Abstract
T cell specification and commitment require Notch signaling. Although the requirement for Notch signaling during intrathymic T cell development is known, it is still unclear whether the onset of T cell priming can occur in a prethymic niche and whether RBPJ-dependent Notch signaling has a role during this event. Here, we established an Rbpj-inducible system that allowed temporal and tissue-specific control of the responsiveness to Notch in all hematopoietic cells. Using this system, we found that Notch signaling was required before the early T cell progenitor stage in the thymus. Lymphoid-primed multipotent progenitors in the bone marrow underwent Notch signaling with Rbpj induction, which inhibited development towards the myeloid lineage in thymus-seeding progenitors. Thus, our results indicated that the onset of T cell differentiation occurred in a prethymic setting, and that Notch played an important role during this event.
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Data availability
The data that support the findings of this study are available from the corresponding author on request. Raw and processed RNA-Seq and single-cell RNA-Seq data are available from the Gene Expression Omnibus database under accession number GSE128964.
References
Takahama, Y. Journey through the thymus: stromal guides for T-cell development and selection. Nat. Rev. Immunol. 6, 127–135 (2006).
Petrie, H. T. & Zúñiga-Pflücker, J. C. Zoned out: functional mapping of stromal signaling microenvironments in the thymus. Annu. Rev. Immunol. 25, 649–679 (2007).
Hozumi, K. et al. Notch signaling is necessary for GATA3 function in the initiation of T cell development. Eur. J. Immunol. 38, 977–985 (2008).
Ikawa, T., Kawamoto, H., Goldrath, A. W. & Murre, C. E proteins and Notch signaling cooperate to promote T cell lineage specification and commitment. J. Exp. Med. 203, 1329–1342 (2006).
Ciofani, M., Knowles, G. C., Wiest, D. L., von Boehmer, H. & Zuniga-Pflucker, J. C. Stage-specific and differential Notch dependency at the αβ and γδ T lineage bifurcation. Immunity 25, 105–116 (2006).
Tanigaki, K. et al. Regulation of αβ/γδ T cell lineage commitment and peripheral T cell responses by Notch/RBP-J signaling. Immunity 20, 611–622 (2004).
Ciofani, M. & Zúñiga-Pflücker, J. C. Notch promotes survival of pre-T cells at the β-selection checkpoint by regulating cellular metabolism. Nat. Immunol. 6, 881–888 (2005).
Maillard, I. et al. The requirement for Notch signaling at the β-selection checkpoint in vivo is absolute and independent of the pre-T cell receptor. J. Exp. Med. 203, 2239–2245 (2006).
Robey, E. et al. An activated form of Notch influences the choice between CD4 and CD8 T cell lineages. Cell 87, 483–492 (1996).
Wilson, A., MacDonald, H. R. & Radtke, F. Notch 1-deficient common lymphoid precursors adopt a B cell fate in the thymus. J. Exp. Med. 194, 1003–1012 (2001).
Han, H. et al. Inducible gene knockout of transcription factor recombination signal binding protein-J reveals its essential role in T versus B lineage decision. Int. Immunol. 14, 637–645 (2002).
Pui, J. C. et al. Notch1 expression in early lymphopoiesis influences B versus T lineage determination. Immunity 11, 299–308 (1999).
Schwarz, B. A. & Bhandoola, A. Circulating hematopoietic progenitors with T lineage potential. Nat. Immunol. 5, 953–960 (2004).
Kondo, M., Weissman, I. L. & Akashi, K. Identification of clonogenic common lymphoid progenitors in mouse bone marrow. Cell 91, 661–672 (1997).
Porritt, H. E. et al. Heterogeneity among DN1 prothymocytes reveals multiple progenitors with different capacities to generate T cell and non-T cell lineages. Immunity 20, 735–745 (2004).
Perry, S. S. et al. L-selectin defines a bone marrow analog to the thymic early T-lineage progenitor. Blood 103, 2990–2996 (2004).
De Bellard, M. E., Ching, W., Gossler, A. & Bronner-Fraser, M. Disruption of segmental neural crest migration and ephrin expression in delta-1 null mice. Dev. Biol. 249, 121–130 (2002).
Gale, N. W. et al. Haploinsufficiency of delta-like 4 ligand results in embryonic lethality due to major defects in arterial and vascular development. Proc. Natl Acad. Sci. USA 101, 15949–15954 (2004).
