About the Project
The method will be tested using an existing sample set to identify plasma biomarkers associated with malignant disease and inflammatory disease.
Training/techniques to be provided:
Analytical biochemistry, including assay building with a view to optimising key analytical parameters such as sensitivity, accuracy, precision and reproducibility.
Proteomics, including protein sample preparation methods and developing new workflows.
Mass spectrometry, including novel method development and optimisation.
Liquid chromatography, including novel method development and optimisation.
Proteome bioinformatics, mass spectrometry data handling and processing from raw MS data through design and execution of custom scripts and workflows.
Biomarker discovery and validation, in the final phase of the project the student will be trained in assessment and validation of clinical markers, including development of targeted MS asays or immunoassays, as appropriate.
Candidates are expected to have at least a 2.1 undergraduate degree in biochemistry. A masters-level degree in biochemistry or a related subject would be an advantage. Some experience in projects concerning quantitation of biomolecules in patient samples would be an advantage, although full training in all required methods will be given.
For international students we also offer a unique 4 year PhD programme that gives you the opportunity to undertake an accredited Teaching Certificate whilst carrying out an independent research project across a range of biological, medical and health sciences. For more information please visit http://www.internationalphd.manchester.ac.uk
As an equal opportunities institution we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Geary B, Walker MJ, Snow JT, Lee DCH, Pernemalm M, Maleki-Dizaji S, Azadbakht N, Apostolidou S, Barnes J, Krysiak P, Shah R, Booton R, Dive C, Crosbie PA, Whetton AD. (2019) Identification of a Biomarker Panel for Early Detection of Lung Cancer Patients. J Proteome Res. 2019 Sep 6;18(9):3369-3382.
Russell MR, Graham C, D'Amato A, Gentry-Maharaj A, Ryan A, Kalsi JK, Ainley C, Whetton AD, Menon U, Jacobs I, Graham RLJ. A combined biomarker panel shows improved sensitivity for the early detection of ovarian cancer allowing the identification of the most aggressive type II tumours. Br J Cancer. 2017 Aug 22;117(5):666-674.
Blankley RT, Fisher C, Westwood M, North R, Baker PN, Walker MJ, Williamson AJ, Whetton AD, Lin W, McCowan L, Roberts CT, Cooper GJS, Unwin RD and Myers JE (2013) A label-free SRM workflow identifies a subset of pregnancy specific glycoproteins as novel putative predictive markers of early-onset pre-eclampsia. Molecular and Cellular Proteomics. 12:3148-59.
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