In silico modelling of CD8 T cell immune response links genetic regulation to population dynamics - Archive ouverte HAL
Article Dans Une Revue ImmunoInformatics Année : 2024

In silico modelling of CD8 T cell immune response links genetic regulation to population dynamics

Résumé

The CD8 T cell immune response operates at multiple temporal and spatial scales, including all the early complex biochemical and biomechanical processes, up to long term cell population behavior. In order to model this response, we devised a multiscale agent-based approach using Simuscale software. Within each agent (cell) of our model, we introduced a gene regulatory network (GRN) based upon a piecewise deterministic Markov process formalism. Cell fate – differentiation, proliferation, death – was coupled to the state of the GRN through rule-based mechanisms. Cells interact in a 3D computational domain and signal to each other via cell–cell contacts, influencing the GRN behavior. Results show the ability of the model to correctly capture both population behavior and molecular timedependent evolution. We examined the impact of several parameters on molecular and population dynamics, and demonstrated the add-on value of using a multiscale approach by showing the influence of molecular parameters, particularly protein degradation rates, on the outcome of the response, such as effector and memory cell counts.
Fichier principal
Vignette du fichier
nguyen-et-al-HAL-VF.pdf (6.05 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04489553 , version 1 (05-03-2024)
hal-04489553 , version 2 (27-09-2024)

Licence

Identifiants

Citer

Thi Nhu Thao Nguyen, Madge Martin, C Arpin, Samuel Bernard, Olivier Gandrillon, et al.. In silico modelling of CD8 T cell immune response links genetic regulation to population dynamics. ImmunoInformatics, 2024, 15, pp.100043. ⟨10.1016/j.immuno.2024.100043⟩. ⟨hal-04489553v2⟩
138 Consultations
64 Téléchargements

Altmetric

Partager

More