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Pre-existing stem cell heterogeneity dictates clonal responses to the acquisition of leukemic driver mutations
Abstract
Cancer cells display wide phenotypic variation even across patients with the same mutations. Differences in the cell of origin provide a potential explanation, but traditional assays lack the resolution to distinguish clonally heterogeneous subsets of stem and progenitor cells. To address this challenge, we developed simultaneous tracking of recombinase activation and clonal kinetics (STRACK), a method to trace clonal dynamics and gene expression before and after the acquisition of cancer mutations. Using mouse models, we studied two leukemic mutations, Dnmt3a-R878H and Npm1c, and found that their effect was highly variable across different stem cell states. Specifically, a subset of differentiation-primed stem cells, which normally becomes outcompeted with time, expands with both mutations. Intriguingly, Npm1c mutations reversed the intrinsic bias of the clone of origin, with differentiation-primed stem cells giving rise to more primitive malignant states. Thus, we highlight the relevance of single-cell lineage tracing to unravel early events in cancer evolution and posit that different cellular histories carry distinct cancer phenotypic potential.
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“In addition, cell heterogeneity across the hematopoietic differentiation spectrum hinders the ability to discern molecular differences in an ex vivo setting (Singh et al, 2025).”
From A scalable in vitro cell competition model identifies preleukemic super competitor clones (2026) · cites this paper as Singh et al, 2025
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Transformation from committed progenitor to leukaemia stem cell initiated by MLL–AF9
Krivtsov, A. V., Twomey, D., Feng, Z., Stubbs, M. C., Wang, Y., Faber, J., Levine, J. E., Wang, J., Hahn, W. C., Gilliland, D. G., et al. (2006) · Nature · doi:10.1038/nature04980 · Cited by 1,513
Lineage tracing on transcriptional landscapes links state to fate during differentiation
Weinreb, C., Rodriguez-Fraticelli, A., Camargo, F. D., & Klein, A. M. (2020) · Science · doi:10.1126/science.aaw3381 · Cited by 759
Self-citationInherited causes of clonal haematopoiesis in 97,691 whole genomes
Bick, A. G., Weinstock, J. S., Nandakumar, S. K., Fulco, C. P., Bao, E. L., Zekavat, S. M., Szeto, M. D., Liao, X., Leventhal, M. J., Nasser, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2819-2 · Cited by 733
Clonal analysis of lineage fate in native haematopoiesis
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. (2018) · Nature · doi:10.1038/nature25168 · Cited by 596
Self-citationHaas, S., Hansson, J., Klimmeck, D., Loeffler, D., Velten, L., Uckelmann, H., Wurzer, S., Prendergast, Á. M., Schnell, A., Hexel, K., et al. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2015.07.007 · Cited by 471
Wilson, N. K., Kent, D. G., Buettner, F., Shehata, M., Macaulay, I. C., Calero-Nieto, F. J., Sánchez Castillo, M., Oedekoven, C. A., Diamanti, E., Schulte, R., et al. (2015) · Cell Stem Cell · doi:10.1016/j.stem.2015.04.004 · Cited by 466
Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling
