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LC–MS-based absolute metabolite quantification: application to metabolic flux measurement in trypanosomes

Kim, Dong-Hyun; Achcar, Fiona; Breitling, Rainer; Burgess, Karl; Barrett, Michael

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Authors

Fiona Achcar

Rainer Breitling

Karl Burgess

Michael Barrett



Abstract

Human African trypanosomiasis is a neglected tropical disease caused by the protozoan parasite, Trypanosoma brucei. In the mammalian bloodstream, the trypanosome’s metabolism differs significantly from that of its host. For example, the parasite relies exclusively on glycolysis for energy source. Recently, computational and mathematical models of trypanosome metabolism have been generated to assist in understanding the parasite metabolism with the aim of facilitating drug development. Optimisation of these models requires quantitative information, including metabolite concentrations and/or metabolic fluxes that have been hitherto unavailable on a large scale. Here, we have implemented an LC–MS-based method that allows large scale quantification of metabolite levels by using U-13C-labelled E. coli extracts as internal standards. Known amounts of labelled E. coli extract were added into the parasite samples, as well as calibration standards, and used to obtain calibration curves enabling us to convert intensities into concentrations. This method allowed us to reliably quantify the changes of 43 intracellular metabolites and 32 extracellular metabolites in the medium over time. Based on the absolute quantification, we were able to compute consumption and production fluxes. These quantitative data can now be used to optimise computational models of parasite metabolism.

Journal Article Type Article
Acceptance Date Jun 25, 2015
Online Publication Date Jul 9, 2015
Publication Date Dec 22, 2015
Deposit Date May 23, 2018
Publicly Available Date Feb 11, 2019
Publisher BMC
Peer Reviewed Peer Reviewed
Volume 11
Issue 6
Pages 1721-1732
DOI https://doi.org/10.1007/s11306-015-0827-2
Public URL https://nottingham-repository.worktribe.com/output/1104290
Publisher URL https://link.springer.com/article/10.1007%2Fs11306-015-0827-2

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