Mathematical, Computational and Experimental T Cell Immunology
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 modell...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2021, 2021
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| Edition: | 1st ed. 2021 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- Section 1MODELING 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
- Delay in differentiation may suggest division of labour in models 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
- Index