1. In-depth analysis of human virus-specific CD8+ T cells delineates unique phenotypic signatures for T cell specificity prediction
- Author
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Florian Schmidt, Hannah F. Fields, Yovita Purwanti, Ana Milojkovic, Syazwani Salim, Kan Xing Wu, Yannick Simoni, Antonella Vitiello, Daniel T. MacLeod, Alessandra Nardin, Evan W. Newell, Katja Fink, Andreas Wilm, and Michael Fehlings
- Subjects
CP: Immunology ,Biology (General) ,QH301-705.5 - Abstract
Summary: Following viral infection, the human immune system generates CD8+ T cell responses to virus antigens that differ in specificity, abundance, and phenotype. A characterization of virus-specific T cell responses allows one to assess infection history and to understand its contribution to protective immunity. Here, we perform in-depth profiling of CD8+ T cells binding to CMV-, EBV-, influenza-, and SARS-CoV-2-derived antigens in peripheral blood samples from 114 healthy donors and 55 cancer patients using high-dimensional mass cytometry and single-cell RNA sequencing. We analyze over 500 antigen-specific T cell responses across six different HLA alleles and observed unique phenotypes of T cells specific for antigens from different virus categories. Using machine learning, we extract phenotypic signatures of antigen-specific T cells, predict virus specificity for bulk CD8+ T cells, and validate these predictions, suggesting that machine learning can be used to accurately predict antigen specificity from T cell phenotypes.
- Published
- 2023
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