


Gene Expression Profiling by Microarrays. Clinical Implications
Hofmann, W.
1ª Edición Junio 2006
Inglés
Tapa dura
262 pags
0 gr
17 x 25 x cm
ISBN 9780521853965
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Recíbelo en un plazo De 2 a 3 semanas
Microarray analysis is a highly efficient tool for assessing the expression of
a large number of genes simultaneously, and offers a new means to classify cancer
and other diseases. Gene expression profiling can also be used to predict clinical
outcome and response to specific therapeutic agents. This survey spans recent
applications of microarrays in clinical medicine, covering malignant disease including
acute leukaemias, lymphoid malignancies and breast cancer, together with diabetes
and heart disease. Investigators in oncology, pharmacology and related clinical
sciences, as well as basic scientists, will value this review of a promising new
diagnostic and prognostic technology.
• Introduces microarrays as a diagnostic and prognostic technology • Surveys clinical applications in a range of malignant and non-malignant diseases • Leading edge scientists contribute from major centres
Contents
- Preface Eckhard Thiel;
- 1. Introduction Wolf-Karsten Hofmann;
- 2. Technique of microarrays: microarray platforms Sven de Vos;
- 3. Quantitative quality control of microarray experiments: toward accurate gene expression measurements Xujing Wang and Martin J. Hessner;
- 4. Statistical analysis of gene expression data David A. Elashoff;
- 5. Genomic stratification in patients with heart failure Tara A. Bullard, Frédérick Aguilar, Jennifer L. Hall and Burns C. Blaxall;
- 6. Gene expression profiling for the diagnosis of acute leukemias Torsten Haferlach, Alexander Kohlmann, Susanne Schnittger, Claudia Schoch and Wolfgang Kern;
- 7. Gene expression profiling can distinguish tumour subclasses of breast carcinomas Ingrid A. Hedenfalk;
- 8. Gene expression profiling in lymphoid malignancies Christof Burek, Elena Hartmann, Zhengrong Mao, German Ott and Andreas Rosenwald;
- 9. MRNA profiling of pancreatic beta cells: investigating mechanisms of diabetes Leentje Van Lommel, Yves Moreau, Daniel Pipeleers, Jean-Christophe Jonas and Frans Schuit;
- 10. Prediction of response and resistance to treatment by gene expression profiling Philipp Kiewe and Wolf-Karsten Hofmann.
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