Fr. 261.00

Mathematical, Computational and Experimental T Cell Immunology

English · Hardback

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Description

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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.

List 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.

About the author










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).


Product details

Assisted by Lythe (Editor), Lythe (Editor), Grant Lythe (Editor), Carme Molina-Paris (Editor), Carme Molina-París (Editor), Carmen Molina-París (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Hardback
Released 01.02.2021
 
EAN 9783030572037
ISBN 978-3-0-3057203-7
No. of pages 298
Dimensions 155 mm x 21 mm x 235 mm
Illustrations X, 298 p. 74 illus., 59 illus. in color.
Subject Natural sciences, medicine, IT, technology > Medicine > Clinical medicine

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