The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Single-cell characterization of haematopoietic progenitors and their trajectories in homeostasis and perturbed haematopoiesis
Open accessAbstract
The dynamics of haematopoietic stem cell differentiation and the hierarchy of oligopotent stem cells in the bone marrow remain controversial. Here we dissect haematopoietic progenitor populations at single cell resolution, deriving an unbiased reference model of transcriptional states in normal and perturbed murine bone marrow. We define the signature of the naive haematopoietic stem cell and find a continuum of core progenitor states. Core cell populations mix transcription of pre-myeloid and pre-lymphoid programs, but do not mix erythroid or megakaryocyte programs with other fates. CRISP-seq perturbation analysis confirms our models and reveals that Cebpa regulates entry into all myeloid fates, while Irf8 and PU.1 deficiency block later differentiation towards monocyte or granulocyte fates. Our transcriptional map defines a reference network model for blood progenitors and their differentiation trajectories during normal and perturbed haematopoiesis.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, with improved abilities to simultaneously interrogate gene expression, while perturbing key master regulators of this process, such as hematopoietic transcription factors (TFs), it has become clear that there are distinct transition points that occur over this continuous transcriptomic landscape, suggesting the presence of punctuated transitions (Giladi et al., 2018).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Giladi et al., 2018
In the citing paper
“It is still unclear how continuous lineage decisions could be made, but there is support for cells expressing distinct modules of transcriptional programs that cooperate to subtly and continuously prime cells to differentiate along target lineages (Giladi et al., 2018; Velten et al., 2017).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Giladi et al., 2018
In the citing paper
“Such approaches have contributed to our understanding of the relationship between enhancer elements and the genes they regulate (Giladi et al., 2018).”
From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Giladi et al., 2018
Citations
Cites
A Direct Measurement of the Radiation Sensitivity of Normal Mouse Bone Marrow Cells1
Till, J. E., & McCulloch, E. A. (2010) · Radiation Research · doi:10.1667/rrxx28.1 · Cited by 4,036
A Direct Measurement of the Radiation Sensitivity of Normal Mouse Bone Marrow Cells
Till, J. E., & McCulloch, E. A. (1961) · Radiation Research · doi:10.2307/3570892 · Cited by 3,848
Mesenchymal and haematopoietic stem cells form a unique bone marrow niche
Méndez‐Ferrer, S., Michurina, T. V., Ferraro, F., Mazloom, A. R., MacArthur, B. D., Lira, S. A., Scadden, D. T., Ma’ayan, A., Enikolopov, G., & Frenette, P. S. (2010) · Nature · doi:10.1038/nature09262 · Cited by 3,381
Kiel, M. J., Yilmaz, Ö. H., Iwashita, T., Yilmaz, O. H., Terhorst, C., & Morrison, S. J. (2005) · Cell · doi:10.1016/j.cell.2005.05.026 · Cited by 3,168
Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
Zeisel, A., Muñoz-Manchado, A. B., Codeluppi, S., Lönnerberg, P., La Manno, G., Juréus, A., Marques, S., Munguba, H., He, L., Betsholtz, C., et al. (2015) · Science · doi:10.1126/science.aaa1934 · Cited by 3,124
Identification of the haematopoietic stem cell niche and control of the niche size
