1. TCR Signal Quality Modulates Fate Decisions of Single CD4 + T Cells in a Probabilistic Manner
- Author
-
Yi-Li Cho, Lorenz Kretschmer, Veit R. Buchholz, Thomas Höfer, Dirk H. Busch, and Michael Flossdorf
- Subjects
0301 basic medicine ,TCR avidity ,Lineage (genetic) ,computational modelling ,chemical and pharmacologic phenomena ,Computational biology ,Biology ,General Biochemistry, Genetics and Molecular Biology ,immunological memory ,03 medical and health sciences ,0302 clinical medicine ,Signal quality ,TCR binding strength ,Receptor ,Probabilistic framework ,lcsh:QH301-705.5 ,single-cell in vivo fate mapping ,T-cell receptor ,Probabilistic logic ,differentiation ,Probabilistic behavior ,Ligand (biochemistry) ,probabilistic regulation ,ddc ,030104 developmental biology ,lcsh:Biology (General) ,TCR signal quality ,Immunology ,CD4 T cells ,030215 immunology - Abstract
Summary To what extent the lineage decisions of activated CD4 + T cells are determined by the quality of T cell receptor (TCR) ligation is incompletely understood. Here, we show that individual T cells expressing identical TCRs take highly variable fate decisions despite binding the same ligand. We identify a mathematical model that correctly captures this probabilistic behavior and allows one to formalize changes in TCR signal quality—due to cognate versus altered peptide ligation—as changes of lineage-specific proliferation and differentiation rates. We show that recall responses also adhere to this probabilistic framework requiring recruitment of multiple memory clones to provide reliable differentiation patterns. By extending our framework to simulate hypothetical TCRs of distinct binding strength, we reconstruct primary and secondary response patterns emerging from a polyclonal TCR repertoire in silico. Collectively, these data suggest that individual T cells harboring distinct TCRs generate overlapping primary differentiation patterns that segregate only upon repetitive immunization.
- Published
- 2017