Modeling T Cell Fate

Rob J De Boer*, Andrew J Yates*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Many of the pathways that underlie the diversification of naive T cells into effector and memory subsets, and the maintenance of these populations, remain controversial. In recent years a variety of experimental tools have been developed that allow us to follow the fates of cells and their descendants. In this review we describe how mathematical models provide a natural language for describing the growth, loss, and differentiation of cell populations. By encoding mechanistic descriptions of cell behavior, models can help us interpret these new datasets and reveal the rules underpinning T cell fate decisions, both at steady state and during immune responses.

Original languageEnglish
Pages (from-to)513-532
Number of pages20
JournalAnnual Review of Immunology
Volume41
DOIs
Publication statusPublished - 26 Apr 2023

Keywords

  • Humans
  • Animals
  • T-Lymphocytes
  • Cell Differentiation
  • Immunologic Memory
  • T-Lymphocyte Subsets
  • CD8-Positive T-Lymphocytes

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