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This course will provide both theoretical and practical training in the use of quantitative proteomics approaches. Participants will learn the principles of current methodologies including SILAC and TMT-based as well as targeted proteomics, and will be trained in the use of bioinformatic tools for data analysis.
This course is aimed at researchers who know the basics of proteomics and who want to get a deeper understanding of quantitative methodologies, and at those who are familiar with wet-lab proteomic experimentation but want to gain experience in bioinformatic data interpretation. To enter the course a basic understanding of mass spectrometry-based proteomics is beneficial.
During this course you will learn:
The principles of proteome quantification by stable isotope labeling (SILAC and TMT) and targeted proteomics
How various types of mass spectrometers (e.g. Orbitrap, triple-quad, Q-TOF) can be used for proteome quantification
To use software tools to analyse various quantitative proteomic data types
Principles of statistical analysis of proteomic data
How quantitative proteomics can be applied in biology, clinical research and drug discovery
After this course you should be able to:
Design quantitative proteomic experiments, including selection of the most appropriate hardware and software
Analyse quantitative proteomic data by various software tools
Evaluate the quality of proteomic data sets
For an impression of the course check the 2017 course programme.