Adoptive immunotherapy : methods and protocols by Burkhard Ludewig, Matthias W. Hoffmann

By Burkhard Ludewig, Matthias W. Hoffmann

An authoritative choice of optimum suggestions for generating and characterizing the immunologically energetic cells and effector molecules now gaining vast use within the scientific remedy of sufferers. profiting from the most recent applied sciences, the authors current simply reproducible experimental protocols for the learn of dendritic cells, T cells, monoclonal antibodies, and bone marrow transplantation. The emphasis is on preclinicical and scientific purposes and at the growth of chosen techniques in scientific trials. extra chapters conceal the molecular definition of objective antigens, mathematical modeling methods to immunotherapy, and the usage of regulatory T cells. The protocols give the opportunity to check the adoptive move of adapted antigen-specific immune cells and to enhance the medical program of adoptive immunotherapy.

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98. , et al. (1997) Pro-inflammatory cytokines and prostaglandins induce maturation of potent immunostimulatory dendritic cells under fetal calf serum-free conditions. Eur. J. Immunol. 27, 3135–3142. 16 O’Neill and Bhardwaj 99. , et al. (2002) A clinical grade cocktail of cytokines and PGE(2) results in uniform maturation of human monocyte-derived dendritic cells: implications for immunotherapy. Vaccine 20(Suppl. 4), A8–A22. 100. , and Groettrup, M. (2002) Prostaglandin E2 is a key factor for CCR7 surface expression and migration of monocyte-derived dendritic cells.

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Some differential equations model processes with widely separated decay times (called stiff) require special stiff solvers (based upon either implicit Runge-Kutta or Gear’s methods) to produce simulations. These are available, for example, in the software package Berkeley Madonna. In the case of models formulated with delay (rather than ordinary) differential equations, software development is still an active area of research. Some interesting guidelines and recipes on how to conduct in silico experiments on the model system are discussed in (7) for biochemical models.

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