Molina-París Carmen, Lythe Grant (eds.) Mathematical, Computational and Experimental T Cell Immunology

Springer, 2021. — 767 p. — ISBN 978-3-030-57204-4.The purpose of this book is to present current mathematical and computational models that are used to describe and characterise the immunology of T cells. The reader will be exposed to a variety of tools/methods that go hand-in-hand with the T cell-mediated immunological process that is being modelled. We aim in the proposed book to emphasise the role that mathematical (or computational) modelling has already played in Immunology.Cytokine Receptor Signaling and CD4/​CD8 Lineage Choice during T Cell Development in the Thymus
An Agent-Based Model of T Helper Cell Fate Decisions in the Thymus
Modelling Naive T Cell Homeostasis
Mechanistic Models of CD4 T Cell Homeostasis and Reconstitution in Health and Disease
Modeling the Dynamics of CD4+ T Cells in HIV-1 Infection
Modelling the Response to Interleukin-7 Therapy in HIV-Infected Patients
Modeling Immunopathology During Persistent Viral Infections
Delayed Differentiation Makes Many Models Compatible with Data for CD8+ T Cell Differentiation
Inferring Differentiation Order in Adaptive Immune Responses from Population-Level Data
Experimental and Mathematical Approaches to Quantify Recirculation Kinetics of Lymphocytes
The Public Face and Private Lives of T Cell Receptor Repertoires
Population Dynamics of Immune Repertoires
Mathematical Modelling of T Cell Activation
Agent-Based Model of Heterogeneous T-Cell Activation in Vitro
CTLA-4-Mediated Ligand Trans-Endocytosis:​ A Stochastic Model
Automated Gating and Dimension Reduction of High-Dimensional Cytometry Data