The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Clonal analysis of lineage fate in native haematopoiesis
Open accessAbstract
Haematopoiesis, the process of mature blood and immune cell production, is functionally organized as a hierarchy, with self-renewing haematopoietic stem cells and multipotent progenitor cells sitting at the very top. Multiple models have been proposed as to what the earliest lineage choices are in these primitive haematopoietic compartments, the cellular intermediates, and the resulting lineage trees that emerge from them. Given that the bulk of studies addressing lineage outcomes have been performed in the context of haematopoietic transplantation, current models of lineage branching are more likely to represent roadmaps of lineage potential than native fate. Here we use transposon tagging to clonally trace the fates of progenitors and stem cells in unperturbed haematopoiesis. Our results describe a distinct clonal roadmap in which the megakaryocyte lineage arises largely independently of other haematopoietic fates. Our data, combined with single-cell RNA sequencing, identify a functional hierarchy of unilineage- and oligolineage-producing clones within the multipotent progenitor population. Finally, our results demonstrate that traditionally defined long-term haematopoietic stem cells are a significant source of megakaryocyte-restricted progenitors, suggesting that the megakaryocyte lineage is the predominant native fate of long-term haematopoietic stem cells. Our study provides evidence for a substantially revised roadmap for unperturbed haematopoiesis, and highlights unique properties of multipotent progenitors and haematopoietic stem cells in situ.
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“Finally, while single-cell genomic approaches have produced compelling evidence that observed cellular heterogeneity reflects downstream lineage decisions (Herring et al., 2018; La Manno et al., 2018; Rodriguez-Fraticelli et al., 2018), in the absence of fate tracking, all inferred biases in native hematopoiesis are speculative (Pina et al., 2012; Velten et al., 2017).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Rodriguez-Fraticelli et al., 2018
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“Direct genetic barcoding in HSCs has also resulted in similar findings (Rodriguez-Fraticelli et al., 2018).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Rodriguez-Fraticelli et al., 2018
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Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
Klein, A. M., Mazutis, L., Akartuna, I., Tallapragada, N., Veres, A., Li, V., Peshkin, L., Weitz, D. A., & Kirschner, M. W. (2015) · Cell · doi:10.1016/j.cell.2015.04.044 · Cited by 3,356
Self-citationA clonogenic common myeloid progenitor that gives rise to all myeloid lineages
Akashi, K., Traver, D., Miyamoto, T., & Weissman, I. L. (2000) · Nature · doi:10.1038/35004599 · Cited by 2,617
Wilson, A., Laurenti, E., Oser, G., van der Wath, R. C., Blanco-Bose, W., Jaworski, M., Offner, S., Dunant, C. F., Eshkind, L., Bockamp, E., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.048 · Cited by 1,908
Identification of Flt3+ Lympho-Myeloid Stem Cells Lacking Erythro-Megakaryocytic Potential
Adolfsson, J., Månsson, R., Buza-Vidas, N., Hultquist, A., Liuba, K., Jensen, C. T., Bryder, D., Yang, L., Borge, O. J., Thorén, L., et al. (2005) · Cell · doi:10.1016/j.cell.2005.02.013 · Cited by 1,323
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., Adiconis, X., Levin, J. Z., Nemesh, J., Goldman, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.054 · Cited by 1,176
Buettner, F., Natarajan, K. N., Casale, F. P., Proserpio, V., Scialdone, A., Theis, F. J., Teichmann, S. A., Marioni, J. C., & Stegle, O. (2015) · Nature Biotechnology · doi:10.1038/nbt.3102 · Cited by 1,136
Morrison, S. J., & Weissman, I. L. (1994) · Immunity · doi:10.1016/1074-7613(94)90037-x · Cited by 1,116
Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
Paul, F., Arkin, Y., Giladi, A., Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Winter, D., Lara-Astiaso, D., Gury, M., Weiner, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.013 · Cited by 1,082
Human haematopoietic stem cell lineage commitment is a continuous process
Velten, L., Haas, S. F., Raffel, S., Blaszkiewicz, S., Islam, S., Hennig, B. P., Hirche, C., Lutz, C., Buss, E. C., Nowak, D., et al. (2017) · Nature Cell Biology · doi:10.1038/ncb3493 · Cited by 925
Clonal dynamics of native haematopoiesis