Xue, Y. et al. Embryonic lethality and vascular defects in mice lacking the Notch ligand Jagged1. Hum. Mol. Genet. 8, 723–730 (1999).
Swiatek, P. J., Lindsell, C. E., del Amo, F. F., Weinmaster, G. & Gridley, T. Notch1 is essential for postimplantation development in mice. Genes Dev. 8, 707–719 (1994).
Tanaka, M., Kadokawa, Y., Hamada, Y. & Marunouchi, T. Notch2 expression negatively correlates with glial differentiation in the postnatal mouse brain. J. Neurobiol. 41, 524–539 (1999).
Oka, C. et al. Disruption of the mouse RBP-J κ gene results in early embryonic death. Development 121, 3291–3301 (1995).
Lu, F. M. & Lux, S. E. Constitutively active human Notch1 binds to the transcription factor CBF1 and stimulates transcription through a promoter containing a CBF1-responsive element. Proc. Natl Acad. Sci. USA 93, 5663–5667 (1996).
Stadtfeld, M. & Graf, T. Assessing the role of hematopoietic plasticity for endothelial and hepatocyte development by non-invasive lineage tracing. Development 132, 203–213 (2005).
Belteki, G. et al. Conditional and inducible transgene expression in mice through the combinatorial use of Cre-mediated recombination and tetracycline induction. Nucleic Acids Res. 33, e51 (2005).
Sambandam, A. et al. Notch signaling controls the generation and differentiation of early T lineage progenitors. Nat. Immunol. 6, 663–670 (2005).
Hamazaki, Y. Adult thymic epithelial cell (TEC) progenitors and TEC stem cells: models and mechanisms for TEC development and maintenance. Eur. J. Immunol. 45, 2985–2993 (2015).
Tanigaki, K. et al. Notch-RBP-J signaling is involved in cell fate determination of marginal zone B cells. Nat. Immunol. 3, 443–450 (2002).
Saito, T. et al. Notch2 is preferentially expressed in mature B cells and indispensable for marginal zone B lineage development. Immunity 18, 675–685 (2003).
Feyerabend, T. B. et al. Deletion of Notch1 converts pro-T cells to dendritic cells and promotes thymic B cells by cell-extrinsic and cell-intrinsic mechanisms. Immunity 30, 67–79 (2009).
De Obaldia, M. E. et al. T cell development requires constraint of the myeloid regulator C/EBP-α by the Notch target and transcriptional repressor Hes1. Nat. Immunol. 14, 1277–1284 (2013).
Weber, B. N. et al. A critical role for TCF-1 in T-lineage specification and differentiation. Nature 476, 63–68 (2011).
Yanez, A. et al. Granulocyte-monocyte progenitors and monocyte-dendritic cell progenitors independently produce functionally distinct monocytes. Immunity 47, 890–902.e4 (2017).
Paul, F. et al. Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell 163, 1663–1677 (2015).
Tripathi, S. et al. Meta- and orthogonal integration of influenza “OMICs” data defines a role for UBR4 in virus budding. Cell Host Microbe 18, 723–735 (2015).
Yu, V. W. et al. Specific bone cells produce DLL4 to generate thymus-seeding progenitors from bone marrow. J. Exp. Med. 212, 759–774 (2015).
Chen, Y. L. et al. A type I IFN–Flt3 ligand axis augments plasmacytoid dendritic cell development from common lymphoid progenitors. J. Exp. Med. 210, 2515–2522 (2013).
Inlay, M. A. et al. Ly6d marks the earliest stage of B-cell specification and identifies the branchpoint between B-cell and T-cell development. Genes Dev. 23, 2376–2381 (2009).
Sultana, D. A., Zhang, S. L., Todd, S. P. & Bhandoola, A. Expression of functional P-selectin glycoprotein ligand 1 on hematopoietic progenitors is developmentally regulated. J. Immunol. 188, 4385–4393 (2012).
Zlotoff, D. A. et al. CCR7 and CCR9 together recruit hematopoietic progenitors to the adult thymus. Blood 115, 1897–1905 (2010).
Lai, A. Y. & Kondo, M. Identification of a bone marrow precursor of the earliest thymocytes in adult mouse. Proc. Natl Acad. Sci. USA 104, 6311–6316 (2007).
Spooner, C. J., Cheng, J. X., Pujadas, E., Laslo, P. & Singh, H. A recurrent network involving the transcription factors PU.1 and Gfi1 orchestrates innate and adaptive immune cell fates. Immunity 31, 576–586 (2009).
