Cancer Systems and Integrative Biology (eBook, PDF)

Redaktion: Kasid, Usha N.; Clarke, Robert

• Format: PDF

Produktbeschreibung

This thorough volume explores recent advances that have revolutionized the field of precision oncology. The chapters, contributed by experts in the areas of cancer systems and integrative biology, provide hands-on guidance toward developing tools to monitor spatial and temporal changes in tumors, tracking tumor markers in blood, and ultimately developing precision medicine to combat cancer in real time. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results.

Authoritative and informative, Cancer Systems and Integrative Biology serves as an invaluable resource for researchers, pharmaceutical scientists, and oncologists interested in expanding their knowledge base in the current developments in cancer research.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 375
• Erscheinungstermin: 16. Mai 2023
• Englisch
• ISBN-13: 9781071631638
• Artikelnr.: 68083635

Inhaltsangabe

Introduction: Cancer Systems and Integrative Biology.- Genome-Wide Analysis of Palindrome Formation with Next-Generation Sequencing (GAPF-Seq) and a Bioinformatics Pipeline for Assessing De Novo Palindromes in Cancer Genomes.- Sample Preparation and Differential Gene Expression Analysis of Human Cancer Cell Lines by RNA Sequencing.- Generating Mitochondrial-Nuclear Exchange (MNX) Mice to Identify Mitochondrial Determinants of Cancer Metastasis.- 3D Autologous Culture Method for Precision Oncology.- High-Plex Spatial Profiling of RNA and Protein Using Digital Spatial Profiler.- Integration of Single Cell RNA-Sequencing and Network Analysis to Investigate Mechanism of Drug Resistance.- Combination of Tissue Microarray Profiling and Multiplexed IHC Approaches to Investigate Transport Mechanism of Nucleoside Analog Drug Resistance.- In Situ Proximity Ligation Assay to Visualize Protein-Protein Interactions in Tumor Specimens.- Integration of Metabolomic and Proteomic Data to Uncover Actionable Metabolic Pathways.- Linking Expression of Cell-Surface Receptors with Transcription Factors by Computational Analysis of Paired Single-Cell Proteomes and Transcriptomes.- Mass Spectrometry-Based Tissue Imaging of the Tumor Microenvironment.- Multiplexed Immunoassay Using Quantum Dots to Monitor Proteins Secreted from Single Cells at Near-Single Molecule Resolution.- Isolation and Identification of Plasma Extracellular Vesicles Protein Biomarkers.- Discovery of a Hidden Proinflammatory Signaling Proteome Using a Large Scale, Targeted Antibody Microarray Platform.- Multiplex Fluorescent Immunohistochemistry for Preservation of Tumor Microenvironment Architecture and Spatial Relationship of Cells in Tumor Tissues.- Circle Damage Sequencing for Whole-Genome Analysis of DNA Damage.- CRISPR-Directed Gene Editing as a Method to Reduce Chemoresistance in Lung Cancer Cells.- Integrated In Silico Analysis of Proteogenomics and Drug Targets for Pancreatic Cancer Survival.- Advanced Computational Methods to Evaluate Vascular Heterogeneity in Tumor Tissue Based on Single Plane Illumination Microscopy.- Illuminating DEPDC1B in Multi-Pronged Regulation of Tumor Progression.- Single Cell and Spatial Analysis of Emergent Organoid Platforms.- Analysis of Phase-Separated Biomolecular Condensates in Cancer.- Gain-of-Function Variomics and Multi-Omics Network Biology for Precision Medicine.