Please use this identifier to cite or link to this item: https://doi.org/10.1021/pr100727m
Title: Metabolomics approach for investigation of effects of dengue virus infection using the EA.hy926 cell line
Authors: Birungi, G.
Chen, S.M.
Loy, B.P.
Ng, M.L.
Li, S.F.Y. 
Issue Date: 3-Dec-2010
Source: Birungi, G., Chen, S.M., Loy, B.P., Ng, M.L., Li, S.F.Y. (2010-12-03). Metabolomics approach for investigation of effects of dengue virus infection using the EA.hy926 cell line. Journal of Proteome Research 9 (12) : 6523-6534. ScholarBank@NUS Repository. https://doi.org/10.1021/pr100727m
Abstract: This paper describes a multiplatform analytical approach combining proton nuclear magnetic resonance (1H NMR) spectroscopy and mass spectrometry (MS), together with pattern recognition tools in a metabolomic study used to investigate the effects of dengue virus infection. The four serotypes of dengue, DEN-1, DEN-2, DEN-3, and DEN-4, were inoculated into the EA.hy926 cell line, which was then incubated for various time intervals. Principal component analysis (PCA) of the 1H NMR and MS data revealed metabolic profile patterns or fingerprint patterns that can be attributed to specific virus serotypes. Distinct effects of infection by each serotype were demonstrated, and these differences were attributed to changes in levels of metabolites (including amino acids, dicarboxylic acids, fatty acids, and organic acids related to the tricarboxylic acid (TCA) cycle). The study demonstrated application of metabolomics to improve understanding of the effect of dengue infection on endothelial cells' metabolome. © 2010 American Chemical Society.
Source Title: Journal of Proteome Research
URI: http://scholarbank.nus.edu.sg/handle/10635/94207
ISSN: 15353893
DOI: 10.1021/pr100727m
Appears in Collections:Staff Publications

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