质量细胞仪
生物
仿形(计算机编程)
免疫系统
表观遗传学
CD8型
免疫学
表型
流式细胞术
计算生物学
基因
基因表达
遗传学
DNA甲基化
计算机科学
操作系统
作者
Bertram Bengsch,Takuya Ohtani,Omar Khan,Manu Setty,Sasikanth Manne,Shaun O’Brien,Pier Federico Gherardini,Ramin S. Herati,Alexander C. Huang,Kyong‐Mi Chang,Evan W. Newell,Niels Bovenschen,Dana Pe’er,Steven Μ. Albelda,E. John Wherry
出处
期刊:Immunity
[Elsevier]
日期:2018-05-01
卷期号:48 (5): 1029-1045.e5
被引量:303
标识
DOI:10.1016/j.immuni.2018.04.026
摘要
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 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.
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