Full Description
This book presents protocols for identification of genetic drivers of cancer. Chapters guide readers through a brief history of cancer gene discovery, in silico approaches, in vitro approaches, and in vivo approaches using forward genetic screens in mice. 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.
Authoritative and cutting-edge, Cancer Driver Genes: Methods and Protocols aims to provide protocols that will be used and adapted by cancer researchers to expand the knowledge base of molecular mechanisms contributing to initiation, progression, and metastasis of cancer.
Contents
Cancer Gene Discovery: Past and Present.- Identification of Cancer Driver Genes from a Custom Set of Next Generation Sequencing Data.- Cancer Gene Discovery by Network Analysis of Somatic Mutations using the MUFFINN Server.- Identifying Driver Interfaces Enriched for Somatic Missense Mutations in Tumors.- Identification of Cancer Genes Based on de novo Transposon Insertion Site Analysis using RNA and DNA Sequencing.- A Cell-based Method for Identification of Chemotherapy Resistance Cancer Genes.- Engineering a Bioartificial Human Colon Model through Decellularization and Recellularization.- Mutagenesis Screens for Prostate Cancer using Replication-Incompetent Lentiviral Vectors.- Arrayed shRNA Screening to Identify Suppressors of Anchorage-independent Growth.- Genome-wide CRISPR/Cas9 Screening for Identification of Cancer Genes in Cell Lines.- CRISPR/Cas9 Based Positive Screens for Cancer Related Traits.- Ex vivo Transposon-Mediated Genetic Screens for Cancer Gene Discovery.- Cancer Gene Discovery Utilizing Sleeping Beauty Transposon Mutagenesis.- PiggyBac Transposon-based Insertional Mutagenesis in Mice.- Liver-specific Delivery of Sleeping Beauty Transposon System by Hydrodynamic Injection for Cancer Gene Validation.- Engineering Large Genomic Rearrangement in Mouse Embryonic Stem Cell for Cancer Gene Discovery.