Hormaechea-Agulla, D., Matatall, K. A., Le, D. T., Kain, B., Long, X., Kus, P., Jaksik, R., Challen, G. A., Kimmel, M., & King, K. Y. (2021) · Cell Stem Cell · doi:10.1016/j.stem.2021.03.002 · Cited by 329
DNA methylation disruption reshapes the hematopoietic differentiation landscape
Izzo, F., Lee, S. C., Poran, A., Chaligne, R., Gaiti, F., Gross, B., Murali, R. R., Deochand, S. D., Ang, C., Jones, P. W., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0595-4 · Cited by 236
Resistance to inflammation underlies enhanced fitness in clonal hematopoiesis
Avagyan, S., Henninger, J. E., Mannherz, W. P., Mistry, M., Yoon, J., Yang, S., Weber, M. C., Moore, J. L., & Zon, L. I. (2021) · Science · doi:10.1126/science.aba9304 · Cited by 192
The Branching Point in Erythro-Myeloid Differentiation
Perié, L., Duffy, K. R., Kok, L., de Boer, R. J., & Schumacher, T. N. (2015) · Cell · doi:10.1016/j.cell.2015.11.059 · Cited by 185
Li, L., Bowling, S., McGeary, S. E., Yu, Q., Lemke, B., Alcedo, K., Jia, Y., Liu, X., Ferreira, M., Klein, A. M., et al. (2023) · Cell · doi:10.1016/j.cell.2023.09.019 · Cited by 167
Jakobsen, N. A., Turkalj, S., Zeng, A. G. X., Stoilova, B., Metzner, M., Rahmig, S., Nagree, M. S., Shah, S., Moore, R., Usukhbayar, B., et al. (2024) · Cell Stem Cell · doi:10.1016/j.stem.2024.05.010 · Cited by 130
Clonal hematopoiesis and inflammation – the perpetual cycle
Avagyan, S., & Zon, L. I. (2023) · Trends in Cell Biology · doi:10.1016/j.tcb.2022.12.001 · Cited by 79
Research works printed but not linked: 85
- Lenz, 2022, The Origins of Phenotypic Heterogeneity in Cancer, Cancer Res., 82, 3, 10.1158/0008-5472.CAN-21-1940 · DOI
- Blanpain, 2013, Tracing the cellular origin of cancer, Nat. Cell Biol., 15, 126, 10.1038/ncb2657 · DOI
- Visvader, 2011, Cells of origin in cancer, Nature, 469, 314, 10.1038/nature09781 · DOI
- Baggiolini, 2021, Developmental chromatin programs determine oncogenic competence in melanoma, Science, 373, 10.1126/science.abc1048 · DOI
- Rajbhandari, 2023, Single-cell mapping identifies MSI cells as a common origin for diverse subtypes of pancreatic cancer, Cancer Cell, 41, 1989, 10.1016/j.ccell.2023.09.008 · DOI
- Weiss, 2022, Anatomic position determines oncogenic specificity in melanoma, Nature, 604, 354, 10.1038/s41586-022-04584-6 · DOI
- Krivtsov, 2013, Cell of origin determines clinically relevant subtypes of MLL-rearranged AML, Leukemia, 27, 852, 10.1038/leu.2012.363 · DOI · Paper page
- Cai, 2020, Leukemia Cell of Origin Influences Apoptotic Priming and Sensitivity to LSD1 Inhibition, Cancer Discov., 10, 1500, 10.1158/2159-8290.CD-19-1469 · DOI
- Zeisig, 2021, Functional reconstruction of human AML reveals stem cell origin and vulnerability of treatment-resistant MLL-rearranged leukemia, Sci. Transl. Med., 13, 10.1126/scitranslmed.abc4822 · DOI
- Taussig, 2010, Leukemia-initiating cells from some acute myeloid leukemia patients with mutated nucleophosmin reside in the CD34(-) fraction, Blood, 115, 1976, 10.1182/blood-2009-02-206565 · DOI
- Cozzio, 2003, Similar MLL-associated leukemias arising from self-renewing stem cells and short-lived myeloid progenitors, Genes Dev., 17, 3029, 10.1101/gad.1143403 · DOI
