Computational analysis of T cell receptor signaling and ligand discrimination--past, present, and future.
Signaling through the T cell receptor for antigen (TCR) has been studied for years by conventional biochemical means. More recently, attempts have been made to develop computational models of signaling through this receptor, with a specific focus on understanding how this recognition system discriminates between closely related (self and non-self) ligands. Here we discuss recent advances centered on the role of feedback regulation, especially the key finding that a combination of digital and analog control circuits is fundamental to the discrimination properties of the TCR. We end by pointing to future, more biologically accurate models that incorporate spatial aspects of molecular organization in antigen-engaged T lymphocytes with this underlying biochemistry.
Germain
Ronald N
RN
Lymphocyte Biology Section, Laboratory of Immunology, Trans-NIH Center for Human Immunology (CHI), National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892-1892, USA. rgermain@nih.gov
D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008024:Ligands; D011948:Receptors, Antigen, T-Cell / Q000378:metabolism*; D015398:Signal Transduction
D008024:Ligands; D011948:Receptors, Antigen, T-Cell