Zhang, J., Niu, C. S., Ye, L., Huang, H., He, X. C., Tong, W.-G., Ross, J., Haug, J., Johnson, T. J., Feng, J. Q., et al. (2003) · Nature · doi:10.1038/nature02041 · Cited by 2,948
Purification and Characterization of Mouse Hematopoietic Stem Cells
Spangrude, G. J., Heimfeld, S., & Weissman, I. L. (1988) · Science · doi:10.1126/science.2898810 · Cited by 2,908
Hematopoiesis: An Evolving Paradigm for Stem Cell Biology
Orkin, S. H., & Zon, L. I. (2008) · Cell · doi:10.1016/j.cell.2008.01.025 · Cited by 2,570
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Elefant, N., Paul, F., Zaretsky, I., Mildner, A., Cohen, N., Jung, S., Tanay, A., et al. (2014) · Science · doi:10.1126/science.1247651 · Cited by 1,795
Self-citationMapping the Mouse Cell Atlas by Microwell-Seq
Han, X., Wang, R., Zhou, Y., Fei, L., Sun, H., Lai, S., Saadatpour, A., Zhou, Z., Chen, H., Ye, F., et al. (2018) · Cell · doi:10.1016/j.cell.2018.02.001 · Cited by 1,597
Cited by
Sorted by citations
Neutrophil diversity and plasticity in tumour progression and therapy
Jaillon, S., Ponzetta, A., Mitri, D. D., Santoni, A., Bonecchi, R., & Mantovani, A. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0281-y · Cited by 1,333
The bone marrow microenvironment at single-cell resolution
Tikhonova, A. N., Dolgalev, I., Hu, H., Sivaraj, K. K., Hoxha, E., Cuesta-Domínguez, Á., Pinho, S., Akhmetzyanova, I., Gao, J., Witkowski, M., et al. (2019) · Nature · doi:10.1038/s41586-019-1104-8 · Cited by 936
Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection
Xie, X., Shi, Q., Wu, P., Zhang, X., Kambara, H., Su, J., Yu, H., Park, S., Guo, R., Ren, Q., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0736-z · Cited by 894
Ng, L. G., Ostuni, R., & Hidalgo, A. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0141-8 · Cited by 761
Fate Mapping via Ms4a3-Expression History Traces Monocyte-Derived Cells
Liu, Z., Gu, Y., Chakarov, S., Bleriot, C., Kwok, I., Chen, X., Shin, A., Huang, W., Dress, R. J., Dutertre, C.-A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.009 · Cited by 719
Self-citationMacrophage diversity in cancer revisited in the era of single-cell omics
Ma, R., Black, A., & Qian, B. (2022) · Trends in Immunology · doi:10.1016/j.it.2022.04.008 · Cited by 732
Alshetaiwi, H. S., Pervolarakis, N., McIntyre, L. L., Ma, D., Nguyen, Q., Rath, J. A., Nee, K., Hernandez, G. A., Evans, K. T., Torosian, L., et al. (2020) · Science Immunology · doi:10.1126/sciimmunol.aay6017 · Cited by 532
Cross-Species Single-Cell Analysis Reveals Divergence of the Primate Microglia Program
Geirsdottir, L., David, E., Keren-Shaul, H., Weiner, A., Bohlen, S. C., Neuber, J., Balic, A., Giladi, A., Sheban, F., Dutertre, C.-A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.11.010 · Cited by 461
Self-citationLung Single-Cell Signaling Interaction Map Reveals Basophil Role in Macrophage Imprinting
Cohen, M., Giladi, A., Gorki, A.-D., Gelbard-Solodkin, D., Zada, M., Hladik, A., Miklosi, A., Salame, T., Halpern, K. B., David, E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.09.009 · Cited by 418
Self-citationMetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions
Baran, Y., Bercovich, A., Sebé-Pedrós, A., Lubling, Y., Giladi, A., Chomsky, E., Meir, Z., Hoichman, M., Lifshitz, A., & Tanay, A. (2019) · Genome biology · doi:10.1186/s13059-019-1812-2 · Cited by 392
Self-citationGrieshaber‐Bouyer, R., Radtke, F. A., Cunin, P., Stifano, G., Levescot, A., Vijaykumar, B., Nelson-Maney, N., Blaustein, R. B., Monach, P. A., Nigrovic, P. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22973-9 · Cited by 371
