Cancer Driver Genes

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.

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.