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020			_a9783030572044
024	7		_a10.1007/978-3-030-57204-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _erda _dES-MaUEC
050		4	_aQR185.8.T2 _b2021 EB
245	0	0	_aMathematical, Computational and Experimental T Cell Immunology _cedited by Carmen Molina-París, Grant Lythe
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021.
300			_a1 recurso en línea (X, 298 páginas) _b74 ilustraciones, 59 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de trexto _bPDF _2rda
490	0		_aBiomedical and Life Sciences (SpringerNature-11642)
490	0		_aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505	0		_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.
520	3		_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. .
988			_aSpringer_BiomedLife_2021
650		7	_2embne _9144344 _aLinfocitos T
650		7	_2embne _aInmunología _9138330
700	1		_aMolina-París, Carmen _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLythe, Grant _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030572037
776	0	8	_iPrinted edition: _z9783030572051
776	0	8	_iPrinted edition: _z9783030572068
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-57204-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE _n0
998			_b03/2021 _dz _ek _zSI