Mass spectrometry based Proteomics: When and how, 3 hp
Application open: April 15 2016
Application deadline: May 16 2016
Responsible teachers: Rozbeh Jafari and Mattias Vesterlund
The course contains lectures, seminars, and a practical laboratory exercise using mass spectrometry based proteomics methods.
The aim of this course is to give an overview of mass spectrometry based proteomics for researchers that will apply these techniques in their own research. Lectures and workshops on -Overview of proteomics -The proteomics workflow -Basic of separation sciences: Protein and peptides -Introduction to Mass spectrometry -Experimental design -Sample preparation, immunoprecipitation and enrichment strategy -Quantitative and qualitative proteomics by mass spectrometry -Global and targeted proteomics -Human protein atlas and Biological validation -Clinical applications. A practical laboratory exercise using mass spectrometry based proteomics. This course is focusing on proteomics technologies and applications. For proteomics data analysis we recommend our KI doctoral course “Omics data analysis: From quantitative data to biological information”.
After completed the course, the student will be able to:
- Define and apply common proteomics terminology
- Recognize the principles of the most common proteomics techniques -Understand the mass spectrometry based proteomics workflow: Experimental design, sample preparation and selection of techniques
- Understand proteomics to such an extent that he/she will be able to utilize proteomics core facilities or collaborate with proteomics researchers. -Evaluate the quality of protein and peptide identifications.
- Demonstrate how modern proteomics is applied to clinical research and to evaluate when proteomics research could be beneficial to incorporate in research projects.
- Design their own research project by mass spectrometry based proteomics.
PhD students, postdocs (Selection will be based on 1: the relevance of the course syllabus for the applicant’s doctoral project (according to written motivation), 2: date for registration as a doctoral student (priority given to earlier registration date).
More info: http://kiwas.ki.se/katalog/katalog/kurs/2382