Cancer Drug Resistance Methods and Protocols /

Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Baiocchi, Marta (Editor)
Izvleček:XIII, 242 p. 75 illus., 56 illus. in color.
text
Jezik:angleščina
Izdano: New York, NY : Springer US : Imprint: Humana, 2022.
Izdaja:1st ed. 2022.
Serija:Methods in Molecular Biology, 2535
Teme:
Online dostop:https://doi.org/10.1007/978-1-0716-2513-2
Format: Elektronski Knjiga
Kazalo:
  • 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.