After successful completion of the course, students are able to identify proteomic questions in basic and applied research as well as industrial quality control, know different strategies to tackle these questions and select suitable ones. They will have learned how to design diverse proteomic experiments and how to theoretically perform sample preparations, proteomic analyses and bioinformativ analyses. This will include the knowledge of how to separate proteins using electrophoretic and liquid chromatographic techniques, identify, charaterize and quantify proteins and complex proteomes by mass spectrometry and LC-MS/MS data analyses, as well as functional annotation of proteins and their modifications and statistical analyses tackling protein identification confidence as well as significant quantitative changes (e.g. biomarkers).
Methods and strategies in proteomics: starting points of proteomic projects and definition of the research goals, sample preparation including methods of reduction of the proteom complexity, separation of the proteom, data processing and imaging as well as quantification of separated proteins, identification of individual proteins including the necessary bioinformatic tools, structural characterization of proteins and their posttranslational and bioprocess-related modifications, functional proteomics, high-throughput technologies
lecture with practical exercises (e.g. manual MS/MS spectrum interpretation of peptides, usage of webtools)
presentation and discussion of examples of proteomic applications
