Cancer Gene Profiling: Methods and Protocols

ISBN-13: 9781617796593 / Angielski / Miękka / 2012 / 452 str.

Grützmann, Robert

Opis

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.

Recenzje

From the reviews:

"The team of over 60 contributors put together an impressive compilation, covering a whole process of genetic analysis of cancer tissue ... . Usefulness of the book is increased by the fact that most of the methods are optimized for real-life clinical tissue samples not just cell lines. ... All in all, this book clearly demonstrated that the molecular methods used in the diagnosis and research of cancer, and of any other disease for that matter, entered the 21st century." (J. Markus, Neoplasma, March, 2011)

Spis treści

Cancer Gene Profiling: Methods and Protocols Robert Grützmann and Christian Pilarsky, eds. Table of Contents Preface Contributors 1. Organizational Issues in Providing High Quality Human Tissues and Clinical Information for the Support of Biomedical Research Walter C. Bell, Katherine C. Sexton and William E. Grizzle 2. Manual microdissection Glen Kristiansen 3. Laser Microdissection Anja Rabien 4. Tissue Microarrays Ana-Maria Dancau, Ronald Simon, Martina Mirlacher and Guido Sauter 5. A Decade of Cancer Gene Profiling: From Molecular Portraits to Molecular Function Henri Sara, Olli Kallioniemi and Matthias Nees 6. Mining EST libraries for cancer associated genes Armin Schmitt 7. Automated fluorescent differential display (FDD) for cancer gene profiling Jonathan D. Meade, Yong-jig Cho, Blake R. Shester, Jamie C. Walden, Zhen Guo and Peng Liang 8. Manual microdissection combined with aRNA-longSAGE for the analysis of limited cell numbers Jutta Lüttges, Stephan A. Hahn and Anna M. Heidenblut 9. Quantitative DNA Methylation Profiling on a High Density Oligonucleotide Microarray Anne Fassbender, Jörn Lewin, Thomas König, Tamas Rujan, Cecile Pelet, Ralf Lesche, Jürgen Distler and Matthias Schuster 10. SNP analysis to associate cancer risk Julie Earl and William Greenhalf 11. Application of proteomics in cancer gene profiling: 2D-DIGE Deepak Hariharan, Mark E Weeks and Tatjana Crnogorac-Jurcevic 12. Search for and Identification of Novel Tumor associated Autoantigens Karsten Conrad, Holger Bartsch, Ulrich Canzler, Christian Pilarsky, Robert Grützmann and Michael Bachmann 13. Integrative Oncogenomic Analysis OfMicroarray Data In Hematologic Malignancies Jose A Martínez-Climent, Lorena Fontan, Vicente Fresquet, Eloy Robles, María Ortiz and Angel Rubio 14. Cancer gene profiling in pancreatic cancer Felip Vilardell Villellas and Christine A. Iacobuzio-Donahue 15. Cancer Gene Profiling in Prostate Cancer Adam Foye and Phillip G. Febbo 16. Cancer Gene Profiling for Response Prediction B. Michael Ghadimi and Marian Grade 17. The EGFR pathway as an example for genotype – phenotype correlation in tumor genes Ulrike Mogck, Eray Goekkurt and Jan Stoehlmacher 18. Quantitation of CD39 gene expression in pancreatic tissue by real-time polymerase chain reaction (qRT-PCR) Martin Loos, Beat Künzli, and Helmut Friess 19: Functional profiling methods in cancer Joaquín Dopazo 20: Calibration of microarray gene-expression data Hans Binder, Stephan Preibisch and Hilmar Berger 21. Meta-analysis of Cancer Gene Profiling Data Xinan Yang and Xiao Sun 22. Target gene discovery for novel therapeutic agents in cancer treatment Ole Ammerpohl, Sanjay Tiwari and Holger Kalthoff