Friedman, G., Levi-Galibov, O., David, E., Bornstein, C., Giladi, A., Dadiani, M., Mayo, A., Halperin, C., Pevsner‐Fischer, M., Lavon, H., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0082-y · Cited by 355
Self-citationC/EBPβ-Dependent Epigenetic Memory Induces Trained Immunity in Hematopoietic Stem Cells
de Laval, B., Maurizio, J., Kandalla, P. K., Brisou, G., Simonnet, L., Huber, C., Gimenez, G., Matcovitch-Natan, O., Reinhardt, S., David, E., et al. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.01.017 · Cited by 356
Self-citationSomatic mutations and cell identity linked by Genotyping of Transcriptomes
Nam, A. S., Kim, K.-T., Chaligne, R., Izzo, F., Ang, C., Taylor, J., Myers, R. M., Abu-Zeinah, G., Brand, R., Omans, N. D., et al. (2019) · Nature · doi:10.1038/s41586-019-1367-0 · Cited by 333
Hematopoietic progenitor cells as integrative hubs for adaptation to and fine-tuning of inflammation
Chavakis, T., Mitroulis, I., & Hajishengallis, G. (2019) · Nature Immunology · doi:10.1038/s41590-019-0402-5 · Cited by 330
Kwok, A. J., Allcock, A., Ferreira, R. C., Cano-Gamez, E., Smee, M., Burnham, K. L., Zurke, Y.-X., Novak, A., Darwent, M., Baron, T., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01490-5 · Cited by 328
Keren-Shaul, H., Kenigsberg, E., Jaitin, D. A., David, E., Paul, F., Tanay, A., & Amit, I. (2019) · Nature Protocols · doi:10.1038/s41596-019-0164-4 · Cited by 292
Self-citationSingle-cell lineage tracing unveils a role for TCF15 in haematopoiesis
Rodriguez-Fraticelli, A., Weinreb, C., Wang, S., Migueles, R. P., Jankovic, M., Usart, M., Klein, A. M., Lowell, S., & Camargo, F. D. (2020) · Nature · doi:10.1038/s41586-020-2503-6 · Cited by 265
Kwok, I., Becht, É., Xia, Y., Ng, M. S. F., Teh, Y. C., Tan, L., Evrard, M., Li, J. L. Y., Tran, H. T., Tan, Y., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.06.005 · Cited by 270
Self-citationSingle cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma
Ledergor, G., Weiner, A., Zada, M., Wang, S.-Y., Cohen, Y. C., Gatt, M. E., Snir, N., Magen, H., Koren-Michowitz, M., Herzog-Tzarfati, K., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0269-2 · Cited by 263
Self-citationDress, R. J., Dutertre, C., Giladi, A., Schlitzer, A., Low, I., Shadan, N. B., Tay, A., Lum, J., Kairi, M. F. B. M., Hwang, Y. Y., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0420-3 · Cited by 248
Self-citationDifferential IRF8 Requirement Defines Two Pathways of Dendritic Cell Development in Humans
Cytlak, U., Resteu, A., Pagan, S., Green, K., Milne, P., Maisuria, S., McDonald, D., Hulme, G., Filby, A. J., Carpenter, B., et al. (2019) · Immunity · doi:10.1016/j.immuni.2020.07.003 · Cited by 257
Single-cell transcriptome profiling of an adult human cell atlas of 15 major organs
He, S., Wang, L.-H., Liu, Y., Li, Y., Chen, H.-T., Xu, J.-H., Peng, W., Lin, G.-W., Wei, P.-P., Li, B., et al. (2020) · Genome biology · doi:10.1186/s13059-020-02210-0 · Cited by 237
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
Interrogation of human hematopoiesis at single-cell and single-variant resolution
Ulirsch, J. C., Lareau, C. A., Bao, E. L., Ludwig, L. S., Guo, M. H., Benner, C., Satpathy, A. T., Kartha, V. K., Salem, R. M., Hirschhorn, J. N., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0362-6 · Cited by 208
XCR1+ type 1 conventional dendritic cells drive liver pathology in non-alcoholic steatohepatitis
Deczkowska, A., David, E., Ramadori, P., Pfister, D., Safran, M., Li, B., Giladi, A., Jaitin, D. A., Barboy, O., Cohen, M., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01344-3 · Cited by 197
