Cancer Gene Profiling

Summary

Over the last few years, the methods for analyzing cancer related genes on a molecular level have changed rapidly. The advent of incredible new technology, such as automated sequencing, has served as a catalyst for many advances in the area of gene profiling, and has enabled the research community to investigate populations of cells in a given tissue. Cancer Gene Profiling: Methods and Protocols examines the world of cancer gene profiling in light of these new advances, providing highly developed microarray techniques alongside modern methods for arraying tissues and proteomics. Chapters bring together the experiences of leading scientists in each method of profiling, providing a clear overview of the ground-breaking techniques used to perform these experiments effectively. Composed in the highly successful Methods in Molecular Biology'„¢ series format, each chapter contains a brief introduction, step-by-step methods, a list of necessary materials, and a Notes section which shares tips on troubleshooting and avoiding known pitfalls.Comprehensive and state-of-the-art, Cancer Gene Profiling: Methods and Protocols is a fundamental guidebook for researchers in the field of cancer gene profiling, as well as for those individuals in the area of biomedical/translational research.

Preface	p. v
Contributors	p. ix
Organizational Issues in Providing High-Quality Human Tissues and Clinical Information for the Support of Biomedical Research	p. 1
Manual Microdissection	p. 31
Laser Microdissection	p. 39
Tissue Microarrays	p. 49
A Decade of Cancer Gene Profiling: From Molecular Portraits to Molecular Function	p. 61
Mining Expressed Sequence Tag (EST)Libraries for Cancer-Associated Genes	p. 89
Automated Fluorescent Differential Display for Cancer Gene Profiling	p. 99
Manual Microdissection Combined with Antisense RNA-LongSAGE for the Analysis of Limited Cell Numbers	p. 135
Quantitative DNA Methylation Profiling on a High-Density Oligonucleotide Microarray	p. 155
Single-Nucleotide Polymorphism (SNP) Analysis to Associate Cancer Risk	p. 171
Application of Proteomics in Cancer Gene Profiling: Two-Dimensional Difference in Gel Electrophoresis (2D-DIGE)	p. 197
Search for and Identification of Novel Tumor-Associated Autoantigens	p. 213
Integrative Oncogenomic Analysis of Microarray Data in Hematologic Malignancies	p. 231
Cancer Gene Profiling in Pancreatic Cancer	p. 279
Cancer Gene Profiling in Prostate Cancer	p. 293
Cancer Gene Profiling for Response Prediction	p. 327
The EGFR Pathway as an Example for Genotype: Phenotype Correlation in Tumor Genes	p. 341
Quantitation Of CD39 Gene Expression in Pancreatic Tissue by Real-Time Polymerase Chain Reaction	p. 351
Functional Profiling Methods in Cancer	p. 363
Calibration of Microarray Gene-Expression Data	p. 375
Meta-analysis of Cancer Gene-Profiling Data	p. 409
Target Gene Discovery for Novel Therapeutic Agents in Cancer Treatment	p. 427
Index	p. 447
Table of Contents provided by Ingram. All Rights Reserved.

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