Universität Wien
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270226 PR Proteomics (2025S)

3.00 ECTS (3.00 SWS), SPL 27 - Chemie
Continuous assessment of course work
Moodle

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. 12 participants
Language: German

Lecturers

Classes

Two courses will take place:
Course I: 1th - 9th of Mai 2025 (max. 6 students)
Course II: 12th - 16th of Mai 2025 (max. 6 students)
Theory blocks (2x 2h) for both courses on the 28th and on the 30th of April 2025, from 1:45 till 3:45 p.m. at SR4
A 90% attendance at the course is mandatory.

Information

Aims, contents and method of the course

The proteome of a complex sample shall be analyzed. Therefore, first, the complexity of the sample will be reduced using appropriate separation techniques. After that, an analysis of the sample, applyig mass spectrometry, will be performed. In the course of this practical work, different methods for protein analysis will be presented and practically applied.

Assessment and permitted materials

Performance is monitored during the practical course (interest, cooperation), and furthermore determined on the basis of the quality of the delivered protocol and the acquired knowledge (determined in the closing meeting).

Minimum requirements and assessment criteria

Students need positive grades for each part of the performance (interest/cooperation, protocol and closing meeting regarding the acquired knowledge) in order to successfully complete the course.

Examination topics

Background knowledge on the conducted experiments (provided in two theoretical parts and during practicle course): preparation of biological sample material, isolation of different blood constitutents or different cell types, subcellular fractionation (separation of cytoplasmic and nuclear proteins), protein separation techniques using 2D- and 1D-gel electrophoresis, digestion of proteins into petides, identification of proteins using LC-MS/MS analyses, data analysis.

Reading list

Additional literature is not required.

Association in the course directory

CH-SAS-05, BC-CHE II-1, LMC C1, LMC D1

Last modified: We 29.01.2025 11:06