Abstract
Phytochemicals are under intensive investigation for their potential use as chemopreventive agents in blocking or suppressing carcinogenesis. Metabolic interactions between phytochemical and biological system play an important role in determining the efficacy and toxicity of chemopreventive phytochemicals. However, complexities of phytochemical biotransformation and intermediary metabolism pose challenges for studying phytochemical-elicited metabolic events. Metabolomics has become a highly effective technical platform to detect subtle changes in a complex metabolic system. Here, using green tea polyphenols as an example, we describe a workflow of LC-MS-based metabolomics study, covering the procedures and techniques in sample collection, preparation, LC-MS analysis, data analysis, and interpretation.
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Acknowledgements
Research projects in Dr. Chi Chen’s lab are supported in part by an Agricultural Experiment Station project MIN-18-082 from the United States Department of Agriculture (USDA). We thank all the members in Dr. Chi Chen’s lab for their help in preparing this protocol.
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Wang, L., Yao, D., Chen, C. (2016). LC-MS-Based Metabolomic Investigation of Chemopreventive Phytochemical-Elicited Metabolic Events. In: Strano, S. (eds) Cancer Chemoprevention. Methods in Molecular Biology, vol 1379. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-3191-0_7
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DOI: https://doi.org/10.1007/978-1-4939-3191-0_7
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-3190-3
Online ISBN: 978-1-4939-3191-0
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