Paola Picotti: Catalogue data in Spring Semester 2021

Name Prof. Dr. Paola Picotti
FieldProtein Network Biology
Address
Inst. f. Molekulare Systembiologie
ETH Zürich, HPM H 46
Otto-Stern-Weg 3
8093 Zürich
SWITZERLAND
Telephone+41 44 633 25 58
Fax+41 44 633 12 98
E-mailpicotti@imsb.biol.ethz.ch
DepartmentBiology
RelationshipAssociate Professor

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.
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
551-0324-00LSystems Biology Information 6 credits4VP. Picotti, M. Claassen, U. Sauer, B. Snijder, B. Wollscheid
AbstractIntroduction to experimental and computational methods of systems biology. By using baker’s yeast as a thread through the series, we focus on global methods for analysis of and interference with biological functions. Illustrative applications to other organisms will highlight medical and biotechnological aspects.
Objective- obtain an overview of global analytical methods
- obtain an overview of computational methods in systems biology
- understand the concepts of systems biology
ContentOverview of global analytical methods (e.g. DNA arrays, proteomics, metabolomics, fluxes etc), global interference methods (siRNA, mutant libraries, synthetic lethality etc.) and imaging methods. Introduction to mass spectrometry and proteomics. Concepts of metabolism in microbes and higher cells. Systems biology of developmental processes. Concepts of mathematical modeling and applications of computational systems biology.
Lecture notesno script
LiteratureThe course is not taught by a particular book, but some books are suggested for further reading:

- Systems biology in Practice by Klipp, Herwig, Kowald, Wierling und Lehrach. Wiley-VCH 2005
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.

General safety regulations for all block courses:
-Whenever possible the distance rules have to be respected
-All students have to wear masks throughout the course. Please keep reserve masks ready. Surgical masks (IIR) or medical grade masks (FFP2) without a valve are permitted. Community masks (fabric masks) are not allowed.
-The installation and activation of the Swiss Covid-App is highly encouraged
-Any additional rules for individual courses have to be respected
-Students showing any COVID-19 symptoms are not allowed to enter ETH buildings and have to inform the course responsible
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.
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