🛡️ T Cell Activation: How the Immune System Learns to Recognize a Threat
Explore how dendritic cells present antigens to T cells, why a costimulatory second signal is required to prevent autoimmunity, and how activated T cells multiply and differentiate into helper and killer cells.
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.
🔬 What It Demonstrates
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.
🎮 How to Use
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.
💡 Did You Know?
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.
Explore how dendritic cells present antigens to T cells, why a costimulatory second signal is required to prevent autoimmunity, and how activated T cells multiply and differentiate into helper and killer cells.
3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install