Reference : Metabolic profiling of body fluids and multivariate data analysis
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Systems Biomedicine
http://hdl.handle.net/10993/30418
Metabolic profiling of body fluids and multivariate data analysis
English
Trezzi, Jean-Pierre mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Jäger, Christian mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Galozzi, Sara mailto [Functional Proteomics, Medizinisches Proteom-Center, Ruhr-University Bochum, Germany]
Barkovits, Katalin mailto [Functional Proteomics, Medizinisches Proteom-Center, Ruhr-University Bochum, Germany]
Marcus, Katrin mailto [Functional Proteomics, Medizinisches Proteom-Center, Ruhr-University Bochum, Germany]
Mollenhauer, Brit mailto [Goettingen University, Germany]
Hiller, Karsten mailto [TU Braunschweig > BRICS]
20-Feb-2017
MethodsX
Elsevier
4
1
95-103
Yes (verified by ORBilu)
International
2215-0161
Amsterdam
The Netherlands
[en] Metabolomics ; Metabolite extraction ; Blood ; Saliva ; Cerebrospinal fluid ; GC-MS ; Data analysis ; Body fluids
[en] Metabolome analyses of body fluids are challenging due pre-analytical variations, such as pre-processing delay and temperature, and constant dynamical changes of biochemical processes within the samples. Therefore, proper sample handling starting from the time of collection up to the analysis is crucial to obtain high quality samples and reproducible results. A metabolomics analysis is divided into 4 main steps: 1) Sample collection, 2) Metabolite extraction, 3) Data acquisition and 4) Data analysis.

Here, we describe a protocol for gas chromatography coupled to mass spectrometry (GC–MS) based metabolic analysis for biological matrices, especially body fluids. This protocol can be applied on blood serum/plasma, saliva and cerebrospinal fluid (CSF) samples of humans and other vertebrates. It covers sample collection, sample pre-processing, metabolite extraction, GC–MS measurement and guidelines for the subsequent data analysis.
Luxembourg Centre for Systems Biomedicine (LCSB)
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/30418
10.1016/j.mex.2017.02.004

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