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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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Cites
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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Singh, I., Fernández-Pérez, D., Sanchez-Sanchez, P., & Rodriguez-Fraticelli, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.2139/ssrn.4831225 · Cited by 4
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Lama, C., Isakov, D., Rosenberg, S., Quijada-Álamo, M., Saurty-Seerunghen, M. S., Moein, S., Nozais, M., Abera, T.-A., Sakaguchi, O., Totwani, M., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02751-3 · Cited by 3
Self-citationClonal tracing of blood stem cells across mouse and human lifespans
Rodriguez-Fraticelli, A. (2025) · Blood · doi:10.1182/blood.2024028195 · Cited by 4
Self-citationDoherty-Boyd, W. S., Tsimbouri, P. M., Jayawarna, V., Walker, M., Taqi, A. F., Mahon, N., Meek, R. M. D., Young, P. S., Miller, A. F., West, A. G., et al. (2025) · Biomaterials · doi:10.1016/j.biomaterials.2025.123803 · Cited by 3
Shang, F., Nizharadze, T., Thiele, R., Cirovic, B., Frank, L., Busch, K., Pei, W., Feyerabend, T. B., Höfer, T., Wang, X., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2505510122 · Cited by 3
Metabolic Stress and Immune Activation in Heart Failure With a Preserved Ejection Fraction
Pereira, A., Alvarez‐Argote, S., Meite, I., Inui, H., Sterling, J. K., Thorp, E. J., Feinstein, M. J., Filipp, M., & Thorp, E. B. (2026) · Immunological Reviews · doi:10.1111/imr.70103 · Cited by 4
Rodriguez-Correa, E., Grünschläger, F., Nizharadze, T., Anstee, N., Al-Sabah, J., Kumpošt, V., Sedlmeier, A., Li, C., Ball, M., Fotopoulou, F., et al. (2026) · Nature Cell Biology · doi:10.1038/s41556-026-01958-0 · Cited by 6
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Wang, J., Liang, Y., Xu, Z., Gao, J., Tong, J., & Shi, L. (2024) · Cell and Tissue Research · doi:10.1007/s00441-024-03903-9 · Cited by 3
Recent Advances in Stem Cells of Corneal Epithelia
Li, Y., & Liu, Y. (2025) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.66.5.45 · Cited by 3
Quantitative phase imaging with temporal kinetics predicts hematopoietic stem cell diversity
Yogo, T., Iwamoto, Y., Becker, H., Kimura, T., Ishida, R., Sugiyama-Finnis, A., Yokomizo, T., Suda, T., Ota, S., & Yamazaki, S. (2025) · Nature Communications · doi:10.1038/s41467-025-61846-3 · Cited by 3
Decoding cell fate: integrated experimental and computational analysis at the single-cell level
Zhou, Y., Hou, S., Miao, X., Zhang, G., Li, Z., Zhang, D., Lin, Y., & Lin, Y. (2025) · Bioinformatics · doi:10.1093/bioinformatics/btaf603 · Cited by 4
Lyne, A.-M., & Perié, L. (2020) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2020.2992813 · Cited by 3
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Asgari, A., & Jurasz, P. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24098145 · Cited by 3
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Liu, S., Adams, S. E., Zheng, H., Ehnot, J., Jung, S. K., Jeffrey, G., Menna, T. N., Purton, L. E., Lee, H., & Kurre, P. (2024) · eLife · doi:10.7554/elife.97504.3 · Cited by 3
Shaban, D., Najm, N., Droin, L., & Nijnik, A. (2024) · Stem Cell Reviews and Reports · doi:10.1007/s12015-024-10782-8 · Cited by 3
The lung is a megakaryocyte outpost that can defend against thrombocytopenic attack
Yeung, A. K., & Murphy, G. J. (2024) · Journal of Clinical Investigation · doi:10.1172/jci186111 · Cited by 3
Hansberg, W. (2022) · Differentiation · doi:10.1016/j.diff.2022.02.005 · Cited by 4
Clonal Origin in Normal Adults of All Blood Lineages and Circulating Hematopoietic Stem Cells
Wang, K., Yan, Z., Zhang, S., Bartholdy, B., Eaves, C. J., & Bouhassira, E. E. (2019) · Experimental Hematology · doi:10.1016/j.exphem.2020.01.005 · Cited by 3
Kao, Y.-R., Chen, J., Kumari, R., Tatiparthy, M., Ma, Y., Aivalioti, M. M., Zintiridou, A., Thiruthuvanathan, V. J., Reisz, J. A., Stransky, S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.03.454947 · Cited by 3