Laslo, P. et al. Multilineage transcriptional priming and determination of alternate hematopoietic cell fates. Cell 126, 755–766 (2006).
Alder, J. K. et al. Kruppel-like factor 4 is essential for inflammatory monocyte differentiation in vivo. J. Immunol. 180, 5645–5652 (2008).
Mildner, A. et al. Genomic characterization of murine monocytes reveals C/EBPβ transcription factor dependence of Ly6C− cells. Immunity 46, 849–862.e7 (2017).
Friedman, A. D. C/EBPα induces PU.1 and interacts with AP-1 and NF-κB to regulate myeloid development. Blood Cells Mol. Dis. 39, 340–343 (2007).
Franco, C. B. et al. Notch/Delta signaling constrains reengineering of pro-T cells by PU.1. Proc. Natl Acad. Sci. USA 103, 11993–11998 (2006).
Rothenberg, E. V. & Scripture-Adams, D. D. Competition and collaboration: GATA-3, PU.1, and Notch signaling in early T-cell fate determination. Semin. Immunol. 20, 236–246 (2008).
Hosokawa, H. et al. Transcription factor PU.1 represses and activates gene expression in early T cells by redirecting partner transcription factor binding. Immunity 49, 782 (2018).
Zhu, Y. P. et al. Identification of an early unipotent neutrophil progenitor with pro-tumoral activity in mouse and human bone marrow. Cell Rep. 24, 2329–2341.e8 (2018).
Drissen, R. et al. Distinct myeloid progenitor–differentiation pathways identified through single-cell RNA sequencing. Nat. Immunol. 17, 666–676 (2016).
Schnell, F. J., Zoller, A. L., Patel, S. R., Williams, I. R. & Kersh, G. J. Early growth response gene 1 provides negative feedback to inhibit entry of progenitor cells into the thymus. J. Immunol. 176, 4740–4747 (2006).
Wen, X., Liu, H., Xiao, G. & Liu, X. Downregulation of the transcription factor KLF4 is required for the lineage commitment of T cells. Cell Res. 21, 1701–1710 (2011).
Tikhonova, A. N. et al. The bone marrow microenvironment at single-cell resolution. Nature 569, 222–228 (2019).
Wolfler, A. et al. Lineage-instructive function of C/EBPα in multipotent hematopoietic cells and early thymic precursors. Blood 116, 4116–4125 (2010).
Kawaichi, M., Oka, C., Reeves, R., Kinoshita, M. & Honjo, T. Recombination of exogenous interleukin 2 receptor gene flanked by immunoglobulin recombination signal sequences in a pre-B cell line and transgenic mice. J. Biol. Chem. 266, 18387–18394 (1991).
Matsunami, N. et al. A protein binding to the Jκ recombination sequence of immunoglobulin genes contains a sequence related to the integrase motif. Nature 342, 934–937 (1989).
Hu, Y. & Smyth, G. K. ELDA: extreme limiting dilution analysis for comparing depleted and enriched populations in stem cell and other assays. J. Immun. Methods 347, 70–78 (2009).
Law, C. W. et al. RNA-Seq analysis is easy as 1-2-3 with limma, Glimma and edgeR. F1000Res. 5, 1408 (2016).
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411–420 (2018).
Acknowledgements
We are grateful to G. Awong and C. McIntosh for expertise and assistance in flow cytometry and cell sorting, and to C. Lee and L. Wells for assistance with animal care. We are thankful to R. Dickson and T. McGaha for assistance with the single-cell RNA-Seq analysis, and M. K. Anderson for helpful discussions and critical review of the manuscript. This work was supported by grants from the Canadian Institutes of Health Research (MOP-119538 and FND-154332), National Institutes of Health (NIH-1P01AI102853-01) and Krembil Foundation. E.L.Y.C. was supported by an Ontario Graduate Scholarship. P.K.T. was supported by a Banting and Best Doctoral Research Award. J.C.Z.-P. is supported by a Canada Research Chair in Developmental Immunology.
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E.L.Y.C. and P.K.T. designed and performed the experiments, analyzed the data, and wrote the manuscript. J.C.Z.-P. designed the experiments, analyzed the data and wrote the manuscript.
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J.C.Z.-P. is a co-founder of Notch Therapeutics.
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Supplementary Figure 1 Generation of the RBPJind mouse and regulation of Notch responsiveness in vitro.