- Huntly, 2004, MOZ-TIF2, but not BCR-ABL, confers properties of leukemic stem cells to committed murine hematopoietic progenitors, Cancer Cell, 6, 587, 10.1016/j.ccr.2004.10.015 · DOI · Paper page
- George, 2016, Leukaemia cell of origin identified by chromatin landscape of bulk tumour cells, Nat. Commun., 7, 12166, 10.1038/ncomms12166 · DOI
- SanMiguel, 2022, Cell origin-dependent cooperativity of mutant Dnmt3a and Npm1 in clonal hematopoiesis and myeloid malignancy, Blood Adv., 6, 3666, 10.1182/bloodadvances.2022006968 · DOI
- Stavropoulou, 2016, MLL-AF9 Expression in Hematopoietic Stem Cells Drives a Highly Invasive AML Expressing EMT-Related Genes Linked to Poor Outcome, Cancer Cell, 30, 43, 10.1016/j.ccell.2016.05.011 · DOI
- Paul, 2016, Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors, Cell, 164, 325, 10.1016/j.cell.2015.12.046 · DOI
- Giladi, 2018, Single-cell characterization of haematopoietic progenitors and their trajectories in homeostasis and perturbed haematopoiesis, Nat. Cell Biol., 20, 836, 10.1038/s41556-018-0121-4 · DOI · Paper page
- Jindal, 2024, Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes, Nat. Biotechnol., 42, 946, 10.1038/s41587-023-01931-4 · DOI · Paper page
- Wang, 2022, CoSpar identifies early cell fate biases from single-cell transcriptomic and lineage information, Nat. Biotechnol., 40, 1066, 10.1038/s41587-022-01209-1 · DOI
- Wagner, 2020, Lineage tracing meets single-cell omics: opportunities and challenges, Nat. Rev. Genet., 21, 410, 10.1038/s41576-020-0223-2 · DOI · Paper page
- Naik, 2013, Diverse and heritable lineage imprinting of early haematopoietic progenitors, Nature, 496, 229, 10.1038/nature12013 · DOI · Paper page
- Dykstra, 2007, Long-term propagation of distinct hematopoietic differentiation programs in vivo, Cell Stem Cell, 1, 218, 10.1016/j.stem.2007.05.015 · DOI · Paper page
- Tian, 2021, Clonal multi-omics reveals Bcor as a negative regulator of emergency dendritic cell development, Immunity, 54, 1338, 10.1016/j.immuni.2021.03.012 · DOI
- Haas, 2018, Causes and Consequences of Hematopoietic Stem Cell Heterogeneity, Cell Stem Cell, 22, 627, 10.1016/j.stem.2018.04.003 · DOI
- Tong, 2021, Hematopoietic stem cell heterogeneity is linked to the initiation and therapeutic response of myeloproliferative neoplasms, Cell Stem Cell, 28, 780, 10.1016/j.stem.2021.02.026 · DOI
- Wilkinson, 2019, Long-term ex vivo haematopoietic-stem-cell expansion allows nonconditioned transplantation, Nature, 571, 117, 10.1038/s41586-019-1244-x · DOI · Paper page
- Che, 2022, Identification and characterization of in vitro expanded hematopoietic stem cells, EMBO Rep., 23, 10.15252/embr.202255502 · DOI
- Loberg, 2019, Sequentially inducible mouse models reveal that Npm1 mutation causes malignant transformation of Dnmt3a-mutant clonal hematopoiesis, Leukemia, 33, 1635, 10.1038/s41375-018-0368-6 · DOI
- Zhang, 2024, Ex vivo expansion potential of murine hematopoietic stem cells is a rare property only partially predicted by phenotype, eLife, 12, 10.7554/eLife.91826.3 · DOI
- Rodriguez-Fraticelli, 2020, Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis, Nature, 583, 585, 10.1038/s41586-020-2503-6 · DOI · Paper page
- Guryanova, 2016, DNMT3A mutations promote anthracycline resistance in acute myeloid leukemia via impaired nucleosome remodeling, Nat. Med., 22, 1488, 10.1038/nm.4210 · DOI · Paper page