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Goins, L. M., Girard, J. R., Mondal, B. C., Buran, S., Su, C. C., Tang, R., Biswas, T., & Banerjee, U. K. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.29.547151 · Cited by 3
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Fukushima, T., Kristiansen, T. A., Wong, L. P., Tanaka, Y., Yagi, M., Chang, Y.-H., Kimura, T., Keyes, S., Mazzola, M. C., Zhao, T., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.23.639689 · Cited by 3
Hemapoietic Stem Cell and Initial Stages of Hemopoiesis: Research Methods and Modern Concepts
Шевелева, О. Н., & Lyadova, I. V. (2022) · Russian Journal of Developmental Biology · doi:10.1134/s1062360422060078 · Cited by 2
Usart, M., Kimmerlin, Q., Stetka, J., Stoll, C. B., Rai, S., Fonseca, T. A., Karjalainen, R., Hao-Shen, H., Roux, J., Taher, A. E., et al. (2025) · Leukemia · doi:10.1038/s41375-025-02550-5 · Cited by 2
Kasirer‐Friede, A. (2025) · International Journal of Translational Medicine · doi:10.3390/ijtm5030025 · Cited by 2
Ezponda, T., Aldaz, A., Piérola, A. A., & Gañán‐Gómez, I. (2025) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-25-0591 · Cited by 3
Yu, H., Zhang, J., Liu, Q., Li, D., Pan, R., Miao, G., Chen, Y., Kou, Z., Qu, G., Zhang, R., et al. (2025) · Advanced Science · doi:10.1002/advs.202512663 · Cited by 2
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Bailey, E., Kalampalika, F., Sánchez‐Lanzas, R., Barclay, J., Jiménez‐Pompa, A., Wang, J., & Ganuza, M. (2025) · Experimental Hematology · doi:10.1016/j.exphem.2025.105334 · Cited by 4
Ganuza, M., & Yoshimoto, M. (2025) · Experimental Hematology · doi:10.1016/j.exphem.2025.105352 · Cited by 3
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Chaikof, E. L., Chen, J., Gillette, M. U., Boyer, L. A., Deans, T. L., Li, P., Hilton, I. B., Daniels, K. G., Goyal, Y., Mei, Y., et al. (2025) · Cell Systems · doi:10.1016/j.cels.2025.101446 · Cited by 2
Ye, D., Zhou, H., Qu, S., Wang, Z., Zhang, F., Wang, X., Zhao, Y., Liang, J., Wang, Q., Luan, Z., et al. (2026) · Cell Death Discovery · doi:10.1038/s41420-026-02971-w · Cited by 2
Chen, F., Chen, N., Wang, L., Zeng, H., Lu, Y., Liu, Y., Chen, J., Xu, Y., Chen, M., Wang, S., et al. (2026) · HemaSphere · doi:10.1002/hem3.70334 · Cited by 2
Poscablo, D. M., & Forsberg, E. (2021) · Advances in Geriatric Medicine and Research · doi:10.20900/agmr20210019 · Cited by 3
Yammine, S. Z., Burns, I., Gosio, J., Peluso, A., Merritt, D. M., Innes, B. T., Coles, B. L. K., Yan, W. R., Bader, G. D., Morshead, C. M., et al. (2023) · Stem Cells and Development · doi:10.1089/scd.2023.0038 · Cited by 3
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Geng, T., Yang, D., Lin, T., Harrison, A. G., Wang, B., Cao, Z., Torrance, B. L., Fan, Z., Wang, K., Wang, Y., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105248 · Cited by 2
Martinez, T. C., Jotte, M. R. M., Khan, S. S., Stoddart, A., Blaylock, H. Z., Malik, A., & McNerney, M. E. (2025) · Blood · doi:10.1182/blood.2024026815 · Cited by 4
Yu, W., Schmachtel, T., Fawaz, M., & Rieger, M. A. (2022) · Methods in cell biology · doi:10.1016/bs.mcb.2022.04.009 · Cited by 2
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Kudlay, D. A., & Александрович, И. Д. (2021) · Russian Journal of Pediatric Hematology and Oncology · doi:10.21682/2311-1267-2021-8-3-71-78 · Cited by 2
Wunderlich, F., Delić, D., Gerovska, D., & Araúzo-Bravo, M. (2022) · Vaccines · doi:10.3390/vaccines10020287 · Cited by 2
Gotzhein, F., Aranyossy, T., Thielecke, L., Sonntag, T., Thaden, V., Fehse, B., Müller, I., Glauche, I., & Cornils, K. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23063160 · Cited by 2
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Kent, D. G. (2022) · Experimental Hematology · doi:10.1016/j.exphem.2022.10.004 · Cited by 3
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Bigildeev, A., Петинати, Н. А., & Дризе, Н. И. (2019) · Molecular Biology · doi:10.1134/s0026898419050021 · Cited by 2
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Sturgess, K., Calero‐Nieto, F. J., Göttgens, B., & Wilson, N. K. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1425-9_22 · Cited by 2
