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.
Deep Proteomics Network and Machine Learning Analysis of Human Cerebrospinal Fluid in Japanese Encephalitis Virus Infection.
Bharucha T. et al, (2023), J Proteome Res
Tau filaments are tethered within brain extracellular vesicles in Alzheimer's disease.
Fowler SL. et al, (2023), bioRxiv
Age-Modulated Immuno-Metabolic Proteome Profiles of Deceased Donor Kidneys Predict 12-Month Posttransplant Outcome
Charles PD. et al, (2023)
Accessory ESCRT-III proteins are conserved and selective regulators of Rab11a-exosome formation.
Marie PP. et al, (2023), J Extracell Vesicles, 12
T-cell trans-synaptic vesicles are distinct and carry greater effector content than constitutive extracellular vesicles
Céspedes PF. et al, (2022), Nature Communications, 13