Poster Presentation 23rd Annual Lorne Proteomics Symposium 2018

Next generation clinical veterinary proteomics (#152)

Pawel Sadowski 1 , Shivashankar H Nagaraj 1 , Nana Satake 2 3 , Steven Kopp 2 , Paul Mills 2
  1. Queensland University of Technology, Brisbane, QLD, Australia
  2. The School of Veterinary Science, The University of Queensland, Brisban, QLD, Australia
  3. The School of Veterinary Science, The University of Queensland, Brisban, QLD, Australia

Our work leverages the power of recent advancements in data acquisition strategies for mass spectrometry-based proteomics to drive clinical veterinary research into the next generation. It aims to establish well-curated peptide spectral libraries specific to proteins isolated from blood of multiple production animals (horse, cattle, sheep, goat) and build a Proteome Browser to link mass spectrometry data to genomic information and share this resource with scientific community. Once established, the Browser and associated tools will become a widely accessible on-line resource for archiving and decoding quantitative DIA profiles collected in ruminants that were acquired anywhere around the world and with different biological questions in mind. In our laboratories however, we specifically apply it to develop an array of plasma biomarkers to quantify the effectiveness of pain relief interventions during surgical husbandry procedures. In future, this resource could be expanded to other body fluids and tissues to advance veterinary medicine and agricultural research in a manner that has not been possible before.