Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

270201 PR Data Science in Bioanalysis (2023S)

6.00 ECTS (6.00 SWS), SPL 27 - Chemie
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

The course is structured as a block seminar. Each of the six days will be a full course day. The introduction to lipidomics and the course will be online on June 5th followed by two laboratory days on June 6th and 7th. Data analysis and interpretation will be introduced on June 12-14th. Details will be provided after the registration is closed.

  • Tuesday 13.06. 10:00 - 18:00 Seminarraum 4 Institut Physikalische Chemie HP Währinger Straße 42
  • Wednesday 14.06. 10:00 - 18:00 Seminarraum 3 Organische Chemie 1OG Boltzmanngasse 1

Information

Aims, contents and method of the course

Lipidomics is the science that deals with the concentration-dependent description of hydrophobic biomolecules in space and time in a specific system. You will be taught one of the most practical approaches to achieve this goal. This course focuses on LC-MS based lipidomics. However, this course will also deliver basic concepts how to identify small molecules, which you can also apply in other fields of analytical chemistry. In this course the following topics might be presented or worked out together: lipid structure and function, nomenclature of lipids, extraction and sample preparation, LC-MS lipidomics, evaluation strategies for identification and quantification. Critical examination and scientific discussion of research results.

Assessment and permitted materials

We will judge your coursework and commitment. At the end of the course, you must present your lab results in a short presentation.

Minimum requirements and assessment criteria

Basic knowledge in data interpretation and statistics, concepts of mass spectrometry (lecture on mass spectrometry).

Examination topics

Reading list

Lipid extraction by methyl-tert-butyl ether for high-throughput lipidomics (doi: 10.1194/jlr.D700041-JLR200 )
Top-down lipidomic screens by multivariate analysis of high-resolution survey mass spectra.( doi: 10.1021/ac062455y)
Bottom-up shotgun lipidomics by higher energy collisional dissociation on LTQ Orbitrap mass spectrometers.( doi: 10.1021/ac102505f)
Identification of key lipids critical for platelet activation by comprehensive analysis of the platelet lipidome.( doi: 10.1182/blood-2017-12-822890.)

Association in the course directory

CH-SAS-06,BC CHE II-1, Design

Last modified: We 05.04.2023 13:29