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.
T-cell trans-synaptic vesicles are distinct and carry greater effector content than constitutive extracellular vesicles.
Céspedes PF. et al, (2022), Nat Commun, 13
Chronic inflammatory arthritis drives systemic changes in circadian energy metabolism.
Downton P. et al, (2022), Proceedings of the National Academy of Sciences of the United States of America, 119
Deep topographic proteomics of a human brain tumour
Davis S. et al, (2022)
ABPP-HT*—Deep Meets Fast for Activity-Based Profiling of Deubiquitylating Enzymes Using Advanced DIA Mass Spectrometry Methods
Jones HBL. et al, (2022), International Journal of Molecular Sciences, 23, 3263 - 3263
Sequence and structural variations determining the recruitment of WNK kinases to the KLHL3 E3 ligase.
Chen Z. et al, (2022), The Biochemical journal