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

By Burkhard Ludewig, Matthias W. Hoffmann

An authoritative number of optimum thoughts for generating and characterizing the immunologically lively cells and effector molecules now gaining large use within the scientific therapy of sufferers. profiting from the most recent applied sciences, the authors current conveniently reproducible experimental protocols for the research of dendritic cells, T cells, monoclonal antibodies, and bone marrow transplantation. The emphasis is on preclinicical and scientific purposes and at the development of chosen methods in scientific trials. extra chapters disguise the molecular definition of goal antigens, mathematical modeling techniques to immunotherapy, and the usage of regulatory T cells. The protocols give the opportunity to review the adoptive move of adapted antigen-specific immune cells and to enhance the medical program of adoptive immunotherapy.

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Although presentation of MHC class II-restricted antigens by DC is, in general, rather efficient with soluble exogenous proteins such as TT, we could still observe that a 10-fold lower concentration of antigen was sufficient to obtain the same level of T-cell proliferation when TT was offered to DC by PLGA MS loading. 01 µg/mL), MoDC pulsed with soluble TT ceased to stimulate TT-specific T-cells after 6 d, whereas MS-TT-charged DC were still able to activate T-cells 10 d after MS-TT loading (Y.

2002) Emerging clinical applications of RNA. Nature 418, 252–258. 110. , and Steinkasserer, A. (2001) Viral vectors for dendritic cell-based immunotherapy. Trends Immunol. 22, 102–107. 111. 111 Dietz, A. , and Vuk-Pavlovic, S. (1998) High efficiency adenovirus-mediated gene transfer to human dendritic cells. Blood 91, 392–398. 112. , et al. (1999) Identification of five MAGE-A1 epitopes recognized by cytolytic T lymphocytes obtained by in vitro stimulation with dendritic cells transduced with MAGE-A1.

Because the parameters of the model are constrained to be nonnegative, we used a log10-transformation for the parameters, so that the resulting sequence of reduced order data-fitting problems were treated as an unconstrained minimization (see Note 6). 28 Bocharov, Ford, and Ludewig There are software packages such as Berkeley Madonna that can automatically find the values of a number of parameters in a model that minimize the deviation between the model’s output and a data set. In principle, these facilities greatly enhance the capability of treating the parameter estimation problem.

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