Proteomics and Metabolomics

Entry requirements

120 credits in the programme including Biotechnical methodology, Genomics- experimental methods, and multivariate data 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 and sensitivity
• 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. Common methods of measurement with associated raw data analysis methods to study the proteome, particularly mass spectroscopy and antibody-based methods. Common methods of measurement with associated raw data analysis methods to study the metabolome, particularly mass spectroscopy and NMR-spectroscopy. Basic experimental designs for different combinations of measurement methods and biomedical problems. Experimental designs for iterative optimization of measurement data quality. Basic measurement method specific raw data analysis for reach method studied. Important public database resources such as Human Proteome Atlas and spectroscopy- specific databases for raw data based identification of metabolites, peptides and proteins. Biomedical and biological applications in inter alia pharmacology, pathology, toxicology and cell biology.

Instruction

Lectures, seminars, computer exercises and projects.

Assessment

Written examination (3 credits), computer exercises (2 credits).