Proteomics and Metabolomics

Entry requirements

120 credits in the programme including Biotechnical Methodology, Genomics: Experimental Methods, and Multivariate Sata Analysis and Experimental Design.

Learning outcomes

After passing the course the student should be able to

• account for methods of measurement to study proteomes and metabolomes including their advantages and disadvantages with regard to e.g. manual work load, costs, sensitivity and scalability
• carry out raw data analysis on collected measurement raw data, such as elimination of systematic and random measurement errors, conversion to standardized formats, quality control and identification of metabolites and proteins
• account for applications for proteomics and metabolomics in biomedicine and biology
• choose methods of measurement and carry out basic experimental design for a given biological and biomedical problem.

Content

Introduction to proteomics and metabolomics. Statistical aspects both before and after design and implementation of experiments in proteomics and metabolomics. Methods of measurement with associated methods for raw data analysis to study the proteome, particularly mass spectroscopy and antibody-based methods. Methods of measurement with associated methods for raw data analysis to study the metabolome, particularly mass spectroscopy and NMR-spectroscopy. Basic experimental design for analysis using mass and NMR spectroscopy. Public database resources for central problems such as spectrum based identification of metabolites and network analysis of protein-protein interactions (”interactomics”). Biomedical and biological applications in pharmacology, pathology, toxicology and cell biology.

Instruction

Lectures, seminars and computer labs.

Assessment

Written examination (3 credits), seminars and computer labs (2 credits).