Franklin

Cancer Driver Genes [electronic resource] : Methods and Protocols / edited by Timothy K. Starr.

Publication:
New York, NY : Springer New York : Imprint: Humana Press, 2019.
Series:
Springer Protocols (Springer-12345)
Methods in Molecular Biology, 1064-3745 ; 1907
Methods in Molecular Biology, 1064-3745 ; 1907
Format/Description:
Book
1 online resource (XI, 214 pages) : 46 illustrations, 35 illustrations in color.
Subjects:
Oncology.
Human genetics.
Local subjects:
Cancer Research. (search)
Human Genetics. (search)
System Details:
text file PDF
Summary:
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.
Contributor:
Starr, Timothy K. editor., Editor,
SpringerLink (Online service)
Contained In:
Springer eBooks
Other format:
Printed edition:
Printed edition:
ISBN:
9781493989676
Publisher Number:
10.1007/978-1-4939-8967-6 doi
Access Restriction:
Restricted for use by site license.
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