Abstract
Unprimed mice harbor a substantial population of ‘memory-phenotype’ CD8+ T cells (CD8-MP cells) that exhibit hallmarks of activation and innate-like functional properties. Due to the lack of faithful markers to distinguish CD8-MP cells from bona fide CD8+ memory T cells, the developmental origins and antigen specificities of CD8-MP cells remain incompletely defined. Using deep T cell antigen receptor (TCR) sequencing, we found that the TCRs expressed by CD8-MP cells are highly recurrent and distinct from the TCRs expressed by naive-phenotype CD8+ T cells. CD8-MP clones exhibited reactivity to widely expressed self-ligands. T cell precursors expressing CD8-MP TCRs showed upregulation of the transcription factor Eomes during maturation in the thymus, prior to induction of the full memory phenotype, which is suggestive of a unique program triggered by recognition of self-ligands. Moreover, CD8-MP cells infiltrate oncogene-driven prostate tumors and express high densities of PD-1, which suggests potential roles in antitumor immunity and the response to immunotherapy.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout






Similar content being viewed by others
Data availability
The data that support the findings of this study are available from the corresponding author upon request. The TCR sequence data are available at the Gene Expression Omnibus (GEO) repository under accession number GSE145365. The script used for TCR sequence analysis is available at https://github.com/soccin/MILLER_SAVAGE_CD8MP.
References
White, J. T., Cross, E. W. & Kedl, R. M. Antigen-inexperienced memory CD8+ T cells: where they come from and why we need them. Nat. Rev. Immunol. 17, 391–400 (2017).
Haluszczak, C. et al. The antigen-specific CD8+ T cell repertoire in unimmunized mice includes memory phenotype cells bearing markers of homeostatic expansion. J. Exp. Med. 206, 435–448 (2009).
Jameson, S. C., Lee, Y. J. & Hogquist, K. A. Innate memory T cells. Adv. Immunol. 126, 173–213 (2015).
Jacomet, F. et al. Evidence for Eomesodermin-expressing innate-like CD8+ KIR/NKG2A+ T cells in human adults and cord blood samples. Eur. J. Immunol. 45, 1926–1933 (2015).
Warren, H. S. et al. CD8 T cells expressing killer Ig-like receptors and NKG2A are present in cord blood and express a more naive phenotype than their counterparts in adult blood. J. Leukoc. Biol. 79, 1252–1259 (2006).
White, J. T. et al. Virtual memory T cells develop and mediate bystander protective immunity in an IL-15-dependent manner. Nat. Commun. 7, 11291 (2016).
Lee, J. Y., Hamilton, S. E., Akue, A. D., Hogquist, K. A. & Jameson, S. C. Virtual memory CD8 T cells display unique functional properties. Proc. Natl Acad. Sci. USA 110, 13498–13503 (2013).
Rifa’i, M., Kawamoto, Y., Nakashima, I. & Suzuki, H. Essential roles of CD8+CD122+ regulatory T cells in the maintenance of T cell homeostasis. J. Exp. Med. 200, 1123–1134 (2004).
Azzam, H. S. et al. CD5 expression is developmentally regulated by T cell receptor (TCR) signals and TCR avidity. J. Exp. Med. 188, 2301–2311 (1998).
Persaud, S. P., Parker, C. R., Lo, W. L., Weber, K. S. & Allen, P. M. Intrinsic CD4+ T cell sensitivity and response to a pathogen are set and sustained by avidity for thymic and peripheral complexes of self peptide and MHC. Nat. Immunol. 15, 266–274 (2014).
Wong, P., Barton, G. M., Forbush, K. A. & Rudensky, A. Y. Dynamic tuning of T cell reactivity by self-peptide-major histocompatibility complex ligands. J. Exp. Med. 193, 1179–1187 (2001).
Akue, A. D., Lee, J. Y. & Jameson, S. C. Derivation and maintenance of virtual memory CD8 T cells. J. Immunol. 188, 2516–2523 (2012).
Drobek, A et al. Strong homeostatic TCR signals induce formation of self-tolerant virtual memory CD8 T cells. EMBO J. 37, e98518 (2018).
Malchow, S. et al. Aire enforces immune tolerance by directing autoreactive T cells into the regulatory T cell lineage. Immunity 44, 1102–1113 (2016).
Malchow, S. et al. Aire-dependent thymic development of tumor-associated regulatory T cells. Science 339, 1219–1224 (2013).
