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        IMMUNO-model in Cancer

        Methods and Protocols

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        Contributor(s)
        Rani, Sweta (editor)
        Skalniak, Lukasz (editor)
        Language
        English
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        Abstract
        This open access volume describes the computational and experimental models that help researchers understand the responses of the immune system in cancer and test experimental immune-oncology approaches. The chapters in this book cover methods such as profile polarization in macrophages using ELISA; immune checkpoint inhibitors; interactions of PD-1/PD-L1 and T cells; immunocompetent preclinical mouse models to study primary and metastatic brain cancer; and methods to generate CAR T-cells. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Immuno-Model in Cancer: Methods and Protocols is a valuable resource for both new and experienced researchers who want to learn more about this important and developing field.
        URI
        https://library.oapen.org/handle/20.500.12657/107674
        Keywords
        Open Access; Dendritic Cell Activation; breast cancer cell lines; Immunohistochemistry; macrophage polarization; myeloid-derived suppressor cells; MDSC; T-cell killing assay
        DOI
        10.1007/978-1-0716-4734-9
        ISBN
        9781071647349, 9781071647349, 9781071647332
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        New York, NY, 2026
        Imprint
        Humana
        Series
        Methods in Molecular Biology; Springer Protocols, 2959
        Classification
        Oncology
        Immunology
        Pages
        306
        Public remark
        Funded by: European Cooperation in Science and Technology
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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