Epigenomic-Guided Mass Cytometry Profiling Reveals Disease-Specific Features of Exhausted CD8 T Cells
Bengsch, Bertram; Ohtani, Takuya; Khan, Omar; Setty, Manu; Manne, Sasikanth; O'Brien, Shaun; Gherardini, Pier Federico; Herati, Ramin Sedaghat; Huang, Alexander C.; Chang, Kyong Mi; Newell, Evan W.; Bovenschen, Niels; Pe'er, Dana; Albelda, Steven M.; Wherry, E. John
(2018) Immunity, volume 48, issue 5, pp. 1029 - 1045.e5
(Article)
Abstract
Exhausted CD8 T (Tex) cells are immunotherapy targets in chronic infection and cancer, but a comprehensive assessment of Tex cell diversity in human disease is lacking. Here, we developed a transcriptomic- and epigenetic-guided mass cytometry approach to define core exhaustion-specific genes and disease-induced changes in Tex cells in HIV and
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human cancer. Single-cell proteomic profiling identified 9 distinct Tex cell clusters using phenotypic, functional, transcription factor, and inhibitory receptor co-expression patterns. An exhaustion severity metric was developed and integrated with high-dimensional phenotypes to define Tex cell clusters that were present in healthy subjects, common across chronic infection and cancer or enriched in either disease, linked to disease severity, and changed with HIV therapy. Combinatorial patterns of immunotherapy targets on different Tex cell clusters were also defined. This approach and associated datasets present a resource for investigating human Tex cell biology, with implications for immune monitoring and immunomodulation in chronic infections, autoimmunity, and cancer. Exhausted T (Tex) cells have poor function in chronic infections and cancer but can be therapeutically re-invigorated. Bengsch et al. use genes modified epigenetically during exhaustion and high-dimensional CyTOF profiling to define Tex cell heterogeneity in humans with HIV or lung cancer and link Tex cell features to disease progression and response to immunotherapy.
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Keywords: cancer immunology, CD8 T cell, chronic infection, CyTOF, HIV, immune checkpoint, lung cancer, mass cytometry, systems immunology, T cell exhaustion, Immunology and Allergy, Immunology, Infectious Diseases
ISSN: 1074-7613
Publisher: Cell Press
Note: Funding Information: We thank D. Gudonis, M. Cummins, and the UPenn Center for AIDS Research (P30-AI-045008) for HIV patient samples, the UPenn Human Immunology Core for HC samples (P30-CA016520), the Corporal Michael J. Crescenz VA Medical Center Research Program for shared use of its CyTOF mass cytometer, the NIH tetramer core for HLA/peptide monomers, and H. Pircher for the KLRG1 antibody. B.B. was supported by the German Research Foundation (BE5496/1-1 and BE5496/1-2), O.K. by F30AI129263, A.C.H. by T32CA009615-26 and a Measey Research Fellowship, and S.O. by T32-CA009140. This work was partially supported by the Lung Cancer Immunobiology Translational Center of Excellence of the Abramson Cancer Center (S.O., S.M.A., and E.J.W.). This work was supported by grants from the NIH (AI105343, AI082630, AI112521, AI115712, AI117718, AI108545, and AI117950) and the Parker Institute for Cancer Immunotherapy to E.J.W. Funding Information: We thank D. Gudonis, M. Cummins, and the UPenn Center for AIDS Research (P30-AI-045008) for HIV patient samples, the UPenn Human Immunology Core for HC samples (P30-CA016520), the Corporal Michael J. Crescenz VA Medical Center Research Program for shared use of its CyTOF mass cytometer, the NIH tetramer core for HLA/peptide monomers, and H. Pircher for the KLRG1 antibody. B.B. was supported by the German Research Foundation ( BE5496/1-1 and BE5496/1-2 ), O.K. by F30AI129263 , A.C.H. by T32CA009615-26 and a Measey Research Fellowship, and S.O. by T32-CA009140 . This work was partially supported by the Lung Cancer Immunobiology Translational Center of Excellence of the Abramson Cancer Center (S.O., S.M.A., and E.J.W.). This work was supported by grants from the NIH ( AI105343 , AI082630 , AI112521 , AI115712 , AI117718 , AI108545 , and AI117950 ) and the Parker Institute for Cancer Immunotherapy to E.J.W. Publisher Copyright: © 2018 Elsevier Inc.
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