Chapter title |
NMR and MS Methods for Metabolomics
|
---|---|
Chapter number | 13 |
Book title |
Drug Safety Evaluation
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7172-5_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7170-1, 978-1-4939-7172-5
|
Authors |
Alexander Amberg, Björn Riefke, Götz Schlotterbeck, Alfred Ross, Hans Senn, Frank Dieterle, Matthias Keck |
Abstract |
Metabolomics, also often referred as "metabolic profiling," is the systematic profiling of metabolites in biofluids or tissues of organisms and their temporal changes. In the last decade, metabolomics has become more and more 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 metabolomics has been possible only due to the enormous development in the technology and bioinformatics fields. In particular, the analytical technologies supporting metabolomics, i.e., NMR, 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 metabolomics 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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 97 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 14 | 14% |
Student > Ph. D. Student | 12 | 12% |
Student > Bachelor | 12 | 12% |
Researcher | 10 | 10% |
Professor | 7 | 7% |
Other | 14 | 14% |
Unknown | 28 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 22 | 23% |
Chemistry | 11 | 11% |
Pharmacology, Toxicology and Pharmaceutical Science | 8 | 8% |
Agricultural and Biological Sciences | 7 | 7% |
Medicine and Dentistry | 7 | 7% |
Other | 12 | 12% |
Unknown | 30 | 31% |