KJB320 Proteomics I
Credits (ECTS):5
Course responsible:Morten Skaugen
Campus / Online:Taught campus Ås
Teaching language:Engelsk, norsk
Limits of class size:12 (KJB320 + KJB420)
Course frequency:The course will be given in uneven years.
Nominal workload:Lectures 16 hrs. Lab work 22 hrs. Presentation 6 hrs. Self study 81 hrs.
Teaching and exam period:This course starts in the January block. This course has teaching/evaluation in the January block.
About this course
Sample preparation for MS- and LC-MS analysis of proteins, identification and quantification of proteins. It is emphasized that this course requires the ability and willingness to work independently and meticulously with advanced biochemical methods.
The practical part of the course introduces modern methods for for sample preparation, data acquisition and data analysis. The biological material used in the lab is relevant for current issues in medicine as well as bioremediation and energy production (UN sustainable development goals 3, 7, and 12).
Students will present one scientific article in a seminar. If necessary, this presentation must be given in English.
Learning outcome
Knowledge:
The student should have acquired a good understanding of the concepts of proteomics as an integrated part of an -omics approach to biological/biochemical analysis, and as distinct from classical protein analysis. The students should also have acquired a good understanding of the significance of sample preparation and basic modern mass spectrometric analysis of protein and peptide samples. In addition, the students should know the principals of bioinformatic data analysis and interpretation of proteomics data.
Skills:
The students should have acquired fundamental skills in the laboratory, both in terms of sample preparation and mass spectrometric analysis of samples from different cell types/organisms. They should also be able to use a selection of data analysis tools to convert raw data to useful biological/bichemical information. The student is able to perform the preparations, techniques and analyses employed in the course. The student masters the instruments and equipment used in the course.
General Competence:
The students should have acquired a fundamental understanding of the proteomics discipline, to a point where they should be able to employ this analysis platform in their own work.
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