The handbook of metabonomics and metabolomics /
Molecular biology operates at three levels genes, proteins and metabolites. This book is unique in that it provides a comprehensive description of an approach (metabonomics) to characterise the endogenous metabolites in a living system, complementing gene and protein studies (genomics and proteomics...
Call Number: | Libro Electrónico |
---|---|
Other Authors: | , , |
Format: | Electronic eBook |
Language: | Inglés |
Published: |
Amsterdam ; Oxford :
Elsevier,
2007.
|
Edition: | 1st ed. |
Subjects: | |
Online Access: | Texto completo |
Table of Contents:
- Chapter 1. Metabonomics and metabolomics techniques and their applications in mammalian systems.
- Chapter 2. Cellular metabolomics: the quest for pathway structure.
- Chapter 3. NMR spectroscopy techniques for application to metabonomics.
- Chapter 4. High-resolution magic angle spinning NMR spectroscopy.
- Chapter 5. Chromatographic and electrophoretic separations combined with mass spectrometry for metabonomics.
- Chapter 6. Chemometrics techniques for metabonomics.
- Chapter 7. Nonlinear chemometric methods for the analysis of metabolic profiles.
- Chapter 8. Databases and standardisation of reporting methods for metabolic studies.
- Chapter 9. Metabonomics in preclinical pharmaceutical discovery and development.
- Chapter 10. Metabolic applications in clinical pharmaceutical R & D.
- Chapter 11. Exploiting the potential of metabonomics in large population studies: three venues.
- Chapter 12. Metabolite profiling and cardiovascular disease.
- Chapter 13. The role of NMR-based metabolomics in cancer.
- Chapter 14. NMR spectroscopy of body fluids as a metabolomics approach to inborn errors of metabolism.
- Chapter 15. A survey of metabonomics approaches for disease characterisation.
- Chapter 16. Metabolic profiling: applications in plant science.
- Chapter 17. In vivo NMR applications of metabonomics.
- Chapter 18. Applications of metabonomics within environmental toxicology.
- Chapter 19. Global systems biology through integration of "omics" results.