About the Project
Whilst in urinary tract infections (UTIs) many diseases are caused by a single microorganism, in the elderly poly-microbial infections often occur, and within these co-infections the different bacteria are likely to have different antibiograms. How the phenotype and biochemistry of these communities change on antimicrobial challenge may enable better antibiotic stewardship. This project will investigate Escherichia coli as these bacteria are most commonly associated with UTI, and we have a range of well characterised bacteria. The metabolic phenotyping induced upon antibiotic challenge will be analysed using a range of MS-based metabolomics including GC-MS and LC-MS and multivariate data analysis used to correlate key metabolic shifts with biochemical and pathway perturbations.
Roy Goodacre – https://www.liverpool.ac.uk/integrative-biology/staff/roy-goodacre/
The student will receive broad training in bioanalysis within the post-genomics sciences / systems biology interface. Specific training will be given in mass spectrometry-based metabolomics as well as multivariate data analysis.
The student will join a dynamic research group based in the IIB where the focus is to investigate cellular metabolism. Details of the current projects and diversity of work, as well as more general papers, can be found here: http://www.biospec.net/
Assistance will be given to those who are applying to international funding schemes. The successful applicant will be expected to provide the funding for tuition fees and living expenses as well as research costs of £3000 per year.
Details of costs can be found on the University website: View Website
Allwood, J.W., AlRabiah, H., Correa, E., Vaughan, A., Xu, Y., Upton, M. & Goodacre, R. (2015) A workflow for bacterial metabolic fingerprinting and lipid profiling: application to Ciprofloxacin challenged E. coli. Metabolomics 11, 438-453.
AlRabiah, H., Xu, Y., Rattray, N.J., Vaughan, A.A., Gibreel, T., Sayqal, A., Upton, M., Allwood, J.W. & Goodacre, R. (2014) Multiple metabolomics of uropathogenic E. coli reveal different information content in terms of metabolic potential compared to virulence factors. Analyst 139, 4193-4199.
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