Chapter title |
NMR and MS methods for metabonomics.
|
---|---|
Chapter number | 24 |
Book title |
Drug Safety Evaluation
|
Published in |
Methods in molecular biology, January 2011
|
DOI | 10.1007/978-1-60761-849-2_24 |
Pubmed ID | |
Book ISBNs |
978-1-60327-186-8, 978-1-60761-849-2
|
Authors |
Frank Dieterle, Björn Riefke, Götz Schlotterbeck, Alfred Ross, Hans Senn, Alexander Amberg, Dieterle, Frank, Riefke, Björn, Schlotterbeck, Götz, Ross, Alfred, Senn, Hans, Amberg, Alexander |
Abstract |
Metabonomics, also often referred to as "metabolomics" or "metabolic profiling," is the systematic profiling of metabolites in bio-fluids or tissues of organisms and their temporal changes. In the last decade, metabonomics has become increasingly popular in drug development, molecular medicine, and other biotechnology fields, since it profiles directly the phenotype and changes thereof in contrast to other "-omics" technologies. The increasing popularity of metabonomics has been possible only due to the enormous development in the technology and bioinformatics fields. In particular, the analytical technologies supporting metabonomics, i.e., NMR, LC-MS, UPLC-MS, and GC-MS have evolved into sensitive and highly reproducible platforms allowing the determination of hundreds of metabolites in parallel. This chapter describes the best practices of metabonomics as seen today. All important steps of metabolic profiling in drug development and molecular medicine are described in great detail, starting from sample preparation, to determining the measurement details of all analytical platforms, and finally, to discussing the corresponding specific steps of data analysis. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Italy | 1 | 2% |
South Africa | 1 | 2% |
Canada | 1 | 2% |
Denmark | 1 | 2% |
United States | 1 | 2% |
Unknown | 43 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 18 | 38% |
Researcher | 9 | 19% |
Professor > Associate Professor | 3 | 6% |
Student > Bachelor | 2 | 4% |
Student > Master | 2 | 4% |
Other | 5 | 10% |
Unknown | 9 | 19% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 9 | 19% |
Medicine and Dentistry | 7 | 15% |
Chemistry | 6 | 13% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
Other | 6 | 13% |
Unknown | 12 | 25% |