This simulation demonstrates how a T cell integrates TCR recognition and costimulatory signals to decide between full activation, anergy, and inaction, then models the resulting clonal expansion and differentiation into helper and cytotoxic subsets.
Adjust the antigen-presenting cell's danger signals and MHC-peptide match strength to see whether the T cell activates, becomes anergic, or ignores the encounter, then watch the population expand and split into CD4+ and CD8+ lineages over time.
Sliders and toggles let you set TCR-MHC match strength, B7 costimulation level, and simulation speed to observe activation outcomes and downstream clonal expansion in real time.
A single naive T cell specific to a given pathogen can be as rare as one in a million cells in the body, yet clonal expansion can turn that lone cell into millions of effector cells within about a week.
This simulation demonstrates how a T cell integrates TCR recognition and costimulatory signals to decide between full activation, anergy, and inaction, then models the resulting clonal expansion and differentiation into helper and cytotoxic subsets.
This simulation demonstrates how a T cell integrates TCR recognition and costimulatory signals to decide between full activation, anergy, and inaction, then models the resulting clonal expansion and differentiation into helper and cytotoxic subsets.
Adjust the antigen-presenting cell's danger signals and MHC-peptide match strength to see whether the T cell activates, becomes anergic, or ignores the encounter, then watch the population expand and split into CD4+ and CD8+ lineages over time.
A single naive T cell specific to a given pathogen can be as rare as one in a million cells in the body, yet clonal expansion can turn that lone cell into millions of effector cells within about a week.