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Issue 10, 2017
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A cross-platform metabolomics workflow for volume-restricted tissue samples: application to an animal model for polycystic kidney disease

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Abstract

Metabolic profiling provides an unbiased view of the physiological status of an organism as a “function” of the metabolic composition of a measured sample. Here, we propose a simple LC-MS based workflow for metabolic profiling of volume-restricted samples, namely individual 20 μm-thick histological sections of a mouse kidney. The main idea of this workflow is to re-use the material after an RPLC-MS run, namely using the volume remaining in the vial after injection, and then introducing a phase changing step to enable HILIC-MS analysis. To test the applicability of the workflow and its ability to extract valuable biological information, we applied it to an animal model of polycystic kidney disease (PKD).

Graphical abstract: A cross-platform metabolomics workflow for volume-restricted tissue samples: application to an animal model for polycystic kidney disease

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Publication details

The article was received on 24 Apr 2017, accepted on 24 Jul 2017 and first published on 02 Aug 2017


Article type: Communication
DOI: 10.1039/C7MB00245A
Citation: Mol. BioSyst., 2017,13, 1940-1945
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    A cross-platform metabolomics workflow for volume-restricted tissue samples: application to an animal model for polycystic kidney disease

    E. Sánchez-López, H. Happé, E. Steenvoorden, A. L. Crego, M. L. Marina, D. J. M. Peters and O. A. Mayboroda, Mol. BioSyst., 2017, 13, 1940
    DOI: 10.1039/C7MB00245A

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