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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.
Inhaltsverzeichnis
Profiling of Macrophage Polarization Using Automated Enzyme-Linked Immunosorbent Assay.- Determination of the Inhibitory Properties of Compounds Towards Immune Checkpoint Complex Formation using ELISA.- The Nucleic Acids Immunoprecipitation Method for DNA Repair Research.- Analysis of the Functional Impact of Glycosylation on Immune Checkpoint Proteins.- Evaluation of Immune Checkpoint Inhibitors in a Jurkat-Based Transcriptional Reporter System: A Cell-Based Reporter Platform for Evaluation of Immune Checkpoint Inhibitors.- A PD-1/PD-L1-Sensitive Co-Culture-Based Primary T-Cell Activation Assay.- In Vitro Model for Studying Interaction of Immune Cells and Cancer Cells.- In Vitro Co-Culture Model of Immune and Tumor Cells for Immunotherapy Studies of High Mutational Load Tumors.- Implementing Photodynamic Therapy to Activate the IFN-1 Pathway in Melanoma Cells: A Protocol for Inducing Immunogenic Cell Death and Enhancing Dendritic Cell Maturation.- 3D Spheroids to Study the Impact of Immune Checkpoint Proteins in Solid Tumors.- A 3D Co-Culture Model of Endometrial Carcinoma Cells with Peripheral Blood Immune Cells (PBMCs) to Study the Activity of Immune Checkpoint Inhibitors.- Immunocompetent Preclinical Mouse Models of Brain Cancer.- Cancer Patient-Derived Scaffolds as In Vitro Pre-Clinical Models for Immunotherapy Screening.- An Indigenous Workflow for Generating CD19 CAR-T Cells.- Using Epigenetic Data to Deconvolute Immune Cells in Cancer from Blood Samples.- Deciphering the Tumor Microenvironment Composition using Bulk Transcriptomics: A Guide to Recent Advances and Open Challenges.- Computational Methods for Cancer Neoantigen Prediction.- Bioinformatics Analysis of Transcriptomic Data (Bulk and scRNA-seq) for Immuno-Oncology.
Zusammenfassung
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.
