Department of Chemistry   University of Oxford

 

Metabolomics

 

Research in the McCullagh Group
The McCullagh group works on the development of metabolomics methods and thier application in project assoicated with animal and plant targeted and untarted analysis. We also undertake collaborations in a range of disease related areas including cancer, diabetes and heart disease. We have worked on a range of tissue types inlcluding cells, tissues and biofluids, bone and different plant tissue structures. We specialsie in identifying changes in energy metabolism in pathways including, but not limitted to glycolysis, gluconeogensesis, citric acid cycle, pentose phosphate pathways, amino acid and nucleic acid metabolism. If you are interested in working with us please contact james McCullagh in the first instance (james.mccullagh@chem.ox.ac.uk).

Sample preparation: We spend a lot of time working on sample preparaton as it is a key element in the production of high quality data. No one methods fits all metabolites so we have a number of sample preparation protocols depending on the sample type and quantity or material. Please email to request our latest protocols.

Metabolite identification: We use a number of in house bespoke metabolite databases for identification purposes which include retention time matching, isotope pattern matching, fragmentation pattern and accurate mass matching. For putative identifcation we also use publically available databases such as HMDB, NIST and others which contain structural information.

A list of metabolites in our three in-house databases can be found below

TCA metabolite database

C18 metabolite database

AAA metabolite database

Bioinformatics: We use Progenesis QI for small molecules to process and analyse our data and to identify compounds. We use a Umetrics bioinformatics package containing multivariate statistical methods for supervised and unsupervised modelling of data including PCA, OPLS-DA and other biomarker discovery tools.

Data visualistion: We can provide statistical analysis and an in-house developed pathways mapping heatmap to visualise how compounds change between experimental groups in relation to the metabolic pathways they are a part of.

 

 

 

 

 

 

 

 

 

 

 

 


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