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Cancer Driver Genes: Methods and Protocols

Download Cancer Driver Genes: Methods and Protocols written by Timothy K. Starr in PDF format. This book is under the category Medicine and bearing the isbn/isbn13 number 1493989669/9781493989669. You may reffer the table below for additional details of the book.

$19.99

Specifications

book-author

Timothy K. Starr

publisher

Humana

file-type

PDF

pages

214 pages

language

English

isbn10

1493989669

isbn13

9781493989669


Book Description

This ebook; Cancer Driver Genes: Methods and Protocols (PDF) presents protocols for the identification of genetic drivers of cancer. Chapters guide readers through a brief history of cancer gene discovery; in vitro approaches; in silico 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 the progression; initiation; and metastasis of cancer.

 

book-author

Timothy K. Starr

publisher

Humana

file-type

PDF

pages

214 pages

language

English

isbn10

1493989669

isbn13

9781493989669

Table of contents


Table of contents :
Front Matter ….Pages i-xi
Cancer Gene Discovery: Past to Present (Christopher R. Clark, Wilaiwan DuRose, Timothy K. Starr)….Pages 1-15
Front Matter ….Pages 17-17
Identification of Cancer Driver Genes from a Custom Set of Next Generation Sequencing Data (Shu-Hsuan Liu, Wei-Chung Cheng)….Pages 19-36
Cancer Gene Discovery by Network Analysis of Somatic Mutations Using the MUFFINN Server (Heonjong Han, Ben Lehner, Insuk Lee)….Pages 37-50
Identifying Driver Interfaces Enriched for Somatic Missense Mutations in Tumors (Kivilcim Ozturk, Hannah Carter)….Pages 51-72
Identification of Cancer Genes Based on De Novo Transposon Insertion Site Analysis Using RNA and DNA Sequencing (Aaron Sarver)….Pages 73-79
Front Matter ….Pages 81-81
A Cell-Based Method for Identification of Chemotherapy Resistance Cancer Genes (Raffaele Hellweg, Ashley Mooneyham, Martina Bazzaro)….Pages 83-90
Engineering a Bioartificial Human Colon Model Through Decellularization and Recellularization (Huanhuan Joyce Chen, Michael L. Shuler)….Pages 91-102
Mutagenesis Screens for Prostate Cancer Using Replication-Incompetent Lentiviral Vectors (Grant D. Trobridge)….Pages 103-114
Arrayed shRNA Screening to Identify Suppressors of Anchorage-Independent Growth (Ugur Eskiocak)….Pages 115-123
Genome-Wide CRISPR/Cas9 Screening for Identification of Cancer Genes in Cell Lines (Charles H. Adelmann, Tim Wang, David M. Sabatini, Eric S. Lander)….Pages 125-136
CRISPR/Cas9-Based Positive Screens for Cancer-Related Traits (Nicholas J. Slipek, Jyotika Varshney, David A. Largaespada)….Pages 137-144
Ex Vivo Transposon-Mediated Genetic Screens for Cancer Gene Discovery (Kathryn A. O’Donnell, Yabin Guo, Shruthy Suresh, Barrett L. Updegraff, Xiaorong Zhou)….Pages 145-157
Front Matter ….Pages 159-159
Cancer Gene Discovery Utilizing Sleeping Beauty Transposon Mutagenesis (Kelsie L. Becklin, Branden A. Smeester, Branden S. Moriarity)….Pages 161-170
PiggyBac Transposon-Based Insertional Mutagenesis in Mice (Mathias J. Friedrich, Iraad F. Bronner, Pentao Liu, Allan Bradley, Roland Rad)….Pages 171-183
Liver-Specific Delivery of Sleeping Beauty Transposon System by Hydrodynamic Injection for Cancer Gene Validation (Amy P. Chiu, Vincent W. Keng)….Pages 185-196
Engineering Large Genomic Rearrangement in Mouse Embryonic Stem Cell for Cancer Gene Discovery (Yuen-Yi Tseng, Anindya Bagchi)….Pages 197-212
Back Matter ….Pages 213-214

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