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Robert PA, Kunze-Schumacher H, Greiff V, et al. Modeling the Dynamics of T-Cell Development in the Thymus. Entropy (Basel). 2021;23(4)doi: 10.3390/e23040437.
Robert, P. A., Kunze-Schumacher, H., Greiff, V., & Krueger, A. (2021). Modeling the Dynamics of T-Cell Development in the Thymus. Entropy (Basel, Switzerland), 23(4), . https://doi.org/10.3390/e23040437
Robert, Philippe A, et al. "Modeling the Dynamics of T-Cell Development in the Thymus." Entropy (Basel, Switzerland) vol. 23,4 (2021). doi: https://doi.org/10.3390/e23040437
Robert PA, Kunze-Schumacher H, Greiff V, Krueger A. Modeling the Dynamics of T-Cell Development in the Thymus. Entropy (Basel). 2021 Apr 08;23(4). doi: 10.3390/e23040437. PMID: 33918050; PMCID: PMC8069328.
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Entropy (Basel). 2021 Apr 08;23(4). doi: 10.3390/e23040437.

Modeling the Dynamics of T-Cell Development in the Thymus.

Entropy (Basel, Switzerland)

Philippe A Robert, Heike Kunze-Schumacher, Victor Greiff, Andreas Krueger

Affiliations

  1. Department of Immunology, University of Oslo, 0372 Oslo, Norway.
  2. Institute for Molecular Medicine, Goethe University, 60590 Frankfurt, Germany.

PMID: 33918050 PMCID: PMC8069328 DOI: 10.3390/e23040437

Abstract

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

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

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