Self-citationThe Myeloid Cell Compartment—Cell by Cell
Bassler, K. E., Schulte-Schrepping, J., Warnat‐Herresthal, S., Aschenbrenner, A. C., & Schultze, J. L. (2019) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042718-041728 · Cited by 200
Triana, S., Vonficht, D., Jopp-Saile, L., Raffel, S., Lutz, R., Leonce, D., Antes, M., Hernández-Malmierca, P., Ordoñez-Rueda, D., Ramasz, B., et al. (2021) · Nature Immunology · doi:10.1038/s41590-021-01059-0 · Cited by 195
Self-citationA Single-Cell Sequencing Guide for Immunologists
See, P., Lum, J., Chen, J., & Ginhoux, F. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02425 · Cited by 198
Self-citationm6A RNA Methylation Maintains Hematopoietic Stem Cell Identity and Symmetric Commitment
Cheng, Y., Luo, H., Izzo, F., Pickering, B. F., Nguyen, D. T. T., Myers, R. M., Schurer, A., Gourkanti, S., Brüning, J. C., Vu, L., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.032 · Cited by 175
Emerging Principles in Myelopoiesis at Homeostasis and during Infection and Inflammation
Schultze, J. L., Mass, E., & Schlitzer, A. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.019 · Cited by 174
Unraveling Hematopoiesis through the Lens of Genomics
Liggett, L. A., & Sankaran, V. G. (2020) · Cell · doi:10.1016/j.cell.2020.08.030 · Cited by 163
Neutrophils in Physiology and Pathology
Aroca-Crevillén, A., Vicanolo, T., Ovadia, S., & Hidalgo, A. (2024) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-051222-015009 · Cited by 159
HOTTIP-dependent R-loop formation regulates CTCF boundary activity and TAD integrity in leukemia
Luo, H., Zhu, G., Eshelman, M. A., Fung, T. K., Lai, Q., Wang, F., Zeisig, B. B., Lesperance, J., Ma, X., Shi, C., et al. (2022) · Molecular Cell · doi:10.1016/j.molcel.2022.01.014 · Cited by 152
What Makes a pDC: Recent Advances in Understanding Plasmacytoid DC Development and Heterogeneity
Musumeci, A. G., Lutz, K., Winheim, E., & Krug, A. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01222 · Cited by 144
Long, H., Jia, Q., Wang, L., Fang, W., Wang, Z., Jiang, T., Zhou, F., Zheng, J., Huang, J., Zhou, L., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.04.018 · Cited by 138
The diverse roles of neutrophils from protection to pathogenesis
Herro, R., & Grimes, H. L. (2024) · Nature Immunology · doi:10.1038/s41590-024-02006-5 · Cited by 156
Hou, J., Chen, K.-X., He, C., Li, X., Huang, M., Jiang, Y., Jiao, Y., Xiao, Q.-N., He, W., Liu, L., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00694-0 · Cited by 143
Granulopoiesis and Neutrophil Homeostasis: A Metabolic, Daily Balancing Act
Yvan‐Charvet, L., & Ng, L. G. (2019) · Trends in Immunology · doi:10.1016/j.it.2019.05.004 · Cited by 137
Putative cell type discovery from single-cell gene expression data
Miao, Z., Moreno, P., Huang, N., Papatheodorou, I., Brazma, A., & Teichmann, S. A. (2020) · Nature Methods · doi:10.26226/morressier.5ebd45acffea6f735881af34 · Cited by 133
Giladi, A., Wagner, L. K., Li, H., Dörr, D., Medaglia, C., Paul, F., Shemer, A., Jung, S., Yona, S., Mack, M., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0661-1 · Cited by 130
Self-citationGullotta, G. S., Feo, D. D., Friebel, E., Semerano, A., Scotti, G. M., Bergamaschi, A., Butti, E., Brambilla, E., Genchi, A., Capotondo, A., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01505-1 · Cited by 124
Dong, F., Hao, S., Zhang, S., Zhu, C., Cheng, H., Yang, Z., Hamey, F. K., Wang, X., Gao, A., Wang, F., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0512-1 · Cited by 121
