Immuno-Model in Cancer

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.