Reference : Intracellular metabolite profiling of platelets: evaluation of extraction processes a...
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Intracellular metabolite profiling of platelets: evaluation of extraction processes and chromatographic strategies.
Paglia, Giuseppe [> >]
Magnusdottir, Manuela [> >]
Thorlacius, Steinunn [> >]
Sigurjonsson, Olafur E. [> >]
Guethmundsson, Sveinn [> >]
Palsson, Bernhard O. [> >]
Thiele, Ines mailto [> >]
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences
Yes (verified by ORBilu)
[en] Blood Platelets/chemistry/metabolism ; Chemical Fractionation/methods ; Chromatography, Liquid/methods ; Humans ; Mass Spectrometry ; Metabolome ; Metabolomics/methods ; Methanol ; Principal Component Analysis ; Reproducibility of Results ; Water
[en] An extraction method for intracellular metabolite profiling should ideally be able to recover the broadest possible range of metabolites present in a sample. However, the development of such methods is hampered by the diversity of the physico-chemical properties of metabolites as well as by the specific characteristics of samples and cells. In this study, we report the optimization of an UPLC-MS method for the metabolite analysis of platelet samples. The optimal analytical protocol was determined by testing seven different extraction methods as well as by employing two different LC-MS methods, in which the metabolites were separated by using hydrophilic interaction liquid chromatography (HILIC) and reversed phase liquid chromatography (RPLC). The optimal conditions were selected using the coverage of the platelets' metabolome, the response of the identified metabolites, the reproducibility of the analytical method, and the time of the analysis as main evaluation criteria. Our results show that methanol-water (7:3) extraction coupled with HILIC-MS method provides the best compromise, allowing identification of 107 metabolites in a platelet cell extract sample, 91% of them with a RSD% lower than 20. A higher number of metabolites could be detected when analyzing the platelet samples with two different LC-MS methods or when using complementary extraction methods in parallel.
Copyright (c) 2012 Elsevier B.V. All rights reserved.

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