Lee, Y. J., Holzapfel, K. L., Zhu, J., Jameson, S. C. & Hogquist, K. A. Steady-state production of IL-4 modulates immunity in mouse strains and is determined by lineage diversity of iNKT cells. Nat. Immunol. 14, 1146–1154 (2013).
Leventhal, D. S. et al. Dendritic cells coordinate the development and homeostasis of organ-specific regulatory T cells. Immunity 44, 847–859 (2016).
McDonald, B. D., Bunker, J. J., Ishizuka, I. E., Jabri, B. & Bendelac, A. Elevated T cell receptor signaling identifies a thymic precursor to the TCRαβ+CD4–CD8β– intraepithelial lymphocyte lineage. Immunity 41, 219–229 (2014).
Turner, V. M., Gardam, S. & Brink, R. Lineage-specific transgene expression in hematopoietic cells using a Cre-regulated retroviral vector. J. Immunol. Methods. 360, 162–166 (2010).
Yu, W. et al. Continued RAG expression in late stages of B cell development and no apparent re-induction after immunization. Nature 400, 682–687 (1999).
Owen, D. L. et al. Thymic regulatory T cells arise via two distinct developmental programs. Nat. Immunol. 20, 195–205 (2019).
Hogquist, K. A. Assays of thymic selection. Fetal thymus organ culture and in vitro thymocyte dulling assay. Methods Mol. Biol. 156, 219–232 (2001).
Sosinowski, T. et al. CD8α+ dendritic cell trans presentation of IL-15 to naive CD8+ T cells produces antigen-inexperienced T cells in the periphery with memory phenotype and function. J. Immunol. 190, 1936–1947 (2013).
Intlekofer, A. M. et al. Effector and memory CD8+ T cell fate coupled by T-bet and Eomesodermin. Nat. Immunol. 6, 1236–1244 (2005).
Bautista, J. L. et al. Intraclonal competition limits the fate determination of regulatory T cells in the thymus. Nat. Immunol. 10, 610–617 (2009).
Leung, M. W., Shen, S. & Lafaille, J. J. TCR-dependent differentiation of thymic Foxp3+ cells is limited to small clonal sizes. J. Exp. Med. 206, 2121–2130 (2009).
Xing, Y., Wang, X., Jameson, S. C. & Hogquist, K. A. Late stages of T cell maturation in the thymus involve NF-κB and tonic type I interferon signaling. Nat. Immunol. 17, 565–573 (2016).
Daussy, C. et al. T-bet and Eomes instruct the development of two distinct natural killer cell lineages in the liver and in the bone marrow. J. Exp. Med. 211, 563–577 (2014).
Greenberg, N. M. et al. Prostate cancer in a transgenic mouse. Proc. Natl Acad. Sci. USA 92, 3439–3443 (1995).
Burchill, M. A. et al. Linked T cell receptor and cytokine signaling govern the development of the regulatory T cell repertoire. Immunity 28, 112–121 (2008).
Lio, C. W. & Hsieh, C. S. A two-step process for thymic regulatory T cell development. Immunity 28, 100–111 (2008).
Garcia, K. C. & Adams, E. J. How the T cell receptor sees antigen–a structural view. Cell 122, 333–336 (2005).
Sprent, J. & Surh, C. D. Normal T cell homeostasis: the conversion of naive cells into memory-phenotype cells. Nat. Immunol. 12, 478–484 (2011).
Li, H. et al. Dysfunctional CD8 T cells form a proliferative, dynamically regulated compartment within human melanoma. Cell 176, 775–789.e18 (2019).
Savas, P. et al. Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis. Nat. Med. 24, 986–993 (2018).
Gide, T. N. et al. Distinct immune cell populations define response to anti-PD-1 monotherapy and anti-PD-1/anti-CTLA-4 combined therapy. Cancer Cell 35, 238–255.e6 (2019).
Guo, X. et al. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing. Nat. Med. 24, 978–985 (2018).
Zheng, C. et al. Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing. Cell 169, 1342–1356.e16 (2017).
Simoni, Y. et al. Bystander CD8+ T cells are abundant and phenotypically distinct in human tumour infiltrates. Nature 557, 575–579 (2018).
Scheper, W. et al. Low and variable tumor reactivity of the intratumoral TCR repertoire in human cancers. Nat. Med. 25, 89–94 (2019).
Magurran, A. E. Ecological Diversity and Its Measurement (Princeton University Press, 1988).
