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dc.contributor.authorBirungi, Grace
dc.contributor.authorMeijie Chen, Sheryl
dc.contributor.authorPheng Loy, Boon
dc.contributor.authorNg, Mah Lee
dc.contributor.authorYau Li, Sam Fong
dc.date.accessioned2022-12-29T10:48:03Z
dc.date.available2022-12-29T10:48:03Z
dc.date.issued2010
dc.identifier.citationBirungi, G., Chen, S. M., Loy, B. P., Ng, M. L., & Li, S. F. Y. (2010). Metabolomics approach for investigation of effects of dengue virus infection using the EA. hy926 cell line. Journal of proteome research, 9(12), 6523-6534. Doi: 10.1021/pr100727men_US
dc.identifier.other10.1021/pr100727m
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/6727
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherJournal of proteome researchen_US
dc.subjectDengueen_US
dc.subjectMetabolomicsen_US
dc.subjectMetabolic profilingen_US
dc.subjectEA.hy926en_US
dc.subject1H NMRen_US
dc.subjectMSen_US
dc.titleMetabolomics Approach for Investigation of Effects of Dengue Virus Infection Using the EA.hy926 Cell Lineen_US
dc.typeArticleen_US


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