Yin, R., Chang, J.-W., Li, Y., Gao, Z., Qiu, Q., Wang, Q., Han, G., Chai, J., Feng, M., Wang, P., et al. (2021) · Cell stem cell · doi:10.1016/j.stem.2021.09.014 · Cited by 123
Human Dendritic Cell Subsets, Ontogeny, and Impact on HIV Infection
Rhodes, J. W., Tong, O., Harman, A. N., & Turville, S. G. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.01088 · Cited by 125
A CRISPR-Cas9 delivery system for in vivo screening of genes in the immune system
LaFleur, M. W., Nguyen, T. H., Coxe, M. A., Yates, K. B., Trombley, J. D., Weiss, S. A., Brown, F. D., Gillis, J. E., Coxe, D. J., Doench, J. G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09656-2 · Cited by 126
Grabert, K., Sehgal, A., Irvine, K. M., Wollscheid-Lengeling, E., Ozdemir, D. D., Stables, J., Luke, G. A., Ryan, M. D., Adamson, A., Humphreys, N. E., et al. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.2000835 · Cited by 114
Pathophysiological role of respiratory dysbiosis in hospital-acquired pneumonia
Roquilly, A., Torres, A., Villadangos, J. A., Netea, M. G., Dickson, R. P., Becher, B., & Asehnoune, K. (2019) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(19)30140-7 · Cited by 121
Zhou, W., Yui, M. A., Williams, B. A., Yun, J., Wold, B. J., Cai, L., & Rothenberg, E. V. (2019) · Cell Systems · doi:10.1016/j.cels.2019.09.008 · Cited by 101
The Role of Dendritic Cells During Infections Caused by Highly Prevalent Viruses
Soto, J. A., Gálvez, N. M. S., Andrade, C. A., Pacheco, G. A., Böhmwald, K., Berríos-Rojas, R. V., Bueno, S. M., & Kalergis, A. M. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01513 · Cited by 110
Yeo, G. H. T., Saksena, S. D., & Gifford, D. K. (2021) · Nature Communications · doi:10.1038/s41467-021-23518-w · Cited by 103
Monocyte Differentiation and Heterogeneity: Inter-Subset and Interindividual Differences
Williams, H., Mack, C. D., Baraz, R., Marimuthu, R., Naralashetty, S., Li, S., & Medbury, H. J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24108757 · Cited by 108
SanMiguel, J. M., Eudy, E., Loberg, M. A., Young, K. A., Mistry, J. J., Mujica, K. D., Schwartz, L. S., Stearns, T. M., Challen, G. A., & Trowbridge, J. J. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0086 · Cited by 95
Neutrophil diversity in inflammation and cancer
Carnevale, S., Ceglie, I. D., Grieco, G., Rigatelli, A., Bonavita, E., & Jaillon, S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1180810 · Cited by 96
Yao, R.-Q., Li, Z., Wang, L., Li, Y.-X., Zheng, L., Dong, N., Wu, Y., Xia, Z., Billiar, T. R., Ren, C., et al. (2022) · Theranostics · doi:10.7150/thno.72760 · Cited by 96
Two-Faced Roles of Tumor-Associated Neutrophils in Cancer Development and Progression
Mukaida, N., Sasaki, S., & Baba, T. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21103457 · Cited by 94
Li, Y., Kong, W., Yang, W., Patel, R. M., Casey, E. B., Okeyo-Owuor, T., White, J. M., Porter, S. N., Morris, S. A., & Magee, J. A. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.08.001 · Cited by 95
Moshe, N. B. B., Hen‐Avivi, S., Levitin, N., Yehezkel, D., Oosting, M., Joosten, L. A. B., Netea, M. G., & Avraham, R. (2019) · Nature Communications · doi:10.1038/s41467-019-11257-y · Cited by 88
Single-molecule imaging of transcription dynamics in somatic stem cells
Wheat, J. C., Sella, Y., Willcockson, M., Skoultchi, A. I., Bergman, A., Singer, R. H., & Steidl, U. (2020) · Nature · doi:10.1038/s41586-020-2432-4 · Cited by 88
Liu, X., Zhu, R., Luo, Y., Wang, S., Zhao, Y., Qiu, Z., Zhang, Y. X., Liu, X., Yao, X., Li, X., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.08.012 · Cited by 91
