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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1380508118
Titel IMMUNO-model in Cancer : Methods and Protocols / edited by Sweta Rani, Lukasz Skalniak
Person(en) Rani, Sweta (Herausgeber)
Skalniak, Lukasz (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag New York, NY : Springer US, Imprint: Humana
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XIV, 306 p. 70 illus., 59 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-1-0716-4733-2
Printed edition:: ISBN: 978-1-0716-4735-6
Printed edition:: ISBN: 978-1-0716-4736-3
Inhalt 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
Persistent Identifier URN: urn:nbn:de:101:1-2511020311463.473944400838
DOI: 10.1007/978-1-0716-4734-9
URL https://doi.org/10.1007/978-1-0716-4734-9
ISBN/Einband/Preis 978-1-0716-4734-9
Sprache(n) Englisch (eng)
Beziehungen Methods in Molecular Biology ; 2959
DDC-Notation 610.28 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 610 Medizin, Gesundheit

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