Sun, J., Ramos, A., Chapman, B., Johnnidis, J. B., Le, L., Ho, Y.-J., Klein, A. M., Hofmann, O., & Camargo, F. D. (2014) · Nature · doi:10.1038/nature13824 · Cited by 803
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Ito, K., & Ito, K. (2020) · Elsevier eBooks · doi:10.1016/b978-0-323-56738-1.00001-4
Ye, J., Calvo, I. A., Cenzano, I., Vilas‐Zornoza, A., Martinez‐de‐Morentin, X., Lasaga, M., Alignani, D., Paiva, B., Viñado, A. C., Martín‐Úriz, P. S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.17.452614
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Zorina, T. D., & Black, L. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-77052-5_3
Ye, J., Calvo, I. A., Cenzano, I., Vilas‐Zornoza, A., Demorentin, X. M., Lasaga, M., Alignani, D., Pavia, B., Viñado, A. C., Martín‐Úriz, P. S., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3969389
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Wang, H., Cai, Z., Song, P., Liu, D., Jiang, F., Xu, B., & Zhang, T. (2022) · Research Square · doi:10.21203/rs.3.rs-2013471/v1
Hussen, K. A., Chabaane, E., Nelson, E., Lekiashvili, S., Diop, S., Keita, S., Evrard, B., Lardenois, A., Delord, M., Verhoeyen, E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.12.520022
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Sha, Y., Huang, L., Zhang, L., Hou, X., Mo, C., Pan, C., Chen, G., Luo, S., & Ou, M. (2025) · BMC Biology · doi:10.1186/s12915-025-02193-z
Georgiou, C., Liu, Q., Antón, S. G., Bruno, F., Birch, F., Kinston, S., Chabra, S., Wilson, N. K., Pospori, C., Blagborough, A. M., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.09.647965
Swann, J. W., Fung, J. H., Chen, Z., Olson, O. C., Collins, A., Lhakhang, T. W., Proven, M. A., Zhang, R., Rabadán, R., & Passegue, E. A. (2026) · Cell stem cell · doi:10.1016/j.stem.2026.05.007
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Secchi, M. A., Liu, Q., Antón, S. G., Mai, C., Jibril, A. S., Xu, J., O’Carroll, D., Wilson, N. K., Kranc, K. R., Göttgens, B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.20.665772
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Chen, Z., Zhang, B., Tang, L., Gong, F., Wan, L., & Ma, L. (2026) · Genome Research · doi:10.1101/gr.281460.125
Gao, A., & Gong, Y. (2025) · Current Stem Cell Research & Therapy · doi:10.2174/011574888x395136250908045533
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Hérault, L., Poplineau, M., Mazuel, A., Platet, N., Rémy, É., & Duprez, E. (2021) · Figshare · doi:10.6084/m9.figshare.13684468
Martin, E. W., Krietsch, J., Reggiardo, R. E., Sousae, R., Kim, D. H., & Forsberg, E. C. (2021) · Figshare · doi:10.6084/m9.figshare.13531703
Martin, E. W., Krietsch, J., Reggiardo, R. E., Sousae, R., Kim, D. H., & Forsberg, E. C. (2021) · Figshare · doi:10.6084/m9.figshare.13531706
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Metadata
- Authors
- Rodriguez-Fraticelli, A. E., Wolock, S. L., Weinreb, C. S., Panero, R., Patel, S. H., Jankovic, M., Sun, J., Calogero, R. A., Klein, A. M., & Camargo, F. D.
- Affiliations
- Boston Children's Hospital (US)
- Harvard University (US)
- University of Turin (IT)
- Corresponding author
- Camargo, Fernando D.
- ORCID
- Venue
- Nature
- Published
- 2018-01
- Volume
- 553
- Issue
- 7687
- Pages
- 212-216
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC5884107
- OpenAlex
- W2781886817
- Cited by
- 596
- References
- 39
- Citations by year
- 2026: 41 · 2025: 70 · 2024: 76 · 2023: 56 · 2022: 75 · 2021: 76 · 2020: 91 · 2019: 68 · 2018: 43
- FWCI
- 49.81
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Leukemia and Lymphoma Society
- Life Sciences Research Foundation
- National Institutes of Health (P01HL13147)
- National Heart, Lung, and Blood Institute (R01HL128850, P01HL131477)
- National Institute of General Medical Sciences (T32GM080177)
- National Institute of Diabetes and Digestive and Kidney Diseases (U54DK110805, P30DK034854)
- Topics
- Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Mesenchymal stem cell research
- Keywords
- hematopoiesis, hematopoietic stem cells, multipotent progenitors, clonal tracing, transposon tagging, megakaryocyte lineage, single-cell transcriptomics, megakaryopoiesis
- MeSH terms
- Animals, Clone Cells, Female, Hematopoiesis, Hematopoietic Stem Cells, Male, Megakaryocytes, Sequence Analysis, RNA, Cell Lineage, Multipotent Stem Cells, Mice, Single-Cell Analysis, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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