Stable isotope-assisted metabolomics for network-wide metabolic pathway elucidation


Darren J. Creek1,2, Achuthanunni Chokkathukalam3, Andris Jankevics3,4, Karl E. V. Burgess1, Rainer Breitling3,4 and Michael P. Barrett1*

1 Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8TA, UK.
2Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Flemington Rd, Parkville, Victoria, 3010, Australia.
3Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK.
4Groningen Bioinformatics Centre, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Groningen, The Netherlands.
*Address correspondence to: Michael P. Barrett at Wellcome Trust Centre for Molecular Parasitology, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8TA, UK. e-mail: Michael.Barrett@glasgow.ac.uk

Supplementary materials

Description of supplementary materials included: Supplementary Data

Data files

Data in PeakML format:

Trypanosoma brucei procyclic form 13C labelled MS data: negative mode, positive mode

IDEOM File

IDEOM Excel file used for the study: IDEOM File

Isotopes

Isotope profiles for metabolites in positive and negative ionisation mode: mzMatch-ISO output

Summary

Summary of putatively identified metabolites and their isotope profiles. Excel output

Figures

Mapping of the overall concept of method with global KEGG map showing labelled and unlabelled metabolites. SVG file

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