publication info
J.A. Warrington, et al., ed., Eaton Publishing, 2002, 177 pp., soft cover
manufacturer/tradename
Eaton Publishing
General description
This book presents current advances in the application of microarray technology to the most active areas of cancer research, elaborating on the importance of this technology for understanding the causes of cancer and future treatment possibilities. It presents the first step on the path toward key discoveries that will lead to a better understanding of the causes of cancer, new biomarkers and drug targets. Topics addressed include: spotted array production, synthesized arrays with cancer applications, tissue collection for microarrays, microarray analysis of solid tumors, and bioinformatics in micorarray expression analysis technology
Table of Contents
Introduction: Reading the Molecular Signatures of Cancer
Section I: Expression Analysis Using Microarrays
1. Spotted Arrays: Technology Overview
2. Monitoring Gene Expression in Human Cancer Using Synthetic Oligonucleotide Arrays
3. Bioinformatics in Microarray Expression Analysis Technology
Section II: Experimental Approaches for Microarray Analysis in Tumor Biology
4. Tumor Cell Biology, Cell Lines: Identification of Statistically Robust Gene Expression Patterns in Model Cell Lines and Their Use in Functional Expression Data Mining
5. Tumor Classification: Gene Analysis Using DNA Microarrays
Section III: Microarray Analysis of Human Solid Tumors
6. Tumor Biology and Microarray Analysis of Solid Tumors: Colorectal Cancer as a Model System
7. Gene Expression Changes in Endometrial Cancer B
8. Gene Expression Analysis of Ovarian Cancer Cells by cDNA Microarrays
9. Solid Tumors: Microarray Analysis of Oral Cancer
Section I: Expression Analysis Using Microarrays
1. Spotted Arrays: Technology Overview
2. Monitoring Gene Expression in Human Cancer Using Synthetic Oligonucleotide Arrays
3. Bioinformatics in Microarray Expression Analysis Technology
Section II: Experimental Approaches for Microarray Analysis in Tumor Biology
4. Tumor Cell Biology, Cell Lines: Identification of Statistically Robust Gene Expression Patterns in Model Cell Lines and Their Use in Functional Expression Data Mining
5. Tumor Classification: Gene Analysis Using DNA Microarrays
Section III: Microarray Analysis of Human Solid Tumors
6. Tumor Biology and Microarray Analysis of Solid Tumors: Colorectal Cancer as a Model System
7. Gene Expression Changes in Endometrial Cancer B
8. Gene Expression Analysis of Ovarian Cancer Cells by cDNA Microarrays
9. Solid Tumors: Microarray Analysis of Oral Cancer
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