Cancer driver genes : methods and protocols / edited by Timothy K. Starr.

Cancer gene discovery : past to present / Christopher R. Clark, Wilaiwan DuRose, and Timothy K. Starr -- Identification of cancer driver genes from a custom set of next generation sequencing data / Shu-Hsuan Liu and Wei-Chung Cheng -- Cancer gene discovery by network analysis of somatic mutations using the MUFFINN server / Heonjong Han, Ben Lehner, and Insuk Lee -- Identifying driver interfaces enriched for somatic missense mutations in tumors / Kivilcim Ozturk and Hannah Carter -- Identification of cancer genes based on de novo transposon insertion site analysis using RNA and DNA sequencing / Aaron Sarver -- Cell-based method for identification of chemotherapy resistance cancer genes / Raffaele Hellweg, Ashley Mooneyham, and Martina Bazzaro -- Engineering a bioartificial human colon model through decellularization and recellularization / Huanhuan Joyce Chen and Michael L. Shuler -- Mutagenesis screens for prostate cancer using replication-incompetent lentiviral vectors / Grant D. Trobridge -- Arrayed shRNA screening to identify suppressors of anchorage-independent growth / Ugur Eskiocak -- Genome-wide CRISPR/Cas9 screening for identification of cancer genes in cell lines / Charles H. Adelmann, Tim Wang, David M. Sabatini, and Eric S. Lander -- CRISPR/Cas9-based positive screens for cancer-related traits / Nicholas J. Slipek, Jyotika Varshney, and David A. Largaespada -- Ex vivo transposon-mediated genetic screens for cancer gene discovery / Kathryn A. O'Donnell, Yabin Guo, Shruthy Suresh, Barrett L. Updegraff, and Xiaorong Zhou -- Cancer gene discovery utilizing sleeping beauty transposon mutagenesis / Kelsie L. Becklin, Branden A. Smeester, and Branden S. Moriarity -- PiggyBac transposon-based insertional mutagenesis in mice / Mathias J. Friedrich, Iraad F. Bronner, Pentao Liu, Allan Bradley, and Roland Rad -- Liver-specific delivery of sleeping beauty transposon system by hydrodynamic injection for cancer gene validation / Amy P. Chiu and Vincent W. Keng -- Engineering large genomic rearrangement in mouse embryonic stem cell for cancer gene discovery / Yuen-Yi Tseng and Anindya Bagchi.

Includes bibliographical references and index.

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. .