for prospective isolation of HSCs with improved purity and permits more accurate analyses of the molecular mechanisms underlying specific HSC function and behavior.
Supplementary Material
Acknowledgement
The authors thank Prof. C. Nerlov (University of Oxford) for providing the Gata-1 eGFP mouse strain and Prof. SE. Jacobsen (Karolinska Institutet) for helpful discussions. The authors thank the Preclinical Laboratory, Karolinska University Hospital, and KI MedH Flow Cytometry Core Facility for their services.
Contributor Information
Ece Somuncular, Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Tsu-Yi Su, Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Özge Dumral, Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Anne-Sofie Johansson, Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Sidinh Luc, Center for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
Funding
S.L. was supported by the Wallenberg Academy Fellow award from Knut and Alice Wallenberg Foundation (2016.0131) and the Swedish Childhood Cancer Fund (TJ2017-0074, PR2017-0047). T.-Y.S was supported by the Karolinska Institutet Doctoral Education grant. This work was funded by the European Hematology Association, the Swedish Cancer Society (CAN2017/583, 20 1062 PjF), the Swedish Research Council (2016-02331), the Strategic research area (SFO) in Stem cell and Regenerative Medicine, Dr Åke Olsson Foundation for Hematological Research, and Åke Wiberg foundation.
Conflict of Interest
The authors indicated no potential Conflict of Interest.
Author Contributions
E.S: collection and/or assembly of data, data analysis and interpretation, study planning, manuscript writing. T.-Y.S: collection and/or assembly of data, data analysis and interpretation, manuscript writing, revision of manuscript. Ö.D: collection and/or assembly of data. A.-S.J: collection and/or assembly of data, provision of study material, study planning, supervision. S.L: conception and design, data analysis and interpretation, study planning, manuscript writing, financial support, supervision. All authors discussed the results and approved the manuscript before submission.
Data Availability
The data that support the findings of this study are available from the corresponding author, S.L, upon reasonable request.
References
- 1. Orkin SH, Zon LI.. Hematopoiesis: an evolving paradigm for stem cell biology. Cell. 2008;132(4):631-644. 10.1016/j.cell.2008.01.025 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Wilkinson AC, Igarashi KJ, Nakauchi H.. Haematopoietic stem cell self-renewal in vivo and ex vivo. Nat Rev Genet. 2020;21(9):541-554. 10.1038/s41576-020-0241-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Carrelha J, Meng Y, Kettyle LM, et al. Hierarchically related lineage-restricted fates of multipotent haematopoietic stem cells. Nature. 2018;554(7690):106-111. 10.1038/nature25455 [DOI] [PubMed] [Google Scholar]
- 4. Sanjuan-Pla A, Macaulay IC, Jensen CT, et al. Platelet-biased stem cells reside at the apex of the haematopoietic stem-cell hierarchy. Nature. 2013;502(7470):232-236. 10.1038/nature12495 [DOI] [PubMed] [Google Scholar]
- 5. Yamamoto R, Morita Y, Ooehara J, et al. Clonal analysis unveils self-renewing lineage-restricted progenitors generated directly from hematopoietic stem cells. Cell. 2013;154(5):1112-1126. 10.1016/j.cell.2013.08.007 [DOI] [PubMed] [Google Scholar]
- 6. Yamamoto R, Wilkinson AC, Ooehara J, et al. Large-scale clonal analysis resolves aging of the mouse hematopoietic stem cell compartment. Cell Stem Cell. 2018;22(4):600-607.e4. 10.1016/j.stem.2018.03.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Müller-Sieburg CE, Cho RH, Thoman M, Adkins B, Sieburg HB.. Deterministic regulation of hematopoietic stem cell self-renewal and differentiation. Blood. 2002;100(4):1302-1309. 10.1182/blood.V100.4.1302.h81602001302_1302_1309 [DOI] [PubMed] [Google Scholar]
