Allison Barry

Abstract The functional characterization of host-gut microbiome interactions remains limited by the sensitivity of current metaproteomic approaches. Here, we present uMetaP, an ultra-sensitive workflow combining advanced LC-MS technologies with an FDR-validated de novo sequencing strategy, novoMP.

Abstract The peripheral nervous system has been widely implicated in pathological conditions that exhibit distinct clinical presentations in men and women, most notably in chronic pain disorders. Here, we explored this sexual dimorphism at a molecular level. We expanded the available omics landscape in the PNS to include quantitative proteomics of the human dorsal root ganglia (hDRG) and nerve.

Abstract Accurate identification of pain-related genes remains challenging due to the complex nature of pain pathophysiology and the subjective nature of pain reporting in humans, or inferring pain states in animals on the basis of behaviour. Here, we use a machine learning approach to identify possible pain genes. Labelling was based on a gold-standard list of genes with validated involvement across pain conditions, and was trained on a selection of -omics (eg.