Titlebook: Metabonomics; Methods and Protocol Jacob T. Bjerrum Book 2015 Springer Science+Business Media New York 2015 capillary electrophoresis-mass

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High-Resolution Magic-Angle-Spinning NMR Spectroscopy of Intact Tissue, sample. This method requires minimal sample preparation. However, it is important to handle the sample with care and keep it frozen during preparation to minimize degradation. Here, we describe a typical protocol for HR-MAS analysis of intact tissue. We also include examples of typical pulse sequen

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Liquid Chromatography-Mass Spectrometry of Biofluids and Extracts, Liquid chromatography-mass spectrometry (LC-MS) is one of the most commonly employed analytical platforms for this purpose. As the sample pretreatment is detailed in the former chapter, we here describe the practical procedures for the LC-MS-based metabolic profiling of biological samples including

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,Sample Collection and Preparation of Biofluids and Extracts for Gas Chromatography–Mass Spectrometrdardized, including sample collection, storage, preparation, and sample separation. Moreover, the prerequisite for any GC-MS analysis is that a compound must be volatile and thermally stable if it is to be analyzed using this technique. Since many metabolites are nonvolatile and polar in nature, the

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,Gas Chromatography–Mass Spectrometry of Biofluids and Extracts,ion about the metabolism of the whole body and from multiple regions of the body that can be used to study general health status and organ function. Blood serum and blood plasma, for example, can provide a comprehensive picture of the whole body, while urine can be used to monitor the function of th

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Preprocessing of Raw Metabonomic Data,cal techniques such as nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS). The raw data acquired from these instruments are abundant with technical and structural complexity, which makes it statistically difficult to extract meaningful information. Preprocessing involves variou

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Combining Metabonomics and Other -omics Data, system as well as improved prediction models for diagnostic applications compared to information derived from a single molecular profiling platform. In this chapter we outline analysis strategies for characterization of the genetic drivers of metabolism, joint pathway analysis in metabonomic and tr