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Michael P. Barrett

Researcher at University of Glasgow

Publications -  332
Citations -  15731

Michael P. Barrett is an academic researcher from University of Glasgow. The author has contributed to research in topics: Trypanosoma brucei & Metabolomics. The author has an hindex of 65, co-authored 318 publications receiving 13859 citations. Previous affiliations of Michael P. Barrett include University of Bordeaux & Wellcome Trust.

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Ms2lda.org: web-based topic modelling for substructure discovery in mass spectrometry.

TL;DR: Ms2lda.org is a web application that allows users to upload their data, run MS2LDA analyses and explore the results through interactive visualizations, and the user can also decompose a data set onto predefined Mass2Motifs.
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Roles for the Trypanosoma brucei P2 transporter in DB75 uptake and resistance

TL;DR: It is shown here that uptake of DB75 into Trypanosoma brucei also occurs principally via the P2 transporter, and that DB75 fluorescence localizes rapidly within the DNA-containing organelles of wild-type trypanosomes, whereas no fluorescence was observed in Δtbat1-null parasites or in the parasites selected for resistance to DB75.
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Trypanocidal Activity of Melamine-Based Nitroheterocycles

TL;DR: A series of nitroheterocyclic compounds designed with linkages to melamine or benzamidine groups that are known substrates of the P2 aminopurine and other transporters in African trypanosomes of the brucei group showed in vitro trypanotoxicity with 50% inhibitory concentrations in the submicromolar range.
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The threonine degradation pathway of the Trypanosoma brucei procyclic form: the main carbon source for lipid biosynthesis is under metabolic control

TL;DR: It is concluded that TDH expression is under control and can be downregulated in response to metabolic perturbations, such as in the PEPCK mutant in which the glycolytic metabolic flux was redirected towards acetate production.
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MetaNetter: inference and visualization of high-resolution metabolomic networks.

TL;DR: This open source, multi-platform software has been successfully used to interpret metabolomic experiments and will enable others using filtered, high mass accuracy mass spectrometric data sets to build and analyse networks.