Metabolomics and Proteomics

The course program:

Day 1:

• Course introduction
• Project intro
• Intro to Mass Spectrometry (MS)
• Data processing (Split)
• Intro to Metabolomics (SJ)
• Targeted metabolomics: Data analysis (workshop) (SJ)
• Best practices in metabolomics: QA and QC

Day 2:

• Intro to metabolomics and proteomics
• Instruments and LC/GC
• Advanced metabolomics: Molecular networking and in silico Identification
• Spatial metabolomics
• Data interpretation and wrap-up

Day 3:

• Untargeted metabolomics: Data Preprocessing with MZmine (Workshop) (SJ)
• Detectors
• Data types and format
• PTMs: phospho (CF)
• Project work

Day 4:

• Intro and sample prep proteomics (ES)
• Data acquisition
• Proteins vs metabolites
• Metabolite annotation and data repositories, FAIR principles (SJ)
• Visualization, interpretation, and downstream analysis (Split) (AS)
• Project work

Day 5:

• PTMs continued: Glyco and proteolysis
• Targeted proteomics
• Activity-based profiling
• Interactomics, spatial proteomics
• Meta & Paleo proteomics
• Quantification
• SILAQ
• TMT/iCAT/ITRAQ/LFQ
• Single cell proteomics
• De novo peptide sequencing, Immunopeptidomics
• AI in proteomics and protein science
• Proteomics data acquisition and processing
• Data processing, statistics, and data analysis
• Proteomics and metabolomics core infrastructures and capabilities
• Student presentations

After the course you will be able to:

• Describe the general principles of sample preparation of small organic molecules and proteins, e.g. using solid phase extraction (SPE).
• Explain the general principle of chromatography (LC, GC) including the use of different relevant types of columns.
• Explain the general principles of diode array detection (DAD) and mass spectrometry (e.g. QTOF) coupled to liquid chromatography (LC-DAD-MS).
• Demonstrate the principles of dereplication and accurate mass spectrometry.
• Perform data analysis using standard instrumental software and databases for LC-DAD-MS analysis.
• Compare analytical results to information in commercial and open source databases.
• Explain the basic principles behind quantitative analysis of small organic molecules.
• Explain the principles behind mass spectrometry based (e.g. Orbitrap and MALDI TOF) analysis of proteins.
• Describe common methodology in proteomics workflows.
• Understand the various ways of conducting quantitative proteomics, e.g label-free vs. labeled.
• Gain insight into MS-based proteomics data processing.

• PhD Students and Researchers working in work involves mass spectrometry, metabolite or protein analysis, or developing analytical methods for biological or chemical research
• Research scientists and lab technicians
• Analytical chemists and bioanalytical method developers
• Process development engineers
• QC/QA specialists working with complex biomolecular products
• Scientific staff transitioning from traditional wet-lab work to omics-based technologies

Here you will find important information for short course participants regarding cancellation policies, location and waitlist policies.

The lectures, laboratory exercises and group work will all be conducted physically at DTU Lyngby Campus.

Participants do not need to have specific knowledge in the field of biotechnology other than a basic high-school level understanding of natural sciences.

NB!

DTU PhD students must register for this course through the Study Planner

PhDs from other universities must register as a guest student through:
https:/​​​/​​​www.dtu.dk/​​​english/​​​education/​​​phd/​​​intro/​​​guest-phd/​​​guest_courses/​​​registration_form

The application deadline is two weeks prior to course start.

DTU campus Lyngby

Employees in start-up companies, educational institutions and the public sector a 50% course fee reduction.