Unravelling pathogenic processes at cellular levels in head and neck and thoracic cancer
Use Mass Spectrometry-based MALDI technology and develop new assays in combination of existing single-cell and spatial technologies to unravel biological mechanisms characterising pathogenesis processes and disease progression in patients with head and neck and/or thoracic cancer.
Start date1 October 2023
Funding sourceFaculty of Health and Medical Sciences at the University of Surrey and Agency for Science, Technology and Research (A*STAR) in Singapore
Whilst the candidate is in the UK, the University of Surrey funding will include UKRI-aligned stipend (£17,668 pa for 2022-23) and approved fees. Whilst in Singapore, funding from A*STAR will consist of a stipend (inclusive of housing subsidy) of SGD 3300/month, a one-time airfare grant to Singapore of SGD 1,500, a one-time settling-in allowance in Singapore of SGD 1,000, a one-time IT allowance of SGD 800, medical insurance and a conference allowance.
With key technological advances in multi ‘omic analysis, the development of cell and spatial transcriptomic analysis have shown their ability to greatly improve the understanding of human diseases. Associated with proteomics, spatial transcriptomic falls short of providing a precise picture allowing for the full understanding of pathogenic processes. The considerable improvements in the growing fields of metabolomic analysis has opened new opportunities to build a comprehensive appreciation of biological and disease processes for the generation of new targeted therapeutic strategies across pathology.
The proposed studentship proposes to use Mass Spectrometry based MALDI technology and develop new assays in combination of existing single-cell and spatial technologies to unravel biological mechanisms characterising pathogenesis processes and disease progression in patients with head and neck and/or thoracic cancer.
Our research labs are using state-of-the-art technology such as high-dimensionality flow-cytometry, complex human models of diseases, spatial and single cell ‘omic technologies and trailblazing Mass Spectrometry and Ion Beam-based technologies.
We will initially use a variety of clinical samples to perform large RNAseq, CITEseq data generation which will be integrated with publicly available and bespoke, unique, datasets to characterise molecular and metabolic pathways driving pathogenesis. The new biomarkers identified will then be validated at the cytological and functional levels using biopsies and human models of disease using both single-cell and spatial levels.
Related linksDr Olivier Cexus Dr Radoslaw Sobota Prof Paul Townsend
Open to UK and international students with the project starting in October 2023.
You will need to meet the minimum entry requirements for our Biosciences and Medicine PhD programme.
How to apply
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