(a) Schematic of the RBPJind mouse in which in vivo expression of RBPJ-HA in hematopoietic cells, and thus Notch responsiveness, is dependent on Dox treatment. (b) Western blot analysis detecting HA in TetOS-RBPJ-HA tail fibroblasts that were either untransfected or rtTA transfected, and untreated, treated with Dox for 72 hours, or treated with Dox for 72 hours and Dox removed for 24 hours in vitro as indicated. The black horizontal lines denote cropping of the gels. (c) Flow cytometry analysis for T lineage and B lineage outcomes from RBPJCtr and RBPJind-noDox BM LSKs cultured on OP9-DL1 for 12 days in the presence (+ Dox) or absence (- Dox) of Dox, or for 8 days in the presence of Dox followed by 4 days in the absence of Dox (+ Dox - Dox) as indicated. (d) Flow cytometry analysis for T lineage outcomes from RBPJCtr and RBPJind-noDox BM LSKs cultured on OP9-DL4 or OP9 for 8 days in the presence (+ Dox) or absence (- Dox) of Dox as indicated. Data are representative of three independent experiments (n=3 mice per group).
Supplementary Figure 2 Maintenance of MZB cells requires Notch signaling in RBPJind mice.
(a) Flow cytometry analysis of the splenic phenotype of RBPJCtr-Dox, RBPJind-noDox, RBPJind-Dox6wk and RBPJind-Dox3wk-noDox3wk mice. Left to right: analysis of CD4 and CD8 αβ T cells, γδ T cells (DN gated) and marginal zone B cells (B220+IgM+ gated). DN gated: gated on CD4-CD8-. Data are representative of three independent experiments (n=3 mice per group). (b) Total splenic cellularity of RBPJCtr-Dox, RBPJind-noDox, RBPJind-Dox6wk and RBPJind-Dox3wk-noDox3wk mice showing mean + standard deviation (n=3 mice per group).
Supplementary Figure 3 Kinetics of DN2 differentiation from RBPJCtr ETPs and LMPPs.
(a) Flow cytometry analysis of DN2 kinetics of RBPJCtr thymic ETPs and BM LMPPs cultured on OP9-DL4 with Dox for 1, 2 and 3 days. (b) Flow cytometry analysis of kinetics of RBPJ-HA expression by RBPJind-Dox BM cells and thymocytes following 4, 8 and 24 hours of Dox treatment in mice. Cells from uninduced (RBPJind-noDox) mice and cells from induced (RBPJind-Dox) mice, but that were unstained or stained with secondary antibody only, served as negative controls. Data are representative of three independent experiments (n=2 mice pooled for each experiment in a and n=3 mice per group in b).
Supplementary Figure 4 Gating strategy and purity assessment for isolation of thymic DN1a/b cells.
Thymic DN1a/b cells are defined and were sorted as Lin-CD44+CD25-c-KithiCD24-/lo.
Supplementary Figure 5 RBPJind-noDox thymic DN1a/b cells display strong myeloid potential.
(a) Flow cytometry analysis for myeloid lineage and DC lineage outcomes of RBPJCtr, RBPJind-noDox and RBPJind-Dox6d thymic DN1a/b cells and BM LSKs cultured on OP9-DL1lo with Dox for 8 days. (b) Flow cytometry analysis for plasmacytoid DC (left), and lymphoid and myeloid DC (right) development from thymic DN1a/b cells and BM LSKs from RBPJCtr, RBPJind-noDox and RBPJind-Dox6d mice cultured on OP9-DL1lo with Dox for 8 days. Data are representative of three independent experiments (n=2 mice pooled for RBPJCtr and n=8 mice pooled for RBPJind-noDox and RBPJind-Dox6d for each experiment).
Supplementary Figure 6 Gating strategy for identification of BM progenitors and T lineage differentiation from previously Notch unresponsive LMPPs.
(a) HSCs are defined as Lin-Sca-1+c-Kit+Flt-3-, MPPs as Lin-Sca-1+c-Kit+Flt-3lo, LMPPs as Lin-Sca-1+c-Kit+Flt-3hi and CLPs as Lin-Sca-1loc-KitloFlt-3hiCD127+. (b) Flow cytometry analysis for T cell potential of RBPJCtr, RBPJind-noDox and RBPJind-Dox6d LMPPs cultured on OP9-DL4 with Dox for 8 days, and B cell potential of RBPJCtr, RBPJind-noDox and RBPJind-Dox6d LMPPs cultured on OP9 for 14 days. (c) Flow cytometry analysis for DN2 development from RBPJCtr, RBPJind-noDox and RBPJind-Dox6d LMPPs and CLPs cultured on OP9-DL4 with Dox for 3 days. Data are representative of three independent experiments (n=2 mice pooled for each group for each experiment in b and n=3 mice pooled for each group for each experiment in c).
