How antigen quantity and quality determine T-cell decisions in lymphoid tissue

Mol Cell Biol. 2008 Jun;28(12):4040-51. doi: 10.1128/MCB.00136-08. Epub 2008 Apr 21.

Abstract

T lymphocytes (T cells) express T-cell receptor (TCR) molecules on their surface that can recognize peptides (p) derived from antigenic proteins bound to products of the major histocompatibility complex (MHC) genes. The pMHC molecules are expressed on the surface of antigen-presenting cells, such as dendritic cells (DCs). T cells first encounter antigen on DCs in lymph nodes (LN). Intravital microscopy experiments show that upon entering the LN containing antigen, CD8+ T cells first move rapidly. After a few hours, they stop and make extended contacts with DCs. The factors that determine when and how this transition occurs are not well understood. We report results from computer simulations that suggest that the duration of phase one is related to the low probability of productive interactions between T cells and DCs. This is demonstrated by our finding that the antigen dose and type determine when such a transition occurs. These results are in agreement with experimental observations. TCR-pMHC binding characteristics and the antigen dose determine the time required for a productive T-cell-DC encounter (resulting in sustained contact). We find that the ratio of this time scale and the half-life of the pMHC complex itself provide a consolidated measure of antigen quantity and type. Results obtained upon varying different measures of antigen quantity and type fall on one curve when graphed against this ratio of time scales. Thus, we provide a mechanism for how the effects of varying one set of parameters are influenced by other prevailing conditions. This understanding should help guide future experimentation.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Algorithms
  • Animals
  • Antigen Presentation
  • Antigen-Presenting Cells / immunology
  • Biophysics / methods
  • CD8-Positive T-Lymphocytes / immunology
  • Computer Simulation
  • Dendritic Cells / cytology
  • Gene Expression Regulation*
  • Humans
  • Lymph Nodes / immunology
  • Lymph Nodes / pathology*
  • Major Histocompatibility Complex
  • Models, Biological
  • Monte Carlo Method
  • T-Lymphocytes / cytology
  • T-Lymphocytes / immunology*
  • T-Lymphocytes / metabolism