- Jakobsen, 2023, Selective advantage of mutant stem cells in clonal hematopoiesis occurs by attenuating the deleterious effects of inflammation and aging, bioRxiv
- Meng, 2023, Epigenetic programming defines haematopoietic stem cell fate restriction, Nat. Cell Biol., 25, 812, 10.1038/s41556-023-01137-5 · DOI
- Buza-Vidas, 2011, FLT3 expression initiates in fully multipotent mouse hematopoietic progenitor cells, Blood, 118, 1544, 10.1182/blood-2010-10-316232 · DOI
- Beaudin, 2016, A Transient Developmental Hematopoietic Stem Cell Gives Rise to Innate-like B and T Cells, Cell Stem Cell, 19, 768, 10.1016/j.stem.2016.08.013 · DOI · Paper page
- Stonehouse, 2024, Clonal analysis of fetal hematopoietic stem/progenitor cell subsets reveals how post-transplantation capabilities are distributed, bioRxiv
- Yamamoto, 2018, Large-Scale Clonal Analysis Resolves Aging of the Mouse Hematopoietic Stem Cell Compartment, Cell Stem Cell, 22, 600, 10.1016/j.stem.2018.03.013 · DOI · Paper page
- Carrelha, 2018, Hierarchically related lineage-restricted fates of multipotent haematopoietic stem cells, Nature, 554, 106, 10.1038/nature25455 · DOI
- Morcos, 2022, Fate mapping of hematopoietic stem cells reveals two pathways of native thrombopoiesis, Nat. Commun., 13, 4504, 10.1038/s41467-022-31914-z · DOI
- Carrelha, 2024, Alternative platelet differentiation pathways initiated by nonhierarchically related hematopoietic stem cells, Nat. Immunol., 25, 1007, 10.1038/s41590-024-01845-6 · DOI
- Nam, 2022, Single-cell multi-omics of human clonal hematopoiesis reveals that DNMT3A R882 mutations perturb early progenitor states through selective hypomethylation, Nat. Genet., 54, 1514, 10.1038/s41588-022-01179-9 · DOI · Paper page
- Uckelmann, 2020, Therapeutic targeting of preleukemia cells in a mouse model of NPM1 mutant acute myeloid leukemia, Science, 367, 586, 10.1126/science.aax5863 · DOI
- SanMiguel, 2022, Distinct tumor necrosis factor alpha Receptors Dictate Stem Cell Fitness versus Lineage Output in Dnmt3a-Mutant Clonal Hematopoiesis, Cancer Discov., 12, 2763, 10.1158/2159-8290.CD-22-0086 · DOI · Paper page
- Brunetti, 2018, Mutant NPM1 Maintains the Leukemic State through HOX Expression, Cancer Cell, 34, 499, 10.1016/j.ccell.2018.08.005 · DOI
- Li, 2017, The EMT regulator ZEB2 is a novel dependency of human and murine acute myeloid leukemia, Blood, 129, 497, 10.1182/blood-2016-05-714493 · DOI
- Ono, 2013, Plzf drives MLL-fusion-mediated leukemogenesis specifically in long-term hematopoietic stem cells, Blood, 122, 1271, 10.1182/blood-2012-09-456665 · DOI
- Mer, 2021, Biological and therapeutic implications of a unique subtype of NPM1 mutated AML, Nat. Commun., 12, 1054, 10.1038/s41467-021-21233-0 · DOI
- Naldini, 2023, Longitudinal single-cell profiling of chemotherapy response in acute myeloid leukemia, Nat. Commun., 14, 1285, 10.1038/s41467-023-36969-0 · DOI
- Mann, 1998, Hox proteins meet more partners, Curr. Opin. Genet. Dev., 8, 423, 10.1016/S0959-437X(98)80113-5 · DOI
- Li, 2013, PBX3 is an important cofactor of HOXA9 in leukemogenesis, Blood, 121, 1422, 10.1182/blood-2012-07-442004 · DOI
