Translational Discovery Omics II - Proteomics

Upon completing the course, participants should be able to:

Knowledge

• Demonstrate a basic understanding of different mass spectrometry-based proteomics workflows, experimental design and methods including hands-on experience with plasma proteomics.
• Have a general understanding of the main statistical concepts required for proteomics data analysis.
• Understand the role of protein signalling pathways and functional protein interaction networks in health and disease.

Skills and Competences

• Perform mass spectrometry-based proteome analysis of biological and clinical samples.
• Process raw mass spectrometry data and obtain peptide and protein identification from proteome analysis using different software tools (MaxQuant, Spectronaut).
• Use data analysis and visualization programs such as Perseus, StringApp, and Cytoscape including ability to integrate proteomics data with curated datasets such as signalling pathways and protein-protein interactions.
• Understand the important aspects of translational omics with a focus on clinical sample handling and be able to discuss and communicate these to other scientists, clinicians, and the public.
• Critically evaluate proteomic results and interpretation of downstream data analysis to answer biological questions and hypotheses.