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Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage

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Metabolic Profiling

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1738))

Abstract

The use of tissue as a matrix to elucidate disease pathology or explore intervention comes with several advantages. It allows investigation of the target alteration directly at the focal location and facilitates the detection of molecules that could become elusive after secretion into biofluids. However, tissue metabolomics/metabonomics comes with challenges not encountered in biofluid analyses. Furthermore, tissue heterogeneity does not allow for tissue aliquoting. Here we describe a multiplatform, multi-method workflow which enables metabolic profiling analysis of tissue samples, while it can deliver enhanced metabolome coverage. After applying a dual consecutive extraction (organic followed by aqueous), tissue extracts are analyzed by reversed-phase (RP-) and hydrophilic interaction liquid chromatography (HILIC-) ultra-performance liquid chromatography coupled to mass spectrometry (UPLC-MS) and nuclear magnetic resonance (NMR) spectroscopy. This pipeline incorporates the required quality control features, enhances versatility, allows provisional aliquoting of tissue extracts for future guided analyses, expands the range of metabolites robustly detected, and supports data integration. It has been successfully employed for the analysis of a wide range of tissue types.

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Acknowledgments

This research was supported by the Royal Society of Chemistry and National Institute for Health Research (NIHR) Biomedical Research Centre (BRC) based at Imperial College Healthcare NHS Trust and Imperial College London. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health. MRAU is funded by the Imperial College President’s PhD Scholarship and the Stratified Medicine Graduate Training Programme in Systems Medicine and Spectroscopic Profiling (STRATiGRAD).

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Authors and Affiliations

  1. Section of Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK

    Panagiotis A. Vorkas, M. R. Abellona U & Jia V. Li

  2. Centre for Digestive and Gut Health, Institute of Global Health Innovation, Imperial College London, London, UK

    Jia V. Li

Authors
  1. Panagiotis A. Vorkas
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  2. M. R. Abellona U
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  3. Jia V. Li
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Corresponding author

Correspondence to Panagiotis A. Vorkas .

Editor information

Editors and Affiliations

  1. Department of Chemistry, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Georgios A. Theodoridis

  2. School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Helen G. Gika

  3. Department of Surgery and Cancer, Imperial College London, London, United Kingdom

    Ian D. Wilson

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Vorkas, P.A., Abellona U, M.R., Li, J.V. (2018). Tissue Multiplatform-Based Metabolomics/Metabonomics for Enhanced Metabolome Coverage. In: Theodoridis, G., Gika, H., Wilson, I. (eds) Metabolic Profiling. Methods in Molecular Biology, vol 1738. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7643-0_17

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  • DOI: https://doi.org/10.1007/978-1-4939-7643-0_17

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7642-3

  • Online ISBN: 978-1-4939-7643-0

  • eBook Packages: Springer Protocols

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