- Fennell, 2022, Non-genetic determinants of malignant clonal fitness at single-cell resolution, Nature, 601, 125, 10.1038/s41586-021-04206-7 · DOI
- Goyal, 2023, Diverse clonal fates emerge upon drug treatment of homogeneous cancer cells, Nature, 620, 651, 10.1038/s41586-023-06342-8 · DOI
- Schwartz, 2024, Transcriptional and functional consequences of Oncostatin M signaling on young Dnmt3a-mutant hematopoietic stem cells, Exp. Hematol., 130, 10.1016/j.exphem.2023.11.005 · DOI
- Uckelmann, 2023, Mutant NPM1 Directly Regulates Oncogenic Transcription in Acute Myeloid Leukemia, Cancer Discov., 13, 746, 10.1158/2159-8290.CD-22-0366 · DOI
- Bowman, 2024, In vivo models of subclonal oncogenesis and dependency in hematopoietic malignancy, Cancer Cell, 42, 1955, 10.1016/j.ccell.2024.10.009 · DOI
- Tzelepis, 2016, A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia, Cell Rep., 17, 1193, 10.1016/j.celrep.2016.09.079 · DOI · Paper page
- Pei, 2023, A Novel Type of Monocytic Leukemia Stem Cell Revealed by the Clinical Use of Venetoclax-Based Therapy, Cancer Discov., 13, 2032, 10.1158/2159-8290.CD-22-1297 · DOI
- Sango, 2024, RAS-mutant leukaemia stem cells drive clinical resistance to venetoclax, Nature, 636, 241, 10.1038/s41586-024-08137-x · DOI
- Levra Levron, 2023, Tissue memory relies on stem cell priming in distal undamaged areas, Nat. Cell Biol., 25, 740, 10.1038/s41556-023-01120-0 · DOI
- Del Poggetto, 2021, Epithelial memory of inflammation limits tissue damage while promoting pancreatic tumorigenesis, Science, 373, 10.1126/science.abj0486 · DOI
- Alonso-Curbelo, 2021, A gene-environment-induced epigenetic program initiates tumorigenesis, Nature, 590, 642, 10.1038/s41586-020-03147-x · DOI
- Chin, 2022, Aged healthy mice acquire clonal hematopoiesis mutations, Blood, 139, 629, 10.1182/blood.2021014235 · DOI
- Kapadia, 2024, Clonal dynamics and somatic evolution of haematopoiesis in mouse, bioRxiv
- Ganuza, 2019, The global clonal complexity of the murine blood system declines throughout life and after serial transplantation, Blood, 133, 1927, 10.1182/blood-2018-09-873059 · DOI
- Weinstock, 2023, Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis, Nature, 616, 755, 10.1038/s41586-023-05806-1 · DOI · Paper page
- Geurts, 2021, Evaluating CRISPR-based prime editing for cancer modeling and CFTR repair in organoids, Life Sci. Alliance, 4, 10.26508/lsa.202000940 · DOI · Paper page
- Sommerkamp, 2021, Engineering human hematopoietic environments through ossicle and bioreactor technologies exploitation, Exp. Hematol., 94, 20, 10.1016/j.exphem.2020.11.008 · DOI
- Frenz-Wiessner, 2024, Generation of complex bone marrow organoids from human induced pluripotent stem cells, Nat. Methods, 21, 868, 10.1038/s41592-024-02172-2 · DOI
- Khan, 2023, Human Bone Marrow Organoids for Disease Modeling, Discovery, and Validation of Therapeutic Targets in Hematologic Malignancies, Cancer Discov., 13, 364, 10.1158/2159-8290.CD-22-0199 · DOI
- Chen, 2022, Live-seq enables temporal transcriptomic recording of single cells, Nature, 608, 733, 10.1038/s41586-022-05046-9 · DOI
- Benz, 2008, The stream of precursors that colonizes the thymus proceeds selectively through the early T lineage precursor stage of T cell development, J. Exp. Med., 205, 1187, 10.1084/jem.20072168 · DOI
