Mathematical, Computational and Experimental T Cell Immunology
(Sprache: Englisch)
Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume...
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Klappentext zu „Mathematical, Computational and Experimental T Cell Immunology “
Mathematical, statistical, and computational methods enable multi-disciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. This volume collects a representative sample of studies in T cell immunology that illustrate the benefits of modelling-experimental collaborations and which have proven valuable or even ground-breaking. Studies include thymic selection, T cell repertoire diversity, T cell homeostasis in health and disease, T cell-mediated immune responses, T cell memory, T cell signalling and analysis of flow cytometry data sets. Contributing authors are leading scientists in the area of experimental, computational, and mathematical immunology. Each chapter includes state-of-the-art and pedagogical content, making this book accessible to readers with limited experience in T cell immunology and/or mathematical and computational modelling.Inhaltsverzeichnis zu „Mathematical, Computational and Experimental T Cell 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.- 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
Autoren-Porträt
Grant Lythe and Carmen Molina-París are Professors of Applied Mathematics at the University of Leeds. They have coordinated the FP7 Initial Training Network on Quantitative T cell Immunology (2013-2017) and they currently coordinate the H2020 Innovative Training Network on Quantitative T cell Immunology and Immunotherapy (2018-2022).
Bibliographische Angaben
- 2022, 1st ed. 2021, X, 298 Seiten, 59 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Carmen Molina-París, Grant Lythe
- Verlag: Springer, Berlin
- ISBN-10: 3030572064
- ISBN-13: 9783030572068
Sprache:
Englisch
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