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About the Metabolomics Team

metabolic pathways, including the Kreb's cycle and glycolysis
The Metabolomics Team uses state-of-art high-performance metabolic profiling capabilities to provide detailed metabolomics data for plasma and associated cellular fractions collected in the course of non-human primate malaria infections and within plasma or serum from humans infected with malaria parasites. The technology enables the detection, analysis and associations of thousands of chemicals detectable in the blood via mass spectrometry. Results are provided in the form of annotated data tables consisting of high-resolution m/z with associated retention time and analytic conditions, and metabolite identifiers from the KEGG database. Ion fragmentation and other chemical identification approaches are used to confirm identity of m/z, and quantification relative to authentic standards is pursued for metabolites associated with infection and/or progression. 

References

Johnson, J.M., Yu, T., Strobel, F.H., Jones, D.P. (2010). "A practical approach to detect unique metabolic patterns for personalized medicine." Analyst, 135:(11) 2864-2870. View in PubMed

Park, Y.H., Lee, K., Soltow, Q.A., Strobel, F.H., Brigham, K.L., Parker, R.E., Wilson, M.E., Sutliff, R.L., Mansfield, K.G., Wachtman, L.M., Ziegler, T.R., Jones, D.P. (20120. "High-performance metabolic profiling of plasma from seven mammalian species for simultaneous environmental chemical surveillance and bioeffect monitoring." Toxicology, 295(1-3):47-55. View in PubMed

Soltow, Q.A., Strobel, F.H., Mansfield, K.G., Wachtman, L., Park, Y., Jones, D.P. (2011). "High-performance metabolic profiling with dual chromatography-Fourier-transform mass spectrometry (DC-FTMS) for study of the exposome." Metabolomics. View in PubMed

Uppal, K., Soltow, Q.A., Strobel, F.H., Pittard, W.S., Gernert, K.M., Yu, T., Jones, D.P.. "xMSanalyzer: automated pipeline for improved feature detection and downstream analysis of large-scale, non-targeted metabolomics data." BMC Bioinformatics, 14(1): 15. View in PubMed

Yu, T., Park, Y., Johnson, J.M., Jones, D.P. (2009). "apLCMS--adaptive processing of high-resolution LC/MS data." Bioinformatics, 25(15):1930-1936. View in PubMed