Morita, S., Kojima, T. & Kitamura, T. Plat-E: an efficient and stable system for transient packaging of retroviruses. Gene Ther. 7, 1063–1066 (2000).
Aschenbrenner, K. et al. Selection of Foxp3+ regulatory T cells specific for self antigen expressed and presented by Aire+ medullary thymic epithelial cells. Nat. Immunol. 8, 351–358 (2007).
Acknowledgements
We thank A. Bendelac for critical reading of the manuscript. We thank S. Kasal, A. Bendelac, V. Leone, E. Chang, Z. Earley, B. Jabri, E. Hegermiller and B. Kee for sharing reagents and resources. We thank M. Nussenzweig at Rockefeller University for Rag2-GFP mice. We thank T. Walzer at Inserm for Eomes-GFP mice. Flow cytometry and FACS were performed at the University of Chicago Cytometry and Antibody Technology Facility. This work was funded by R01-AI110507 (to P.A.S.). C.H.M. was supported by a National Institutes of Health/National Cancer Institute F30 predoctoral fellowship (F30-CA236061). V.L. was supported by a National Institutes of Health/National Cancer Institute F30 predoctoral fellowship (F30-CA217109). C.H.M and V.L. were supported by the Univeristy of Chicago Medical Scientist Training Program (T32-GM007281). D.K. was supported by T32-AI007090.
Author information
Authors and Affiliations
Contributions
C.H.M. designed the study, performed experiments, interpreted data and wrote the manuscript; D.E.J.K. performed experiments; S.Z. performed computational and statistical analysis of TCR sequence data; V.L. performed experiments and provided technical and conceptual advice; N.D.S. performed computational and statistical analysis of TCR sequence data; P.A.S. designed the study, interpreted data and wrote the manuscript. All authors contributed to discussion.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Peer review information L. A. Dempsey was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 The frequency of CD8-MP cells is not diminished in germ-free mice.
a, Representative flow-cytometric analysis of CD44 vs. CD122 expression by CD8β+ T cells from the spleens of 16-week-old B6 specific pathogen free (SPF) and germ-free (GF) mice. The percentage of cells falling in the indicated gates is denoted. Data are representative of two independent experiments. b, Summary plot of the frequency of CD44hiCD122+ expressing TCRβ+ CD8β+ T cells from the indicated lymphoid sites in 6 to 16-week-old SPF or GF mice. iabLN: inguinal, axial, brachial lymph nodes; cLN: cervical lymph nodes; mLN: mesenteric lymph nodes; pLN: periaortic lymph nodes. Each symbol represents an individual mouse. Mean ± SEM is indicated. n = 6, Spleen, iabLN, cLN, mLN; n = 3, pLN. At each lymphoid site, the frequency of CD8-MP cells was compared between the SPF and GF mice using one-way ANOVA with Bonferroni post-test analysis, comparing all pairs of columns (ANOVA p < 0.0001, F = 17.43, df = 53). Adjusted p-values from the Bonferroni post-test are depicted: Spleen, *p = 0.0133; iabLN, n.s. p = 0.3669; cLN, n.s. p > 0.9999; mLN, n.s. p > 0.9999; pLN, n.s. p > 0.9999. Data are pooled from two independent experiments. (n.s., not significant).
Extended Data Fig. 2 CD8-MP and CD8-Naive CDR3α chain hydrophobicity and length analysis.
