4.6 Review

Modeling the Dynamics of T-Cell Development in the Thymus

Journal

ENTROPY
Volume 23, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/e23040437

Keywords

thymic selection; T-cell development; T-cell receptor (TCR); mathematical modeling; multi-scale models; complex systems; ordinary differential equations (ODE); agent-based models

Funding

  1. Helmsley Charitable Trust [2019PG-T1D011]
  2. UiO World-Leading Research Community
  3. UiO:LifeSciences Convergence Environment Immunolingo
  4. EU [825821]
  5. Research Council of Norway FRIPRO project [300740]
  6. German Research Foundation (DFG) [KR2320/6-1]

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The thymus is crucial for the development of T cells, which play a key role in orchestrating the adaptive immune response. Experimental strategies and mathematical modeling have been used to understand the dynamic properties of T-cell development and the challenges of estimating in vivo cellular dynamics for achieving a next-generation multi-scale picture of T-cell development.
The thymus hosts the development of a specific type of adaptive immune cells called T cells. T cells orchestrate the adaptive immune response through recognition of antigen by the highly variable T-cell receptor (TCR). T-cell development is a tightly coordinated process comprising lineage commitment, somatic recombination of Tcr gene loci and selection for functional, but non-self-reactive TCRs, all interspersed with massive proliferation and cell death. Thus, the thymus produces a pool of T cells throughout life capable of responding to virtually any exogenous attack while preserving the body through self-tolerance. The thymus has been of considerable interest to both immunologists and theoretical biologists due to its multi-scale quantitative properties, bridging molecular binding, population dynamics and polyclonal repertoire specificity. Here, we review experimental strategies aimed at revealing quantitative and dynamic properties of T-cell development and how they have been implemented in mathematical modeling strategies that were reported to help understand the flexible dynamics of the highly dividing and dying thymic cell populations. Furthermore, we summarize the current challenges to estimating in vivo cellular dynamics and to reaching a next-generation multi-scale picture of T-cell development.

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