Universität Wien

300094 UE Proteomics in Systems Biology (2024S)

10.00 ECTS (6.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
ON-SITE

Eine Teilnahme an dieser Lehrveranstaltung ist erst nach Absolvierung einer Online-Sicherheitsunterweisung (diverse Module) möglich. Die Prüfung kann ab dem Tag nach einer erfolgreichen Anmeldung und Freischaltung zur Lehrveranstaltung in Moodle absolviert werden. Näheres erfahren Sie unter https://laborlehre-ubb.univie.ac.at/
Alle Übungsräume dürfen ausschließlich mit Labormantel und geschlossenen Schuhen betreten werden, ebenso muss bei Bedarf eine Laborbrille angeschafft werden. Privatsachen bitte in den Garderoberäumen verstauen.

Participation in this course is only possible after completing an online safety instruction (various modules). The exam can be taken from the day after successful registration and activation of the course in Moodle. You can find out more at https://laborlehre-ubb.univie.ac.at/
All practice rooms may only be entered with a lab coat and closed shoes, also lab glasses must, if needed, be purchased. Please store private belongings in the cloakroom.

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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: English

Lecturers

Classes (iCal) - next class is marked with N

The course will be from March 11. - 22.
Preliminary meeting via zoom, March 1. at 2 pm. A link will be send out the day before. It is mandatory to attend (!) - notify Prof. Wienkoop if you cannot make it, otherwise space will be transfered to waiting list! ideally send a colleague in case you are prevented.
Students on waiting list may also attend as there might be spare space.

Monday 11.03. 09:00 - 17:00 Übungsraum 1.8 Molekularbiologie 2, Biologie Djerassiplatz 1, 1.040, Ebene 1
Wednesday 13.03. 09:00 - 17:00 Übungsraum 1.7 Physiologie 2, Biologie Djerassiplatz 1, 1.041, Ebene 1
Übungsraum 1.8 Molekularbiologie 2, Biologie Djerassiplatz 1, 1.040, Ebene 1
Thursday 14.03. 09:00 - 17:00 Übungsraum 1.7 Physiologie 2, Biologie Djerassiplatz 1, 1.041, Ebene 1
Übungsraum 1.8 Molekularbiologie 2, Biologie Djerassiplatz 1, 1.040, Ebene 1
Friday 15.03. 09:00 - 17:00 Übungsraum 1.7 Physiologie 2, Biologie Djerassiplatz 1, 1.041, Ebene 1
Übungsraum 1.8 Molekularbiologie 2, Biologie Djerassiplatz 1, 1.040, Ebene 1
Monday 18.03. 09:00 - 17:00 Übungsraum 1.4 Mikroskopie 4, Biologie Djerassiplatz 1, 1.048, Ebene 1
Tuesday 19.03. 09:00 - 17:00 Übungsraum 1.4 Mikroskopie 4, Biologie Djerassiplatz 1, 1.048, Ebene 1
Wednesday 20.03. 09:00 - 17:00 Übungsraum 1.4 Mikroskopie 4, Biologie Djerassiplatz 1, 1.048, Ebene 1
Thursday 21.03. 09:00 - 17:00 Übungsraum 1.4 Mikroskopie 4, Biologie Djerassiplatz 1, 1.048, Ebene 1
Friday 22.03. 09:00 - 17:00 Übungsraum 1.4 Mikroskopie 4, Biologie Djerassiplatz 1, 1.048, Ebene 1

Information

Aims, contents and method of the course

The terms "proteome" and "metabolome" (entirety of all active proteins and metabolites in a cell or tissue) was coined 10 years ago in analogy to the "genome" (entirety of all genes). The proteome comprises the full suite of all proteins/enzymes in a cell or a tissue. Because of the diversity and dynamic of the proteome sophisticated bioanalytical methods, especially mass spectrometry, are needed. In the frame of the project the student will learn protein extraction and basics of the technology proteomics and a special mass spectrometric technique for the analysis of proteins (shotgun proteomics for identification and quantification). At the same time the course will impart knowledge about mass spectrometrie in modern biology.

Assessment and permitted materials

Collaboration (exercise [questionnaire] 15%, discussion 15%) 30%
Labwork 20%
Protocol and final presentation (in groups) (25% each)

Minimum requirements and assessment criteria

english

Examination topics

Protein extraction,- digestion, -separation (HPLC and SDS-PAGE), Mass Spectrometry for protein ID and quantification, data mining and presentation

Reading list

Literature will be uploaded to moodel!

Association in the course directory

BBO 9, BOE 12, MBO 7, MEC-9, MES5, MMEI III

Last modified: Tu 14.05.2024 13:46