CD8-MP (CD8β+ CD44hiCD122+) and CD8-Naive (CD8β+ CD44loCD122–) T cells were purified by FACS from the pooled spleen and lymph nodes of 9-week-old TCRβtg males and subjected to complete TCRα sequencing using the iRepertoire platform. N = 5 for CD8-MP and CD8-Naive samples. TCRα chains were assessed solely based on their predicted CDR3 segment, regardless of V-region usage. a, Histograms depicting grand average of hydropathy (GRAVY) values for CDR3 regions of the CD8-MP (red) and CD8-Naive (black) subsets for each mouse, n = 5 mice. Significance testing was performed with the paired, two-tailed Wilcoxon signed-rank test (W) and the paired, two-tailed Kolmolgorov-Smirnov test (K-S). Mouse 1 (CD8-MP CDR3 n = 11999, CD8-Naive CDR3 n = 29048), p = 0.2449 (W) and p = 1 (K-S); Mouse 2 (CD8-MP CDR3 n = 3327, CD8-Naive CDR3 n = 14736), p = 0.0511 (W) and p = 1 (K-S); Mouse 3 (CD8-MP CDR3 n = 2159, CD8-Naive CDR3 n = 26649), **p = 0.0017 (W) and p = 1 (K-S); Mouse 4 (CD8-MP CDR3 n = 2848, CD8-Naive CDR3 n = 24501), ***p < 0.0001 (W) and p = 1 (K-S); Mouse 5 (CD8-MP CDR3 n = 13524, CD8-Naive CDR3 n = 25367), **p = 0.0010 (W) and p = 1 (K-S). (n.s. not significant). b, Histograms depicting CDR3 lengths of the CD8-MP (red) and CD8-Naive (black) subsets for each mouse, n = 5 mice. Significance testing was performed with the paired, two-tailed Wilcoxon signed-rank test (W) and the paired, two-tailed Kolmolgorov-Smirnov test (K-S). Mouse 1 (CD8-MP CDR3 n = 11999, CD8-Naive CDR3 n = 29048), p = 0.2031 (W) and p = 1 (K-S); Mouse 2 (CD8-MP CDR3 n = 3327, CD8-Naive CDR3 n = 14736), p = 0.2031 (W) and p = 1 (K-S); Mouse 3 (CD8-MP CDR3 n = 2159, CD8-Naive CDR3 n = 26649), p = 0.4258 (W) and p = 1 (K-S); Mouse 4 (CD8-MP CDR3 n = 2848, CD8-Naive CDR3 n = 24501), p = 1 (W) and p = 1 (K-S); Mouse 5 (CD8-MP CDR3 n = 13524, CD8-Naive CDR3 n = 25367), p = 0.9102 (W) and p = 1 (K-S). (n.s. not significant).
Extended Data Fig. 3 Phenotype of TCRrg and filler CD8+ T cell populations.
(Top) Representative flow cytometric analysis of Thy1.1 vs. CD45.1 expression by TCRβ + CD8β+ cells from the spleens of indicated TCRrg mice. The percentage of cells falling in the indicated gates is denoted. (Bottom) Representative flow cytometric analysis of CD44 vs. CD122 expression by Thy1.1+ TCRrg or CD45.+ “filler” TCRβ+ CD8β+ cells from the spleens of indicated TCRrg mice. The percentage of cells falling in the indicated gates is denoted. Data are representative of six independent experiments.
Extended Data Fig. 4 A greater fraction of CD8-MP TCRrg cells adopt the CD44hiCD122+ phenotype at lower clonal frequencies.
(Top) Representative flow cytometric analysis of Thy1.1 vs. CD45.1 expression by TCRβ+ CD8+ cells and (Bottom) CD44 vs. CD122 expression by TCRβ+ CD8+ Thy1.1+ cells from “low frequency” TCRrg mice expressing the indicated TCRs, assessed 7 weeks after bone marrow reconstitution. It should be noted that the expression of the Thy1.1 reporter varies in different TCRrg mice, but the expression of TCRβ is uniform and comparable to that of endogenous cells (not shown). The percentage of cells falling in the indicated gates is denoted. Data are representative of four independent experiments.
Extended Data Fig. 5 CD8-MP TCRrg cells are broadly distributed across lymphoid sites.
Summary plots of the frequency of Thy1.1 expressing TCRrg cells of TCRβ+ CD8β+ T cells, normalized to the spleen from the indicated lymphoid sites 6–7 weeks after bone marrow reconstitution of the indicated “low frequency” TCRrg mice. Frequencies at different lymphoid sites were normalized to the spleen to control for varying engraftment of TCRrg bone marrow across different mice. iabLN: inguinal, axial, brachial lymph nodes; cLN: cervical lymph nodes; mLN: mesenteric lymph nodes; pLN: periaortic lymph nodes. Each symbol represents an individual TCRrg mouse. n = 3, GSSrg; n = 4, DTGrg; n = 4, SAVrg; n = 3, SATrg; n = 4, SMNrg; n = 3, RDTrg; n = 4, LNNrg; n = 4, DYQrg. Mean ± SEM is indicated. Data is pooled from four independent experiments.