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Gupta, M. K., Gouda, G., Donde, R., Sabarinathan, S., Goswami, P., Dash, G. K., Rajesh, N., Pati, P., Rathode, S. K., Vadde, R., et al. (2021) · Springer eBooks · doi:10.1007/978-981-16-3993-7_25 · Cited by 2
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Bystrykh, L. V., & Belderbos, M. E. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.836141 · Cited by 3
Fidanza, A., Romanò, N., Ramachandran, P., Tamagno, S., Lopez‐Yrigoyen, M., Taylor, A. H., Easterbrook, J. E., Henderson, B. E. P., Axton, R. A., Henderson, N. C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/602565 · Cited by 2
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Zhang, J., Wu, Q., Johnson, C. B., Olsson, A., Slaughter, A., May, M. L., Weinhaus, B., D’Alessandro, A., Engel, J. D., Jiang, J. X., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.02.014548 · Cited by 2
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Kuciński, I., Campos, J., Barile, M., Severi, F., Bohin, N., Moreira, P. N., Allen, L., Lawson, H., Haltalli, M. L. R., Kinston, S., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.07.506735 · Cited by 2
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Ishiguro, S., Ishida, K., Sakata, R. C., Mori, H., Takana, M., King, S. B., Bashth, O. S., Ichiraku, M., Masuyama, N., Takimoto, R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.18.524633 · Cited by 2
Rommelfanger, M. K., Behrends, M., Chen, Y., Martinez, J., Bens, M., Xiong, L., Rudolph, K. L., & MacLean, A. L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.18.537360 · Cited by 2
Livada, A. C., McGrath, K. E., Malloy, M. W., Li, C., Ture, S. K., Kingsley, P. D., Koniski, A. D., Vit, L. A., Nolan, K. E., Mickelsen, D. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.11.589077 · Cited by 2
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Iwanami, S., Sato, T., Haeno, H., Xu, L., Imamura, K., Ooehara, J., Lan, X., Nakauchi, H., Iwami, S., & Yamamoto, R. (2025) · iScience · doi:10.1016/j.isci.2025.112547 · Cited by 1
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Choi, H., Jung, S.-E., Earth, Y., Paik, H., Lin, S., Yi, J., Cox, M. J., Oh, S. T., Oh, S. T., & Kang, Y.-A. (2026) · Blood Advances · doi:10.1182/bloodadvances.2026019895 · Cited by 1
Wagner, S., Thielecke, L., & Glauche, I. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111079 · Cited by 1
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Rojo, I. C., Millán‐Aldaco, D., Rincón-Heredia, R., Martínez‐Vieyra, I., Rosales-García, V. H., Aztatzi-Aguilar, G., Pérez‐Hernández, N., Hernández‐Cruz, A., & Cerecedo, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-24322-y · Cited by 2
Xiang, J., Almeida, L., Pasillas, J., Sun, C. T., Wang, Y., Koren, E., Hanson, E. T., Brakebill, A., Wang, C., Burden, A. T., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2513724122 · Cited by 1
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Zhang, L., Wang, X., Wang, S., Ma, Y., Cao, Y., Zhang, X., Lu, Y., Wang, S., & Wang, Y. (2025) · International Journal of Surgery · doi:10.1097/js9.0000000000003916 · Cited by 1
Berge, K. V. D., Bakalar, D., Chou, H.-J., Kunda, D., Risso, D. S., Street, K., Purdom, E. A., Dudoit, S., Ngai, J., & Heavner, W. E. (2026) · Stem Cell Reports · doi:10.1016/j.stemcr.2025.102778 · Cited by 1
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Wei Min, N. I., Zhan, H., Deng, Y., Liu, M., Xiao, Y., Gong, Y., Wang, X., Guan, P., Lou, X., Xie, Y., et al. (2026) · Nature Cell Biology · doi:10.1038/s41556-026-01960-6 · Cited by 1
Chen, J., Li, Z., Zhang, Y., Xu, B., Chen, F., Chen, M., Shen, M., Hu, M., Ran, X., Wang, S., et al. (2026) · Blood · doi:10.1182/blood.2025032496 · Cited by 1
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Zhang, M., Liu, D., Lan, Y., Liu, B., Li, Z., & Ni, Y. (2024) · Blood Science · doi:10.1097/bs9.0000000000000176 · Cited by 1
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Wei, Y., & Lin, F. (2025) · Molecular Medicine Reports · doi:10.3892/mmr.2025.13552 · Cited by 2
