Roman Fischer
Associate Professor and Head of Discovery Proteomics Facility
In the Discovery Proteomics Facility of the Target Discovery Institute we provide advice in experimental design, sample preparation, sample analysis with state-of-the-art LCMS workflows and data analysis to researchers from Oxford University and national and international collaborators. We routinely use label-free quantitation, SILAC, TMT, SWATH and other methodologies on diverse samples (i.e. cells, tissues, immuno precipitates et al.) and have developed sample preparation techniques to access the deep proteome form little sample amounts using instrumentation such as Orbitrap Fusion Lumos or TimsTOF Pro.
My own interests evolve around clinical proteomics and applications for the spatial characterisation of the proteome in biological structures such as tissues and tumours. In addition, I am developing methodologies for the proteome characterisation of clinical cohort samples at high-throughput.
Recent publications
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Oncogenic mutations of KRAS modulate its turnover by the CUL3/LZTR1 E3 ligase complex
Journal article
Damianou A. et al, (2024), Life Science Alliance, 7, e202302245 - e202302245
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A novel method to quantify fibrin-fibrin and fibrin-α2AP cross-links in thrombi formed from human trauma patient plasma
Journal article
Morrow GB. et al, (2024), Journal of Thrombosis and Haemostasis
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Dietary n-3 polyunsaturated fatty acids alter the number, fatty acid profile and coagulatory activity of circulating and platelet-derived extracellular vesicles: a randomized, controlled crossover trial.
Journal article
Bozbas E. et al, (2024), The American journal of clinical nutrition
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Deep topographic proteomics of a human brain tumour
Journal article
Davis S. et al, (2023), Nature Communications, 14
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A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study
Journal article
Jackson HR. et al, (2023), The Lancet. Digital health, 5, e774 - e785