- Bindels, 2017, mScarlet: a bright monomeric red fluorescent protein for cellular imaging, Nat. Methods, 14, 53, 10.1038/nmeth.4074 · DOI
- Balleza, 2018, Systematic characterization of maturation time of fluorescent proteins in living cells, Nat. Methods, 15, 47, 10.1038/nmeth.4509 · DOI
- Köster, 2012, Snakemake--a scalable bioinformatics workflow engine, Bioinformatics, 28, 2520, 10.1093/bioinformatics/bts480 · DOI · Paper page
- Liu, 2019, Algorithms for efficiently collapsing reads with Unique Molecular Identifiers, PeerJ, 7, 10.7717/peerj.8275 · DOI
- Hao, 2024, Dictionary learning for integrative, multimodal and scalable single-cell analysis, Nat. Biotechnol., 42, 293, 10.1038/s41587-023-01767-y · DOI · Paper page
- Germain, 2021, Doublet identification in single-cell sequencing data using scDblFinder, F1000Res, 10, 979, 10.12688/f1000research.73600.1 · DOI · Paper page
- Lun, 2019, EmptyDrops: distinguishing cells from empty droplets in droplet-based single-cell RNA sequencing data, Genome Biol., 20, 63, 10.1186/s13059-019-1662-y · DOI
- Finak, 2015, MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data, Genome Biol., 16, 278, 10.1186/s13059-015-0844-5 · DOI · Paper page
- Fang, 2023, GSEApy: a comprehensive package for performing gene set enrichment analysis in Python, Bioinformatics, 39, 10.1093/bioinformatics/btac757 · DOI
- Bibby, 2022, Systematic single-cell pathway analysis to characterize early T cell activation, Cell Rep., 41, 10.1016/j.celrep.2022.111697 · DOI
- Alquicira-Hernandez, 2021, Nebulosa recovers single-cell gene expression signals by kernel density estimation, Bioinformatics, 37, 2485, 10.1093/bioinformatics/btab003 · DOI · Paper page
- Blanco-Carmona, 2022, Generating publication ready visualizations for Single Cell transcriptomics using SCpubr, bioRxiv
- Wilkinson, 2020, Long-term ex vivo expansion of mouse hematopoietic stem cells, Nat. Protoc., 15, 628, 10.1038/s41596-019-0263-2 · DOI
- Biddy, 2018, Single-cell mapping of lineage and identity in direct reprogramming, Nature, 564, 219, 10.1038/s41586-018-0744-4 · DOI
Cited by
A scalable in vitro cell competition model identifies preleukemic super competitor clones
Cabrera-Cosme, L., Rubio-Lara, J. A., Bennett, E., Miłek, J., Baldreki, C., Dowle, A., Vijayabaskar, M. S., Davies, S. J., Taylor-Smith, E., Bain, F. M., et al. (2026) · doi:10.64898/2026.10.21.760611
Metadata
- Authors
- Singh, I., Fernandez-Perez, D., Sanchez, P. S., & Rodriguez-Fraticelli, A. E.
- Venue
- Cell Stem Cell
- Publisher
- Elsevier BV
- Published
- 2025-04
- Volume
- 32
- Issue
- 4
- Pages
- 564-580.e6
- ISSN
- 1934-5909
- Cited by
- 25
- References
- 13
- Language
- en
- Licence
- Funders
- Horizon 2020
- Agència de Gestió d'Ajuts Universitaris i de Recerca (2017 SGR 1322)
- Caixabank SA
- EU Framework Programme for Research and Innovation Marie Skłodowska-Curie Actions (945352, 101109276)
- Generalitat de Catalunya
- Institut Ruđer Bošković
- Universitat de Barcelona
- Institució Catalana de Recerca i Estudis Avançats
- Ministerio de Ciencia e Innovación (PID2020-114638RA-I00)
- HORIZON EUROPE European Research Council (101042992)
- CRIS Cancer Foundation (PR_EX_2020-24)
- European Research Council
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