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Numerical stochastic modelling of the proliferation process of naive T-lymphocytes in the lymph node Full article

Journal Russian Journal of Numerical Analysis and Mathematical Modelling
ISSN: 0927-6467 , E-ISSN: 1569-3988
Output data Year: 2025, Volume: 40, Number: 5, Pages: 405-417 Pages count : 13
Tags Lymph node, naive T-lymphocyte, dendritic cell, adaptive immune response, stochastic model, Monte Carlo method, computational experiment
Authors Pertsev N.V. 1,2 , Loginov K.K. 1,2
Affiliations
1 Sobolev Institute of Mathematics, Siberian Branch of RAS
2 Marchuk Institute of Numerical Mathematics of RAS

Funding (1)

1 Russian Science Foundation 23-11-00116

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).
Cite: Pertsev N.V. , Loginov K.K.
Numerical stochastic modelling of the proliferation process of naive T-lymphocytes in the lymph node
Russian Journal of Numerical Analysis and Mathematical Modelling. 2025. V.40. N5. P.405-417.
Dates:
Published print: Nov 9, 2025
Published online: Nov 9, 2025
Identifiers: No identifiers
Citing: Пока нет цитирований