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Kobayashi, H., & Takubo, K. (2021) · Journal of Visualized Experiments · doi:10.3791/61938 · Cited by 1
From development toward therapeutics, a collaborative effort on blood progenitors
Choudhuri, A., Han, T., & Zon, L. I. (2021) · Stem Cell Reports · doi:10.1016/j.stemcr.2021.05.010 · Cited by 1
Brown, G., & Ceredig, R. (2018) · MDPI eBooks · doi:10.3390/books978-3-03897-275-4 · Cited by 1
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Bigildeev, A., Петинати, Н. А., & Дризе, Н. И. (2019) · Molecular Biology · doi:10.1134/s0026893319050029 · Cited by 1
Choudry, F., Bagger, F., Macaulay, I., Farrow, S., Burden, F., Kempster, C., McKinney, H. L., Olsen, L. R., Huang, N., Downes, K., et al. (2020) · bioRxiv · doi:10.1101/2020.02.20.957936 · Cited by 2
Georgolopoulos, G., Psatha, N., Iwata, M., Nishida, A., Som, T., Yiangou, M., Stamatoyannopoulos, J. A., & Vierstra, J. D. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.02.022566 · Cited by 1
Estevez, B., Borst, S., Jarocha, D., Sudunagunta, V., Gonzalez, M. V., Garifallou, J. P., Hakonarson, H., Gao, P., Tan, K., Liu, P. P., et al. (2020) · bioRxiv · doi:10.1101/2020.08.23.260281
Velasco-Hernández, T., Trincado, J. L., Vinyoles, M., Closa, A., Gutiérrez‐Agüera, F., Molina, Ò., Rodríguez-Cortez, V., Petazzi, P., Beneyto‐Calabuig, S., Velten, L., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.02.482638 · Cited by 1
Ghersi, J. J., Baldissera, G., Hintzen, J., Luff, S. A., Cheng, S., Xia, I. F., Sturgeon, C. M., & Nicoli, S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.28.509963 · Cited by 1
Comazzetto, S., Cassidy, D. L., DeVilbiss, A., Jeffery, E. C., Ottesen, B. R., Reyes, A. R., Muh, S., Mathews, T. P., Chen, B., Zhao, Z., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.01.587574 · Cited by 1
Dynamic Tracking of Native Polyclonal Hematopoiesis in Adult MicePreprint
Liu, S., Adams, S. E., Zheng, H., Ehnot, J., Jung, S. K., Jeffrey, G., Menna, T. N., Purton, L. E., Lee, H., & Kurre, P. (2024) · eLife · doi:10.7554/elife.97504.1 · Cited by 1
Glycan-Mediated Mechanosensing Regulates Megakaryocyte-Biased Hematopoietic Stem Cell SubsetsPreprint
Roisman, A., Rivadeneyra, L., Conroy, L. R., Lee‐Sundlov, M. M., Weich, N., Glabere, S. H., Zheng, S., Rosenbalm, K. E., Zogg, M., Steinhardt, G., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.25.634886 · Cited by 1
Rodriguez-Correa, E., Grünschläger, F., Nizharadze, T., Anstee, N. S., Al-Sabah, J., Kumpošt, V., Sedlmeier, A., Li, C., Ball, M., Fotopoulou, F., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.04.636388 · Cited by 1
Ischemic Injury Drives Tumor Growth via Accelerated Hematopoietic AgingPreprint
Newman, A. A. C., Durán, J. G. B., Itter, R. V., Dalman, J. M., Lim, B., Gourvest, M., Zahr, T., Wang, K. M., Zhang, T., Albarracin, N., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.03.652034 · Cited by 1
Palii, C. G., Tur, S., Yan, S., Longabaugh, W. J. R., Solano, R., Dilworth, F. J., Ranish, J. A., & Brand, M. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.11.675740 · Cited by 1
Zhang, H., Gu, W., Yu, K., Tu, C., Chang, W., & Liu, J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.29.696958 · Cited by 1
Hackett, S., Boniface, C. T., Fonseca, A. V. A., Ramos-Yamasaki, A. D., Watson, C. J., Bazin, H. M. L. *., Tan, A. B., Yu, H. L. L., Hanssen, L. L. P., Dev, H., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.23.707349 · Cited by 2
Gao, J., Lin, D. S. Y., Crampin, E. J., & Naik, S. H. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/279406
Galeev, R. (2018) · Lund University Publications (Lund University)
The Deconvolution of Human Hematopoiesis
Milsom, M. D. (2018) · HemaSphere · doi:10.1097/hs9.0000000000000153
Modelling Ineffective Erythropoiesis in Myelodysplastic Syndromes with Ring Sideroblasts
Elvarsdóttir, E. M. (2019) · Figshare · doi:10.13140/rg.2.2.13726.28485
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
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