Abstract
Blood is a widely used biofluid in discovery metabolomic research to search for clinical metabolite biomarkers of diseases. Analyzing the entire human blood metabolome is a major analytical challenge, as blood, after being processed into serum or plasma, contains thousands of metabolites with diverse chemical and physical properties as well as a wide range of concentrations. We describe an enabling method based on high-performance chemical isotope labeling (CIL) liquid chromatography-mass spectrometry (LC-MS) for in-depth quantification of the metabolomic differences in comparative blood samples with high accuracy and precision.
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References
Guo K, Li L (2009) Differential C-12/C-13-isotope dansylation labeling and fast liquid chromatography/mass spectrometry for absolute and relative quantification of the metabolome. Anal Chem 81(10):3919–3932. https://doi.org/10.1021/ac900166a
Guo K, Li L (2010) High-performance isotope labeling for profiling carboxylic acid-containing metabolites in biofluids by mass spectrometry. Anal Chem 82(21):8789–8793. https://doi.org/10.1021/ac102146g
Zhao S, Luo X, Li L (2016) Chemical isotope labeling LC-MS for high coverage and quantitative profiling of the hydroxyl submetabolome in metabolomics. Anal Chem 88(21):10617–10623. https://doi.org/10.1021/acs.analchem.6b02967
Zhao S, Dawe M, Guo K, Li L (2017) Development of high-performance chemical isotope labeling LC-MS for profiling the carbonyl submetabolome. Anal Chem 89:6758–6765. https://doi.org/10.1021/acs.analchem.7b01098
Peng J, Chen YT, Chen CL, Li L (2014) Development of a universal metabolome-standard method for long-term LC-MS metabolome profiling and its application for bladder cancer urine-metabolite-biomarker discovery. Anal Chem 86(13):6540–6547. https://doi.org/10.1021/ac5011684
Zhou R, Tseng CL, Huan T, Li L (2014) IsoMS: automated processing of LC-MS data generated by a chemical isotope labeling metabolomics platform. Anal Chem 86(10):4675–4679. https://doi.org/10.1021/ac5009089
Huan T, YM W, Tang CQ, Lin GH, Li L (2015) DnsID in MyCompoundID for rapid identification of dansylated amine- and phenol-containing metabolites in LC-MS-based metabolomics. Anal Chem 87(19):9838–9845. https://doi.org/10.1021/acs.analchem.5b02282
YM W, Li L (2012) Determination of total concentration of chemically labeled metabolites as a means of metabolome sample normalization and sample loading optimization in mass spectrometry-based metabolomics. Anal Chem 84(24):10723–10731. https://doi.org/10.1021/ac3025625
Huan T, Li L (2015) Counting missing values in a metabolite-intensity data set for measuring the analytical performance of a metabolomics platform. Anal Chem 87(2):1306–1313. https://doi.org/10.1021/ac5039994
Huan T, Li L (2015) Quantitative metabolome analysis based on chromatographic peak reconstruction in chemical isotope labeling liquid chromatography mass spectrometry. Anal Chem 87(14):7011–7016. https://doi.org/10.1021/acs.analchem.5b01434
Li L, Li RH, Zhou JJ, Zuniga A, Stanislaus AE, YM W, Huan T, Zheng JM, Shi Y, Wishart DS, Lin GH (2013) MyCompoundID: using an evidence-based metabolome library for metabolite identification. Anal Chem 85(6):3401–3408. https://doi.org/10.1021/ac400099b
Acknowledgment
This work was supported by Genome Canada, the Natural Sciences and Engineering Research Council of Canada (NSERC), and Canada Research Chairs (CRC) programs.
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Han, W., Li, L. (2018). Chemical Isotope Labeling LC-MS for Human Blood Metabolome Analysis. In: Giera, M. (eds) Clinical Metabolomics. Methods in Molecular Biology, vol 1730. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7592-1_14
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DOI: https://doi.org/10.1007/978-1-4939-7592-1_14
Publisher Name: Humana Press, New York, NY
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Online ISBN: 978-1-4939-7592-1
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