Origin and Heterogeneity of Tissue Myeloid Cells: A Focus on GMP-Derived Monocytes and Neutrophils
Ng, L. G., Liu, Z., Kwok, I., & Ginhoux, F. (2023) · Annual Review of Immunology · doi:10.1146/annurev-immunol-081022-113627 · Cited by 91
Self-citationNew insights into hematopoietic differentiation landscapes from single-cell RNA sequencing
Watcham, S., Kuciński, I., & Göttgens, B. (2019) · Blood · doi:10.1182/blood-2018-08-835355 · Cited by 86
Immunology in the Era of Single-Cell Technologies
Efremova, M., Vento‐Tormo, R., Park, J.-E., Teichmann, S. A., & James, K. R. (2020) · Annual Review of Immunology · doi:10.1146/annurev-immunol-090419-020340 · Cited by 80
Bellissimo, D. C., Chen, C.-H., Zhu, Q., Bagga, S., Lee, C.-T., He, B., Wertheim, G. B. W., Jordan, M. S., Tan, K., Worthen, G. S., et al. (2020) · Blood Advances · doi:10.1182/bloodadvances.2019000785 · Cited by 78
McClatchy, J., Strogantsev, R., Wolfe, E., Lin, H., Mohammadhosseini, M., Davis, B. A., Eden, C. O., Goldman, D., Fleming, W., Conley, P., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-43697-y · Cited by 86
Dysregulated hematopoiesis in bone marrow marks severe COVID-19
Wang, X., Wen, Y., Xie, X., Liu, Y., Tan, X., Cai, Q., Zhang, Y., Cheng, L., Xu, G., Zhang, S., et al. (2021) · Cell Discovery · doi:10.1038/s41421-021-00296-9 · Cited by 75
Self-citationSingle-cell sortChIC identifies hierarchical chromatin dynamics during hematopoiesis
Zeller, P. J., Yeung, J., Gaza, H. V., de Barbanson, B., Bhardwaj, V., Florescu, M., van der Linden, R., & van Oudenaarden, A. (2022) · Nature Genetics · doi:10.1038/s41588-022-01260-3 · Cited by 67
A metabolic perspective of the neutrophil life cycle: new avenues in immunometabolism
Thind, M. K., Uhlig, H. H., Glogauer, M., Palaniyar, N., Bourdon, C., Gwela, A., Lancioni, C., Berkley, J. A., Bandsma, R., & Farooqui, A. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1334205 · Cited by 78
Guillamot, M., Ouazia, D., Dolgalev, I., Yeung, S. T., Kourtis, N., Dai, Y., Corrigan, K., Zea-Redondo, L., Saraf, A., Florens, L. A., et al. (2019) · Nature Immunology · doi:10.1038/s41590-019-0454-6 · Cited by 70
Wu, Q., Tian, P., He, D., Jia, Z., He, Y., Luo, W., Lv, X., Wang, Y., Zhang, P., Liang, Y., et al. (2023) · Cell Research · doi:10.1038/s41422-023-00810-6 · Cited by 73
Single-Cell RNA Sequencing: Technological Progress and Biomedical Application in Cancer Research
Xu, C., Zheng, Y., & Xu, K. (2023) · Molecular Biotechnology · doi:10.1007/s12033-023-00777-0 · Cited by 79
The transcriptional and regulatory identity of erythropoietin producing cells
Kragesteen, B. K., Giladi, A., David, E., Halevi, S., Geirsdóttir, L., Lempke, O. M., Li, B., Bapst, A. M., Xie, K., Katzenelenbogen, Y., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02314-7 · Cited by 67
Self-citationPlasticity of monocyte development and monocyte fates
Trzebanski, S., & Jung, S. (2020) · Immunology Letters · doi:10.1016/j.imlet.2020.07.007 · Cited by 75
Huang, Y., Mouttet, B., Warnatz, H.-J., Risch, T., Rietmann, F., Frommelt, F., Ngo, Q. A., Dobay, M. P., Marovca, B., Jenni, S., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.10.004 · Cited by 63
Tong, J., Sun, T., Ma, S., Zhao, Y., Ju, M., Gao, Y., Zhu, P., Tan, P., Fu, R., Zhang, A., et al. (2021) · Cell stem cell · doi:10.1016/j.stem.2021.01.018 · Cited by 68
Malengier‐Devlies, B., Metzemaekers, M., Wouters, C. H., Proost, P., & Matthys, P. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.766620 · Cited by 64
