Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore a mathematical model of T cell selection through extreme value statistics in this 31-minute conference talk. Learn how random interaction strengths between self-peptides and T cell receptors can be analytically studied to understand the effects of thymic selection on cytotoxic T lymphocyte (CTL) recognition of tumor-associated neoantigens and foreign peptides. Discover how the model estimates the number of CTLs capable of detecting donor-matched transplants and examine how negative selection thresholds that reflect experimentally observed thymic survival rates produce near-optimal T cell populations that can survive selection while maintaining foreign antigen recognition capabilities. Gain insights into the intersection of immunology and statistical mathematics as analytical results are validated through simulation studies, demonstrating the power of extreme value theory in understanding biological selection processes.
