Mathematical models and immune cell biology
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Mathematical models and immune cell biology by Carmen Molina-ParГ­s

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Published by Springer in New York .
Written in English

Subjects:

  • T-Lymphocytes,
  • B-Lymphocytes,
  • Immunology,
  • Adaptive Immunity,
  • Immunological Models,
  • Mathematical models

Book details:

Edition Notes

Includes bibliographical references and index.

StatementCarmen Molina-París, Grant Lythe, editors
Classifications
LC ClassificationsQR182.2.M36 M38 2011
The Physical Object
Paginationxvi, 407 p. :
Number of Pages407
ID Numbers
Open LibraryOL25064162M
ISBN 101441977244, 1441977252
ISBN 109781441977243, 9781441977250
LC Control Number2011926883
OCLC/WorldCa668190738

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Get this from a library! Mathematical models and immune cell biology. [Carmen Molina-París; Grant Lythe;] -- Mathematical immunology is in a period of rapid expansion and excitement. At recent meetings, a common language and research direction has .   As the knowledge of tumor-immune cell interactions has advanced, experimental investigation has been complemented by mathematical modeling with the goal to quantify and predict these interactions. This succinct review offers an overview of recent tumor-immune continuum modeling approaches, highlighting spatial by: Some mathematical models of T cell regulations of an immune response, repertoire selection, affinity maturation, as well as the models of immune network dynamics are the authors provide a brief introduction to the biology of the immune system and book contains a comprehensive review of the immune system structure and function. Various. cell biology. That attitude is changing; system-level investigations are now frequently accompanied by mathematical models, and such models may soon become requisites for describing the behaviour of cellular networks. What this book aims to achieve Mathematical modelling is becoming an increasingly valuable tool for molecular cell biology. Con-.

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This work develops a new mathematical model that combines important interactions between tumor cells and cells in the immune systems including natural killer cells, dendritic cells, and cytotoxic CD8 + T cells combined with drug delivery to these cell sites. 2. Mathematical modeling of immune cell migration. 3. Mathematical modeling of immune system homeostasis. 4. Multi-scale and hybrid modeling of viral and microbial infections. 5. Mathematical modelling of immune cell regulation and the cell fate decisions . The estimates of the "numbers" (Zinkernagel et al., ) characterizing evolutionary established interferon and immune responses in uncomplicated IAV infection are explored by developing a multiparameter mathematical model which allows direct quantitative references to the biological reality. The adaptive immune system reacts against pathogenic nonself, whereas it normally remains tolerant to self. The initiation of an immune response requires a critical antigen(Ag)-stimulation and a critical number of Ag-specific T cells. Autoreactive T cells are not completely deleted by thymic selection and partially present in the periphery of healthy individuals that respond in certain.