Supplementary Figure 7 Limiting dilution analysis of T cell potential from RBPJind BM progenitors.
(a) Representative flow plots of DN2/DN3 positive single-cell wells from BM CD62L+ LMPPs and CLPs from RBPJCtr and RBPJind-noDox mice. Cells were placed on OP9-DL4 with Dox and analyzed 10 days after. (b) Calculation of the T cell progenitor frequency (with the 95% upper and lower confidence limit) in BM CD62L+ LMPPs and CLPs from RBPJCtr and RBPJind-noDox mice. Data are from one independent experiment (n=2 mice pooled for each group).
Supplementary Figure 8 BM LMPP subsets expressing thymus-homing genes undergo Notch signaling.
(a) Dot plot analysis of Hes1 expression in total LMPPs, Sell+ LMPPs, Selplg+ LMPPs, Ccr9+ LMPPs and Ccr7+ LMPPs from RBPJCtr mice (n=2614, 1038, 1727, 158 and 100 cells, respectively), RBPJind-noDox mice (n=2729, 760, 1541, 160 and 68 cells, respectively), RBPJind-Dox3d mice (n=1268, 412, 749, 63 and 38 cells, respectively) and RBPJind-Dox6d mice (n=2074, 708, 1280, 159 and 78 cells, respectively). For Hes1 gene expression fold-change values, see Supplementary Table 11. (b) t-SNE analysis showing cluster location of Sell+Selplg+Ccr9+Ccr7+ LMPPs from RBPJCtr mice (n=4 cells), RBPJind-Dox3d mice (n=2 cells) and RBPJind-Dox6d mice (n=4 cells). Data are from one independent experiment (n=3 mice pooled for each group).
Supplementary information
Supplementary Information
Supplementary Figs. 1–8.
Supplementary Table 1
Comparison of the genes enriched in RBPJCtr and RBPJind-noDox thymic DN1a/b cells.
Supplementary Table 2
Comparison of the genes enriched in RBPJCtr and RBPJind-Dox6d thymic DN1a/b cells.
Supplementary Table 3
Comparison of the genes enriched in RBPJind-noDox and RBPJind-Dox6d thymic DN1a/b cells.
Supplementary Table 4
Comparison of the biological pathways involving genes enriched in RBPJCtr and RBPJind-noDox thymic DN1a/b cells.
Supplementary Table 5
Genes enriched in BM LMPP cluster 3.
Supplementary Table 6
Genes enriched in BM LMPP cluster 4.
Supplementary Table 7
Genes enriched in BM LMPP cluster 5.
Supplementary Table 8
Genes enriched in BM LMPP cluster 6.
Supplementary Table 9
Genes enriched in BM LMPP cluster 7.
Supplementary Table 10
Genes enriched in BM LMPP cluster 8.
Supplementary Table 11
Hes1 expression in RBPJCtr, RBPJind-noDox and RBPJind-Dox6d BM LMPP subsets.
Supplementary Table 12
Cluster 5 distribution of RBPJCtr, RBPJind-noDox and RBPJind-Dox6d Sell+Selplg+Ccr9+ BM LMPPs.
Supplementary Table 13
Comparison of the genes enriched in RBPJCtr and RBPJind-noDox Sell+Selplg+Ccr9+ BM LMPPs.
Supplementary Table 14
Comparison of the genes enriched in RBPJCtr and RBPJind-Dox6d Sell+Selplg+Ccr9+ BM LMPPs.
Supplementary Table 15
Comparison of the genes enriched in RBPJind-noDox and RBPJind-Dox6d Sell+Selplg+Ccr9+ BM LMPPs.
Supplementary Table 16
Comparison of the biological pathways involving genes enriched in RBPJCtr and RBPJind-noDox Sell+Selplg+Ccr9+ BM LMPPs.
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Chen, E.L.Y., Thompson, P.K. & Zúñiga-Pflücker, J.C. RBPJ-dependent Notch signaling initiates the T cell program in a subset of thymus-seeding progenitors. Nat Immunol 20, 1456–1468 (2019). https://doi.org/10.1038/s41590-019-0518-7
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DOI: https://doi.org/10.1038/s41590-019-0518-7
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