Ludovic Gillet: Catalogue data in Spring Semester 2022

Name Dr. Ludovic Gillet
Address
Inst. f. Molekulare Systembiologie
ETH Zürich, HPM F 42
Otto-Stern-Weg 3
8093 Zürich
SWITZERLAND
Telephone+41 44 633 31 91
Fax+41 44 633 10 51
E-mailgillet@imsb.biol.ethz.ch
DepartmentBiology
RelationshipLecturer

NumberTitleECTSHoursLecturers
551-0224-00LAdvanced Proteomics Restricted registration - show details
For master students from the 2nd semester on, also doctoral candidates and post docs.
4 credits6GP. Picotti, L. Gillet, A. Leitner, P. Pedrioli
AbstractGoal of the course is to analyze current and newly emerging technologies and approaches in protein and proteome analysis with regard to their application in biology, biotechnology and medicine.
Format: Introduction by instructor followed by discussions stimulated by reading assignments and exercises.
Learning objectiveTo discuss current and newly emerging technologies and approaches in protein and proteome analysis with regard to their applications in biology, biotechnology, medicine and systems biology.
ContentBlock course teaching current methods for the acquisition and processing of proteomic datasets.
Prerequisites / NoticeNumber of people: Not exceeding 30.
Students from ETHZ, Uni Zurich and University of Basel
Non-ETH students must register at ETH Zurich as special students http://www.rektorat.ethz.ch/students/admission/auditors/index_EN
551-0352-00LIntroduction to Mass Spectrometry-Based Proteomics Restricted registration - show details
Number of participants limited to 12.

The enrolment is done by the D-BIOL study administration.
6 credits7PL. Gillet, P. Picotti
AbstractProtein Analysis by Mass Spectrometry
The following topics will be covered: basics of biological mass spectrometry, including instrumentation, data collection and data analysis; applications to protein identification and characterization; sample preparation methods; proteomics strategies; and quantitative analysis.
Learning objectiveHow to prepare a protein sample for MS analysis (trypsin digestion, C18 clean-up)
Principles of data acquisition LC-MS (QTOF and/or Ion Trap instruments)
Perform qualitative proteomic analysis (protein identification with Mascot and/or Sequest Softwares)
Perform quantitative proteomic analysis (label-free and labeled analyses)
Analyze/interpret the data to find up/down regulated proteins