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Killer Cell Dynamics

Mathematical and Computational Approaches to Immunology

  • Book
  • © 2007

Overview

Editors:
  1. Dominik Wodarz

    1. Department of Ecology and Evolution, University of California, Irvine, USA

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  • Prominent area of research in the biomedical community
  • Review of mathematical and computational approaches used to help understand how killer T cell responses work to fight viral infections
  • Chapter summaries
  • Chapter applications
  • Large amount of graphics

Part of the book series: Interdisciplinary Applied Mathematics (IAM, volume 32)

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Table of contents (13 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Viruses and Immune Responses: A Dynamical View

    Pages 1-24

  3. Models of CTL Responses and Correlates of Virus Control

    Pages 25-40

  4. CTL Memory

    Pages 41-53

  5. CD4 T Cell Help

    Pages 55-70

  6. Immunodominance

    Pages 71-84

  7. Multiple Infections and CTL Dynamics

    Pages 85-97

  8. Control versus CTL-Induced Pathology

    Pages 99-111

  9. Lytic versus Nonlytic Activity

    Pages 113-124

  10. Dynamical Interactions between CTL and Antibody Responses

    Pages 125-136

  11. Effector Molecules and CTL Homeostasis

    Pages 137-145

  12. Virus-Induced Subversion of CTL Responses

    Pages 147-166

  13. Boosting Immunity against Immunosuppressive Infections

    Pages 167-181

  14. Evolutionary Aspects of Immunity

    Pages 183-193

  15. Back Matter

    Pages 195-220
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Keywords

About this book

Systems biology and computational biology have recently become prominent areas of research in the biomedical community, especially in the area of cell biology. Given that much information on genes and their protein products has become available, the big question is how the individual components interact and work together, and how this determines the functioning of cells, organs, and organisms. Long before the popularity of systems biology in biomedicine, however, such approaches have been used successfully in a di?erent area of biology: population ecology. Research in the area of population dynamics - vestigated complex interactions between di?erent populations of organisms, such as the dynamics of competition and predation, food webs, community structure, as well as the epidemiology of infectious diseases. In this ?eld, t- oretical biology and mathematical modeling have become an integral part of research. Mathematical models allowed people to obtain interesting and counter-intuitive insights into how complex interactions among di?erent p- ulations can play out. Such mathematical studies not only gave rise to - teresting theoretical ideas, but also provided the basis for the design of new experimental work and de?ned major questions and directions of research. Around 1990, such population dynamic concepts, and the use of mathema- cal/computational approaches, started to be applied to the in vivo dynamics between viruses and the immune system. These interactions have many s- ilarities to ecological, epidemiological, and evolutionary principles. Consider theepidemiologicalspreadofapathogen(suchasthecommoncold)througha population of hosts.

Reviews

From the reviews:

"This book concentrates on a particular branch of the immune system: killer T cells … . the book provides an introduction to the field of mathematical immunology and an overview together a broad variety of immunological topics. … intended for an interdisciplinary audience, and it is written in a way such that experimental immunologists and virologists should be able to understand the arguments and to see the biological implications of the theory. An interesting text which might be a good complement to this book … ." (Eva Sanchez, Zentralblatt MATH, Vol. 1125 (2), 2008)

Editors and Affiliations

  • Department of Ecology and Evolution, University of California, Irvine, USA

    Dominik Wodarz

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