Saunders, R. A., Allen, W. E., Pan, X., Sandhu, J., Lu, J., Lau, T. K., Smolyar, K., Sullivan, Z. A., Dulac, C. G., Weissman, J. S., et al. (2025) · Cell · doi:10.1016/j.cell.2025.05.022 · Cited by 82
Matzinger, M., Mayer, R. L., & Mechtler, K. (2023) · PROTEOMICS · doi:10.1002/pmic.202200162 · Cited by 58
Dissecting the early steps of MLL induced leukaemogenic transformation using a mouse model of AML
Basilico, S., Wang, X.-N., Kennedy, A., Tzelepis, K., Giotopoulos, G., Kinston, S., Quirós, P. M., Wong, K., Adams, D., Carnevalli, L. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15220-0 · Cited by 35
Higa, K. C., Goodspeed, A., Chavez, J. S., De Dominici, M., Danis, E., Zaberezhnyy, V., Rabe, J. L., Tenen, D. G., Pietras, E. M., & DeGregori, J. (2021) · Journal of Experimental Medicine · doi:10.1084/jem.20200560 · Cited by 57
Jorssen, J., Hulst, G. V., Mollers, K., Pujol, J., Petrellis, G., Baptista, A. P., Schetters, S. T. T., Baron, F., Caers, J., Lambrecht, B. N., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.04.027 · Cited by 63
Lopez, C. K., Noguera, E., Stavropoulou, V., Robert, E., Aid, Z., Ballerini, P. F., Bilhou‐Nabera, C., Lapillonne, H., Boudia, F., Thirant, C., et al. (2019) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-1463 · Cited by 59
The Source and Dynamics of Adult Hematopoiesis: Insights from Lineage Tracing
Pucella, J. N., Upadhaya, S., & Reizis, B. (2020) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-020520-114601 · Cited by 53
ATP citrate lyase controls hematopoietic stem cell fate and supports bone marrow regeneration
Umemoto, T., Johansson, A., Ahmad, S. A. I., Hashimoto, M., Kubota, S., Kikuchi, K., Odaka, H., Era, T., Kurotaki, D., Sashida, G., et al. (2022) · The EMBO Journal · doi:10.15252/embj.2021109463 · Cited by 54
A specialized bone marrow microenvironment for fetal haematopoiesis
Liu, Y., Chen, Q., Jeong, H., Koh, B. I., Watson, E. C., Xu, C., Stehling, M., Zhou, B., & Adams, R. H. (2022) · Nature Communications · doi:10.1038/s41467-022-28775-x · Cited by 53
Dynamics of human hematopoietic stem and progenitor cell differentiation to the erythroid lineage
Schippel, N., & Sharma, S. (2023) · Experimental Hematology · doi:10.1016/j.exphem.2023.05.001 · Cited by 57
Network Approaches for Dissecting the Immune System
Shi, H., Yan, K., Ding, L., Qian, C., Chi, H., & Yu, J. (2020) · iScience · doi:10.1016/j.isci.2020.101354 · Cited by 51
Dental niche cells directly contribute to tooth reconstitution and morphogenesis
Hu, H., Duan, Y., Wang, K., Fu, H., Liao, Y., Wang, T., Zhang, Z., Kang, F., Zhang, B., Zhang, H., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111737 · Cited by 49
Carrelha, J., Mazzi, S., Winroth, A., Hagemann-Jensen, M., Ziegenhain, C., Högstrand, K., Seki, M., Brennan, M. S., Lehander, M., Wu, B., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-01845-6 · Cited by 53
The complexity of neutrophils in health and disease: Focus on cancer
Carnevale, S., Ghasemi, S., Rigatelli, A., & Jaillon, S. (2020) · Seminars in Immunology · doi:10.1016/j.smim.2020.101409 · Cited by 50
Hall, T., Kim, H., Dabbah, M., Myers, J., Crawford, J. C., Morales‐Hernández, A., Caprio, C., Sriram, P., Kooienga, E., Derecka, M., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33092-4 · Cited by 49
An iron rheostat controls hematopoietic stem cell fate
Kao, Y.-R., Chen, J., Kumari, R., Ng, A. K. Y., Zintiridou, A., Tatiparthy, M., Ma, Y., Aivalioti, M. M., Moulik, D., Sundaravel, S., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.01.011 · Cited by 50
