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(BBSRC DTP CASE) Identification of cell types and subtypes within tissues by mass spectrometry imaging


About This PhD Project

Project Description

This project will bring together the capabilities of the University’s Imaging research group, and the extensive mass spectrometry imaging facilities of the Medicine Discovery Catapult at Alderley Park, at Waters at their Wilmslow site and using a DESI-imaging mass spectrometer, placed by Waters, at the University. The student will access tissue models provided by the University and the MDC, to develop methods for the recognition of cells and their sub-types within the tissues. This multiplexed approach to cell identification will add to the ability of mass spectrometry imaging to recognise pharmacodynamics changes within tissues and to map the distributions of pharmaceuticals and their metabolites. The student will spend significant time at both the MDC’s and Waters’ laboratories, accessing state of the art mass spectrometry imaging instrumentation. Within the imaging group at the University, we have developed our own multivariate statistical analysis tools that allows cell recognition within tissues and the quantitative measurement of tissue components across images. The student will further develop these methods as tools for the investigation of inflammatory processes and pharmacodynamics in tissues.

Entry Requirements:
Applications are invited from UK/EU nationals only. Applicants must have obtained, or be about to obtain, at least an upper second class honours degree (or equivalent) in a relevant subject.

References

1. Deepaisarn S, Tar PD, Thacker NA, Seepujak A, McMahon AW. Quantifying biological samples using Linear Poisson Independent Component Analysis for MALDI-ToF mass spectra. Bioinformatics. 2018;34(6):1001-8.
2. Henderson F, Hart PJ, Pradillo JM, Kassiou M, Christie L, Williams KJ, et al. Multi-modal imaging of long-term recovery post-stroke by positron emission tomography and matrix-assisted laser desorption/ionisation mass spectrometry. Rapid Communications in Mass Spectrometry. 2018;32(9):721-9.
3. Henderson F, Johnston H, Jones E, Foster D, Nagaraju RT, Green M, et al. Multi-modality imaging to interrogate lipidome changes during melanoma progression in zebrafish. Cancer Research. 2018;78(13).
4. Henderson F, Johnston HR, Badrock AP, Jones EA, Forster D, Nagaraju RT, et al. Enhanced Fatty Acid Scavenging and Glycerophospholipid Metabolism Accompany Melanocyte Neoplasia Progression in Zebrafish. Cancer Research. 2019;79(9):2136-51.

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