This volume discusses the latest techniques used to identify cancer drug resistance determinants at the molecular, cellular, and functional levels. Chapters in this book cover up-to-date topics including tumor-microenvironment cell co-culture methods and microfluidics systems; workflows for functional assessment of drug resistance in vitro and in vivo; quantitative techniques for identifying quiescent blood-flow circulating cells; and single-cell characterization methods, such as mass cytometry. 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 practical,
Cancer Drug Resistance: Methods and Protocols
is a valuable resource for all scientists and researchers who are looking to learn more about the latest developments in understanding and overcoming anticancer drug resistance.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
56 farbige Abbildungen, 19 s/w Abbildungen
XIII, 242 p. 75 illus., 56 illus. in color.
Dateigröße
ISBN-13
978-1-0716-2513-2 (9781071625132)
DOI
10.1007/978-1-0716-2513-2
Schweitzer Klassifikation
A 3D Biomimetic System for Testing Anticancer Drugs Sensitivity.- Patient-Derived Breast Cancer Tissue Cultures for Anti-Endocrine Drug Assays.- Co-Culture of Two Different Cell Lines in a Two-Layer Microfluidic Device.- Generation and Culture of Organotypic Breast Carcinoma Spheroids for the Study of Drug Response in a 3D Microfluidic Device.- A Methodological Workflow to Analyze Synthetic Lethality and Drug Synergism in Cancer Cells.- Establishment of In Vivo Acquired Resistance to Chemotherapy via Individual Dose Escalation Treatment Regime.- A Label Retaining System to Capture Slow Cycling Cancer Cells.- A Fast and Furious Liquid Biopsy Assay to Monitor Targeted Therapy Resistance.- Assessment of Tumor Heterogeneity in High-Grade Serous Ovarian Cancer: Mass Cytometry to Understand the Complex Tumor Biology.- Analysis of Transcriptomic Data Generated from Drug Treated Cancer Cell Line.- Simultaneous Mapping of Enhancers and Enhancer Rearrangements with Paired-End H3K27ac ChIP-seq.- Identification of Drug Resistance Mechanisms using Genome-Wide CRISPR-Cas9 Screens.- RNA Sequencing Data Analysis on the Maser Platform and the Tag-Count Comparison-Graphical User Interface.- Dissecting the Epigenomic Driving Drug Resistance by ATAC-Seq.- Polygenomic Interrogation of Drug Resistance Genes.- Analysis of ER-phagy in Cancer Drug Resistance.- Drug Target Prediction using Context-Specific Metabolic Models Reconstructed from rFastcormics.