Extended Data Fig. 6 Thymocytes expressing CD8-MP-skewed TCRs exhibit hallmarks of elevated TCR signaling.
a, Left: Representative flow cytometric analysis of CD73 expression by TCRβ+ CD8SP thymocytes from a 7-week-old Rag2-GFP mouse. Right: Expression of Rag2-GFP on the CD73– and CD73+ CD8SP thymocyte populations. The percentage of cells falling in the indicated gates is denoted. Data are representative of two independent experiments. b, Representative flow-cytometric analysis of CD44 and CD122 expression by indicated CD73– TCRβ+ Thy1.1+ CD8SP CD8-MP TCRrg thymocytes 6 weeks after bone marrow reconstitution. The percentage of cells falling in the indicated gates is denoted. Data are representative of five independent experiments. c, Representative flow cytometric analysis of Ki67 expression by TCRβ+ CD8β+ Thy1.1+ cells from the thymi of TCRrg mice expressing the indicated CD8-MP TCRs (top) and CD8-Naive TCRs (bottom), analyzed 6 weeks after bone marrow reconstitution. The percentage of cells in the indicated gates is denoted. Data are representative of five independent experiments. d, Left: Summary plot of pooled data from (c) showing the frequency of TCRβ+ CD8β+ Thy1.1+ cells that are positive for Ki67 staining for the listed T cell clone. Right: Data from the left panel were pooled from the CD8-MP TCRs and the CD8-Naive TCRs. Each symbol represents an individual TCRrg mouse. n = 11, CD8-MP TCRrg mice; n = 10, CD8-Naive TCRrg mice. Mean ± SEM is indicated. **p = 0.0017, two-tailed nonparametric Mann–Whitney test. Data are pooled from five independent experiments. e, Representative flow cytometric analysis of CD5 expression by TCRβ+ CD8β+ Thy1.1+ cells from the thymi of TCRrg mice expressing the indicated CD8-MP and CD8-Naive TCRs, analyzed 6 weeks after bone marrow reconstitution. The percentage of cells in the indicated gates is denoted. Data are representative of six independent experiments. f, Left: Summary plot of pooled data from (e) showing the normalized mean florescence intensity (MFI) of CD5 in TCRrg thymocytes compared to CD8SP thymocytes from a B6 thymus. Right: Data from the left panel were pooled from the CD8-MP TCRs and the CD8-Naive TCRs. Each symbol represents an individual TCRrg mouse. n = 13, CD8-MP TCRrg mice; n = 12, CD8-Naive TCRrg mice. Mean ± SEM is indicated. ***p < 0.0001, two-tailed nonparametric Mann–Whitney test. Data are pooled from six independent experiments. g, Representative flow cytometric analysis of CD4 vs. CD8, PD-1 vs. CD69, and cleaved Caspase3 expression by TCRβ+ CD8β+ Thy1.1+ cells from the thymi of TCRrg mice expressing the indicated CD8-MP TCRs and CD8-Naive TCRs, analyzed 6 weeks after bone marrow reconstitution. The percentage of cells in the indicated gates is denoted. Data are representative of three independent experiments.
Extended Data Fig. 7 Gating strategy to analyze TCRrg cells.
Lymphocytes were gated on forward and side scatter and doublets were removed by gating on FSC-H by FSC-A. TCRβ+ T cells were then gated for the expression of CD8β+ and CD4–. CD8β+ T cells were then gated for the expression of Thy1.1. This TCRrg cell population was used for subsequent phenotyping stains used throughout the paper. The percentage of cells in the indicated gates is denoted. Data are representative of six independent experiments.
Supplementary information
Supplementary Table 1
Complete TCRα sequencing frequency table.
Supplementary Table
Supplementary Table 2.
Rights and permissions
About this article
Cite this article
Miller, C.H., Klawon, D.E.J., Zeng, S. et al. Eomes identifies thymic precursors of self-specific memory-phenotype CD8+ T cells. Nat Immunol 21, 567–577 (2020). https://doi.org/10.1038/s41590-020-0653-1
Received:
Accepted:
Published:
Issue date:
DOI: https://doi.org/10.1038/s41590-020-0653-1
This article is cited by
-
FLT3L-induced virtual memory CD8 T cells engage the immune system against tumors
Journal of Biomedical Science (2024)
-
BRWD1 orchestrates small pre-B cell chromatin topology by converting static to dynamic cohesin
Nature Immunology (2024)
-
The immunology of systemic lupus erythematosus
Nature Immunology (2024)
-
Epigenetics behind CD8+ T cell activation and exhaustion
Genes & Immunity (2024)
-
The endogenous repertoire harbors self-reactive CD4+ T cell clones that adopt a follicular helper T cell-like phenotype at steady state
Nature Immunology (2023)