- 8. Morita Y, Ema H, Nakauchi H.. Heterogeneity and hierarchy within the most primitive hematopoietic stem cell compartment. J Exp Med. 2010;207(6):1173-1182. 10.1084/jem.20091318 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Challen GA, Boles NC, Chambers SM, Goodell MA.. Distinct hematopoietic stem cell subtypes are differentially regulated by TGF-β1. Cell Stem Cell. 2010;6(3):265-278. 10.1016/j.stem.2010.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Dykstra B, Kent D, Bowie M, et al. Long-term propagation of distinct hematopoietic differentiation programs in vivo. Cell Stem Cell. 2007;1(2):218-229. 10.1016/j.stem.2007.05.015 [DOI] [PubMed] [Google Scholar]
- 11. Haas S, Trumpp A, Milsom MD.. Causes and consequences of hematopoietic stem cell heterogeneity. Cell Stem Cell. 2018;22(5):627-638. 10.1016/j.stem.2018.04.003 [DOI] [PubMed] [Google Scholar]
- 12. Osawa M, Hanada K, Hamada H, Nakauchi H.. Long-term lymphohematopoietic reconstitution by a single CD34-low/negative hematopoietic stem cell. Science. 1996;273(5272):242-245. 10.1126/science.273.5272.242 [DOI] [PubMed] [Google Scholar]
- 13. Adolfsson J, Borge OJ, Bryder D, et al. Upregulation of Flt3 expression within the bone marrow Lin−Sca1+c-kit+ stem cell compartment is accompanied by loss of self-renewal capacity. Immunity. 2001;15(4):659-669. 10.1016/s1074-7613(01)00220-5 [DOI] [PubMed] [Google Scholar]
- 14. Kiel MJ, Yilmaz OH, Iwashita T, et al. SLAM family receptors distinguish hematopoietic stem and progenitor cells and reveal endothelial niches for stem cells. Cell. 2005;121(7):1109-1121. 10.1016/j.cell.2005.05.026 [DOI] [PubMed] [Google Scholar]
- 15. Somuncular E, Hauenstein J, Khalkar P, et al. CD49b identifies functionally and epigenetically distinct subsets of lineage-biased hematopoietic stem cells. Stem Cell Rep. 2022;17(7):1546-1560. 10.1016/j.stemcr.2022.05.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Oguro H, Ding L, Morrison SJ.. SLAM family markers resolve functionally distinct subpopulations of hematopoietic stem cells and multipotent progenitors. Cell Stem Cell. 2013;13(1):102-116. 10.1016/j.stem.2013.05.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Drissen R, Buza-Vidas N, Woll P, et al. Distinct myeloid progenitor–differentiation pathways identified through single-cell RNA sequencing. Nat Immunol. 2016;17(6):666-676. 10.1038/ni.3412 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Hu Y, Smyth GK.. ELDA: extreme limiting dilution analysis for comparing depleted and enriched populations in stem cell and other assays. J Immunol Methods. 2009;347(1-2):70-78. 10.1016/j.jim.2009.06.008 [DOI] [PubMed] [Google Scholar]
- 19. Kent DG, Copley MR, Benz C, et al. Prospective isolation and molecular characterization of hematopoietic stem cells with durable self-renewal potential. Blood. 2009;113(25):6342-6350. 10.1182/blood-2008-12-192054 [DOI] [PubMed] [Google Scholar]
- 20. Beerman I, Bhattacharya D, Zandi S, et al. Functionally distinct hematopoietic stem cells modulate hematopoietic lineage potential during aging by a mechanism of clonal expansion. Proc Natl Acad Sci. 2010;107(12):5465-5470. 10.1073/pnas.1000834107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Dykstra B, Olthof S, Schreuder J, Ritsema M, Haan G de.. Clonal analysis reveals multiple functional defects of aged murine hematopoietic stem cells. J Exp Med. 2011;208(13):2691-2703. 10.1084/jem.20111490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Wahlestedt M, Pronk CJ, Bryder D.. Concise review: hematopoietic stem cell aging and the prospects for rejuvenation. Stem Cells Transl Med. 2014;4(2):186-194. 10.5966/sctm.2014-0132 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Epah J, Schäfer R.. Implications of hematopoietic stem cells heterogeneity for gene therapies. Gene Ther. 2021;28(9):528-541. 10.1038/s41434-021-00229-x [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available from the corresponding author, S.L, upon reasonable request.