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001433358 001__ 1433358
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001433358 019__ $$a1229917802$$a1236300537$$a1238201222$$a1241066406
001433358 020__ $$a9783030572044$$q(electronic bk.)
001433358 020__ $$a3030572048$$q(electronic bk.)
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001433358 0247_ $$a10.1007/978-3-030-57204-4$$2doi
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001433358 050_4 $$aQR185.8.T2
001433358 08204 $$a571.9/66$$223
001433358 24500 $$aMathematical, computational and experimental T cell immunology /$$cCarmen Molina-París, Grant Lythe, editors.
001433358 260__ $$aCham :$$bSpringer,$$c2021.
001433358 300__ $$a1 online resource
001433358 336__ $$atext$$btxt$$2rdacontent
001433358 337__ $$acomputer$$bc$$2rdamedia
001433358 338__ $$aonline resource$$bcr$$2rdacarrier
001433358 347__ $$atext file
001433358 347__ $$bPDF
001433358 5050_ $$aCytokine receptor signaling and CD4/CD8 lineage choice during T cell development in the thymus -- An agent-based model of T helper cell fate decisions in the thymus -- Modelling naive T cell homeostasis -- Mechanistic models of CD4 T cell homeostasis and reconstitution in health and disease -- Section 1MODELING THE DYNAMICS OF CD4+ T CELLS IN HIV- 1 INFECTION -- Modelling the response to Interleukin-7 therapy in HIV-infected patients -- Modeling immunopathology during persistent viral infections -- Delay in differentiation may suggest division of labour in models for CD8+ T cell differentiation -- Inferring differentiation order in adaptive immune responses from population level data -- Experimental and mathematical approaches to quantify recirculation kinetics of lymphocytes -- The public face and private lives of T cell receptor repertoires -- Population dynamics of immune repertoires -- Mathematical Modelling of T cell activation -- Agent-based model of heterogeneous T cell activation in vitro -- CTLA-4 mediated ligand trans-endocytosis: a stochastic model -- Automated gating and dimension reduction of high-dimensional cytometry data -- Index.
001433358 506__ $$aAccess limited to authorized users.
001433358 520__ $$aThe purpose of this book is to present current mathematical and computational models that are used to describe and characterise the immunology of T cells. The reader will be exposed to a variety of tools/methods that go hand-in-hand with the T cell-mediated immunological process that is being modelled. We aim in the proposed book to emphasise the role that mathematical (or computational) modelling has already played in Immunology. Each chapter will provide an example of the contribution of mathematics to T cell immunology under one of the following four headings: i) Generation of hypotheses, ii) Quantification of immunological processes, iii) Definition of observables to measure given an experimental objective, iv) reconciling disparate (or even conflicting) experimental results.
001433358 650_0 $$aT cells$$xMathematical models.
001433358 650_0 $$aT cells$$xComputer simulation.
001433358 650_0 $$aImmunology.
001433358 650_6 $$aImmunologie.
001433358 655_0 $$aElectronic books.
001433358 7001_ $$aMolina-París, Carmen,$$eeditor.
001433358 7001_ $$aLythe, Grant,$$d1966-$$eeditor.
001433358 77608 $$iPrint version:$$tMathematical, computational and experimental T cell immunology.$$dCham : Springer, 2021$$z303057203X$$z9783030572037$$w(OCoLC)1176316490
001433358 852__ $$bebk
001433358 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-57204-4$$zOnline Access$$91397441.1
001433358 909CO $$ooai:library.usi.edu:1433358$$pGLOBAL_SET
001433358 980__ $$aBIB
001433358 980__ $$aEBOOK
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001433358 983__ $$aOnline
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