Journal
NATURE IMMUNOLOGY
Volume 23, Issue 11, Pages 1614-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41590-022-01337-5
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Funding
- National Institutes of Health (NIH) [K08CA230188, U01CA260852, RM1-HG007735, R01AI130152, R21AI161040]
- Career Award for Medical Scientists from the Burroughs Wellcome Fund
- Lloyd J. Old STAR Award from the Cancer Research Institute
- American Society of Hematology
- Parker Institute for Cancer Immunotherapy
- Pew-Stewart Scholars for Cancer Research Award
- Baxter Foundation Faculty Scholar Award
- Leukemia and Lymphoma Society Scholar Award
- Scleroderma Research Foundation
- National Science Foundation Graduate Research Fellowship Program [NSF DGE-1656518]
- Stanford Graduate Fellowship
- NCI Predoctoral to Postdoctoral Fellow Transition Award [NIH F99CA253729]
- Stanford School of Medicine Propel Postdoctoral Scholarship
- National Science Foundation Graduate Research Fellowship [DGE-1656518]
- NIH training grant through the Stanford Immunology Program [5T32AI007290-38]
- NIH training grant [T32CA009547]
- Cancer Research Institute-Mark Foundation Fellowship [T32CA009140]
- Stanford Innovative Medicines Accelerator (IMA)
- NIH [S10OD018220, 1S10OD021763]
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In this study, the authors generate a single-cell multiomic atlas of T cell exhaustion in chronic viral infection, revealing molecular programs and clonal differentiation trajectories of exhausted T cell subsets. The results show that T cell receptor signal strength is a driver of clonal fate in T cell exhaustion.
Chronic antigen exposure during viral infection or cancer promotes an exhausted T cell (Tex) state with reduced effector function. However, whether all antigen-specific T cell clones follow the same Tex differentiation trajectory remains unclear. Here, we generate a single-cell multiomic atlas of T cell exhaustion in murine chronic viral infection that redefines Tex phenotypic diversity, including two late-stage Tex subsets with either a terminal exhaustion (Tex(term)) or a killer cell lectin-like receptor-expressing cytotoxic (Tex(KLR)) phenotype. We use paired single-cell RNA and T cell receptor sequencing to uncover clonal differentiation trajectories of Tex(term)-biased, Tex(KLR)-biased or divergent clones that acquire both phenotypes. We show that high T cell receptor signaling avidity correlates with Tex(term), whereas low avidity correlates with effector-like Tex(KLR) fate. Finally, we identify similar clonal differentiation trajectories in human tumor-infiltrating lymphocytes. These findings reveal clonal heterogeneity in the T cell response to chronic antigen that influences Tex fates and persistence. Daniel, Yost, Hsiung, et al. generate a single-cell multiomic atlas of T cell exhaustion in chronic viral infection, which reveals molecular programs of exhausted T cell subsets, identifies divergent clonal exhausted T cell differentiation trajectories and nominates TCR signal strength as a driver of clonal fate.
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