Zhang, Y., Wang, S., Zhang, J., Liu, C., Li, X., Guo, W., Duan, Y.-J., Chen, X., Zong, S.-Y., Zheng, J., et al. (2022) · Nature Cell Biology · doi:10.1038/s41556-021-00814-7 · Cited by 49
Hamey, F., & Göttgens, B. (2019) · Experimental Hematology · doi:10.1016/j.exphem.2019.08.009 · Cited by 48
Ding, P., Tan, Q., Wei, Z., Chen, Q., Wang, C., Qi, L., Wen, L., Zhang, C., & Yao, C. (2022) · Bone Research · doi:10.1038/s41413-022-00210-3 · Cited by 47
Dimensions of neutrophil life and fate
Hidalgo, A., & Casanova-Acebes, M. (2021) · Seminars in Immunology · doi:10.1016/j.smim.2021.101506 · Cited by 47
Kertser, A., Baruch, K., Deczkowska, A., Weiner, A., Croese, T., Kenigsbuch, M., Cooper, I., Tsoory, M., Ben-Hamo, S., Amit, I., et al. (2019) · Science Advances · doi:10.1126/sciadv.aav4111 · Cited by 48
Self-citationFukushima, T., Tanaka, Y., Hamey, F., Chang, C., Oki, T., Asada, S., Hayashi, Y., Fujino, T., Yonezawa, T., Takeda, R., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.061 · Cited by 45
High-resolution characterization of gene function using single-cell CRISPR tiling screen
Yang, L., Chan, A. K. N., Miyashita, K., Delaney, C. D., Wang, X., Li, H., Pokharel, S. P., Li, S., Li, M., Xu, X., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-24324-0 · Cited by 45
Tracing the evolutionary history of blood cells to the unicellular ancestor of animals
Nagahata, Y., Masuda, K., Nishimura, Y., Ikawa, T., Kawaoka, S., Kitawaki, T., Nannya, Y., Ogawa, S., Suga, H., Satou, Y., et al. (2022) · Blood · doi:10.1182/blood.2022016286 · Cited by 44
Metadata
- Authors
- Giladi, A., Paul, F., Herzog, Y., Lubling, Y., Weiner, A., Yofe, I., Jaitin, D., Cabezas-Wallscheid, N., Dress, R., Ginhoux, F., Trumpp, A., Tanay, A., & Amit, I.
- Affiliations
- Weizmann Institute of Science (IL)
- Agency for Science, Technology and Research (SG)
- German Cancer Research Center (DE)
- Corresponding author
- Tanay, Amos
- Amit, Ido
- ORCID
- Venue
- Nature Cell Biology
- Published
- 2018-06-18
- Volume
- 20
- Issue
- 7
- Pages
- 836-846
- ISSN
- 1465-7392 (ISSN-L)
- 1476-4679
- OpenAlex
- W2808039892
- Cited by
- 366
- References
- 71
- Citations by year
- 2026: 16 · 2025: 39 · 2024: 44 · 2023: 58 · 2022: 49 · 2021: 56 · 2020: 55 · 2019: 44 · 2018: 5
- FWCI
- 30.33
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- Nature Cell Biology (publishedVersion)
- PubMed (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Topics
- Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Keywords
- hematopoietic stem cells, hematopoietic progenitor cells, hematopoiesis, transcriptional states, bone marrow, differentiation trajectories, CEBPA, IRF8, PU.1, myeloid differentiation, monocyte differentiation, granulocytic differentiation, cytokines and growth factors, single-cell transcriptomics
- MeSH terms
- Filgrastim, Gene Editing, Interferon Regulatory Factor-8, Proto-Oncogene Protein Spi-1, Animals, Cells, Cultured, Erythropoietin, Female, Gene Expression Regulation, Genotype, Hematinics, Hematopoiesis, Hematopoietic Stem Cells, Homeostasis, Mice, Inbred C57BL, Phenotype, Proto-Oncogene Proteins, Recombinant Proteins, Time Factors, Trans-Activators, Cellular Senescence, Cell Lineage, Gene Expression Profiling, CCAAT-Enhancer-Binding Proteins, Cell Proliferation, Interferon Regulatory Factors, Single-Cell Analysis, Transcriptome, CRISPR-Cas Systems
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 ›
Are you an author, or do you see a problem with this page? Request a review