The Handbook of Metabonomics and MetabolomicsMolecular 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). These "omics" methods form the basis for understanding biology at a systems level. The Handbook of Metabonomics and Metabolomics aims to be the definitive work on the rapidly expanding subjects of metabolic profiling, metabolite and biomarker identification, encompassing the fields of metabonomics and metabolomics. It covers the principles of the subject, the analytical and statistical techniques used and the wide variety of applications. * comprehensive description of an approach (metabonomics) to characterise the endogenous metabolites in a living system, complementing gene and protein studies * aims to be the definitive work on the rapidly expanding subjects of metabolic profiling, metabolite and biomarker identification * covers the principles of the subject, the analytical and statistical techniques used and the wide variety of applications. |
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Contents
| 1 | |
| 35 | |
| 55 | |
| 113 | |
| 149 | |
Chapter 6 Chemometrics Techniques for Metabonomics | 171 |
Chapter 7 Nonlinear Methods for the Analysis of Metabolic Profiles | 201 |
Chapter 8 Databases and Standardisation of Reporting Methods for Metabolic Studies | 227 |
Chapter 12 Metabolite Profiling and Cardiovascular Disease | 327 |
Chapter 13 The Role of NMRbased Metabolomics in Cancer | 345 |
Chapter 14 NMR Spectroscopy of Body Fluids as a Metabolomics Approach to Inborn Errors of Metabolism | 375 |
Chapter 15 A Survey of Metabonomics Approaches for Disease Characterisation | 413 |
Applications in Plant Science | 443 |
Chapter 17 In vivo NMR Applications of Metabonomics | 489 |
Chapter 18 Applications of Metabonomics Within Environmental Toxicology | 517 |
Chapter 19 Global Systems Biology Through Integration of Omics Results | 533 |
Chapter 9 Metabonomics in Preclinical Pharmaceutical Discovery and Development | 241 |
Chapter 10 Applications of Metabonomics in Clinical Pharmaceutical RD | 279 |
Three Venues | 289 |
Index | 557 |
Common terms and phrases
1H NMR spectra 1H NMR spectroscopy acid Anal analysis analytical animals applications approach biochemical biofluids biological biomarkers Biomed blood plasma body fluids cancer cell changes Chem chemical shift chemometric chromatography clinical complex components compounds concentration correlation creatinine detection diagnosis dipolar coupling disease drug effects enzyme errors of metabolism example Figure function GC-MS gene genetic genomics glucose gradient high-resolution Holmes hr-MAS HSQC human identified inborn errors integrated interactions investigation J-coupling J.C. Lindon J.K. Nicholson levels Lindon lipid liver magic angle spinning Magn magnetic resonance spectroscopy mass spectrometry measured metabolite profiling metabonomic studies metabonomics methods molecular molecules multivariate networks NMR spectroscopy normal nuclear magnetic resonance omics parameters patients peaks phenotypes plant potential prediction protein proteomics proton proton NMR pulse sequence rats screening sensitivity serum signal specific spectrum structure systems biology techniques tissue toxicity transcriptomics urinary urine variables variation vivo
Popular passages
Page 239 - Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., Aach, J., Ansorge, W., Ball, CA, Causton, HC...
Page 239 - Spellman, PT, Miller, M., Stewart, J., Troup, C., Sarkans, U., Chervitz, S., Bernhart, D., Sherlock, G., Ball, C., Lepage, M., Swiatek, M., Marks, WL, Goncalves, J., Markel, S...
Page 374 - DN (2003). Gene expression-based classification of malignant gliomas correlates better with survival than histological classification.
Page 342 - JL. 1992. Severe hypercholesterolemia and atherosclerosis in apolipoprotein E-deficient mice created by homologous recombination in ES cells.
Page 238 - Pedrioli, PG, Eng, JK, Hubley, R., Vogelzang, M., Deutsch, EW, Raught, B., Pratt, B., Nilsson. E., Angeletti, RH, Apweiler. R., Cheung. K., Costello, CE, Hermjakob, H., Huang, S., Julian. RK, Kapp, E., McComb, ME, Oliver, SG, Omenn. G., Paton. NW, Simpson. R., Smith, R., Taylor, CF, Zhu, W., and Aebersold, R.
Page 238 - KOPKA J, LANE GA, LANGE BM. Liu JR. MENDES P. NIKOLAU BJ, OLIVER SG. PATON NW, RHEE S. ROESSNER-TUNALI U. SAITO K. SMEDSGAARD J, SUMNER LW. WANG T, WALSH S.
Page 239 - Waters, M., Boorman, G., Bushel, P., Cunningham, M., Irwin, R., Merrick, A., Olden, K., Paules, R., Selkirk, J., Stasiewicz, S., Weis, B., Van Houten, B., Walker, N., Tennant, R.


