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University of Gothenburg
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PhD Courses in Proteomics

The Proteomics Core Facility gives two PhD courses. SC00033 is a one-week course focusing on sample preparation of proteomic samples, while SC00003 is a two-week course including basic theory as well as practical applications.

Proteomics

Credits (HP): 3,0
Code (s): SC00003
Weeks (s): 11-12

Topics covered

The two-week course includes lectures, seminars, demonstrations, and individual exercises. The following basic topics on proteomics will be covered:

  • Introduction to proteomics
  • Sample handling and preparation
  • Separation techniques and strategies
  • Mass spectrometry theory
  • Quantitative mass spectrometry
  • Characterization of post-translational modifications
  • Database matching and proteomic tools
  • Experimental design and interpretation of quantitative proteomic results
  • Bioinformatics and pathway analysis using Ingenuity Pathway Analysis
  • Practical experiments covering quantitative proteomics, phosphoproteomics and in-gel digest for protein identification

Invited speakers will highlight cutting-edge research techniques in proteomics and related fields. Practical exercises and demonstrations during two full weeks will illustrate hands-on techniques in proteomics including posttranslational modification analysis, mass spectrometry of peptides, quantitative mass spectrometry and database searches.

Proteomics sample preparation and applications

Hours (HP): 1,5
Code (s): SC00033
Weeks (s): 41

Topics Covered

The course is a one-week theoretical course covering the same topics as SC00003, but with a focus on sample preparation of proteomic samples for mass spectrometric analysis. Practical demonstration on the MS instruments are included, but no other practical exercises in the laboratory.

The aim of the course is the basic topics of proteomics, applications and the methods used inproteomics. The course will cover separation of proteins and peptides, sample preparationtechniques, including immunoprecipitation, basic theory of biological mass spectrometry (MS)and liquid-chromatography-MS instruments, data analysis and bioinformatics of MS data.Teaching will be performed through lectures, instrument demos and practical use of the massspectrometry results.This course includes more applications and focus on sample preparation prior to massspectrometry analysis. No practical experiments and less MS theory