Proteomics in Cancer Research covers both the basic principles of proteomics along with detailed presentations of new and emerging technology that represent promising breakthroughs in cancer prevention and treatment.

The topics covered include:

• Basic concepts, including setting up a proteomics laboratory, mass spectrometry, protein separations, protein array technologies, and informatics tools
• Application of emerging technologies to proteomic analysis of cancer cells and tissues, including discussion of critical issues such as characteristics of cancer cell proteomes and protein-protein interactions
• Application of proteomics approaches in clinical cancer research and a forecast of future research and applications

In most cases, applications of methods in basic and translational cancer research that are discussed in the text represent the first uses of these proteomics approaches to study any disease.

Critical issues that readers in cancer research need to understand are covered in detail, including:

• Advantages and limitations of different technologies
• New approaches to the molecular classification of tumors
• Discovery of new biomarkers and imaging targets and development of new proteomic platforms for profiling and screening

Contents

1. Essential Elements of a Proteomics Laboratory
2. Mass Spectrometry Tools for Proteomics
3. Gel-Based Proteomics: An Essential Core Technology in Translational Cancer Research
4. 2D Gel-Based Proteomic Analysis of Cancer
5. Analysis of Protein Posttranslational Modifications and Protein Adducts
6. Bioinformatics Tools for Proteomics
7. Tissue Profiling and Imaging by Matrix-Assisted Laser Desorption Ionization Mass Spectrometry
8. SELDI-TOF Applications for Cancer and Toxicity Detection
9. Protein Microarrays: Applications for Discovery and Quantitation
10. Protein Arrays for Clinical Proteomics and Signal Transduction Profiling
11. Tissue Microarrays in Basic Cancer Research
12. Structural Proteomics: High Throughput Structure Determination of Whole Organism Genomes

Index

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