NDLI: Analytical and statistical approaches to metabolomics research.

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Analytical and statistical approaches to metabolomics research.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Issaq, Haleem J. Van, Que N. Waybright, Timothy J. Muschik, Gary M. Veenstra, Timothy D.
Description	Country affiliation: United States Author Affiliation: Issaq HJ ( Laboratory of Proteomics and Analytical Technologies, Advanced Technology Program, SAIC-Frederick, Inc., NCI-Frederick, Frederick, MD, USA. issaqh@mail.ncifcrf.gov)
Abstract	Metabolomics, the global profiling of metabolites in different living systems, has experienced a rekindling of interest partially due to the improved detection capabilities of the instrumental techniques currently being used in this area of biomedical research. The analytical methods of choice for the analysis of metabolites in search of disease biomarkers in biological specimens, and for the study of various low molecular weight metabolic pathways include NMR spectroscopy, GC/MS, CE/MS, and HPLC/MS. Global metabolite analysis and profiling of two different sets of data results in a plethora of data that is difficult to manage or interpret manually because of their subtle differences. Multivariate statistical methods and pattern-recognition programs were developed to handle the acquired data and to search for the discriminating features between data acquired from two sample sets, healthy and diseased. Metabolomics have been used in toxicology, plant physiology, and biomedical research. In this paper, we discuss various aspects of metabolomic research including sample collection, handling, storage, requirements for sample analysis, peak alignment, data interpretation using statistical approaches, metabolite identification, and finally recommendations for successful analysis.
File Format	HTM / HTML
ISSN	16159306
Issue Number	13
Volume Number	32
e-ISSN	16159314
Journal	Journal of Separation Science
Language	English
Publisher	Wiley-VCH
Publisher Date	2009-07-01
Publisher Place	Germany
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Analytical Discipline Chemistry Biological Markers Analysis Biomedical Research Methods Metabolomics Chromatography, High Pressure Liquid Instrumentation Electrophoresis, Capillary Gas Chromatography-mass Spectrometry Humans Nuclear Magnetic Resonance, Biomolecular Software Specimen Handling Journal Article Research Support, N.i.h., Extramural Review
Content Type	Text
Resource Type	Article
Subject	Analytical Chemistry Filtration and Separation

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