Numerical stochastic modelling of the proliferation process of naive T-lymphocytes in the lymph node
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Nikolai V. Pertsev
und
Konstantin K. Loginov
Abstract
A continuously discrete stochastic model describing the proliferation process of naive T-lymphocytes during their contact with dendritic cells in a single lymph node is presented. Contact interaction is carried out between antigen-specific naive T-lymphocytes and antigen-presenting dendritic cells. The model is defined in terms of a random process whose components contain populations of different cells and families of unique cell types located in separate phases of the cell cycle. Model assumptions, recurrence relations for model variables, and a numerical simulation algorithm based on the Monte Carlo method are presented. The results of computational experiments with the model are presented illustrating the dynamics of the development of a population of cells formed from multiplying antigen-specific naive T-lymphocytes (memory and effector cells).
Funding statement: The research was supported by the Russian Science Foundation, project No. 23–11–00116.
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© 2025 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Self-similar mechanism of thrombin generation
- Reticular network as the lymph nodes railroad system: T cells migration modelling by the free energy minimization technique
- Personalization of parameters of electro-physiological model of the human heart
- Heterogeneous deformations of inflated hyperelastic membranes for data-driven constitutive modelling
- Numerical stochastic modelling of the proliferation process of naive T-lymphocytes in the lymph node
Artikel in diesem Heft
- Frontmatter
- Self-similar mechanism of thrombin generation
- Reticular network as the lymph nodes railroad system: T cells migration modelling by the free energy minimization technique
- Personalization of parameters of electro-physiological model of the human heart
- Heterogeneous deformations of inflated hyperelastic membranes for data-driven constitutive modelling
- Numerical stochastic modelling of the proliferation process of naive T-lymphocytes in the lymph node
