Includes bibliographical references and index.
|Statement||Carmen Molina-París, Grant Lythe, editors|
|LC Classifications||QR182.2.M36 M38 2011|
|The Physical Object|
|Pagination||xvi, 407 p. :|
|Number of Pages||407|
|ISBN 10||1441977244, 1441977252|
|ISBN 10||9781441977243, 9781441977250|
|LC Control Number||2011926883|
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-.
Contributor By: Michael Crichton Publishing PDF ID ab63d mathematical models and immune cell biology pdf Favorite eBook Reading one or more immune cell types o highlights spatial models evaluating immune cell effects on tumor. E.g., we will review some mathematical methods that are frequently used in mathematical biology, con-sider some standard models, and last, but not least have an introduction into the art of modelling. In contrast to Bioinformatics which deals mainly with the description and structure of data, the aim. Mathematical Models of Hematopoietic Cell Replication and Control to mathematical biology and the breadth of the ﬁeld. This book thus has two unique features, summarized as case studies in mathematical biology. The mathematical level of the book is graded, becoming more ad-vanced in the later chapters. Every chapter requires that. In this study, a mathematical model is proposed for active immunotherapy that includes the effects of natural killer cells, circulating lymphocytes, CD8 + T cells, CD4 + T cells, and chemotherapy on the tumor. Both roles of CD4 + T cells are considered in the model.
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.