Bernd Wollscheid: Katalogdaten im Frühjahrssemester 2020 |
| Name | Herr Prof. Dr. Bernd Wollscheid |
| Adresse | Dep. Gesundheitswiss. und Technol. ETH Zürich, HPM H 27 Otto-Stern-Weg 3 8093 Zürich SWITZERLAND |
| Telefon | +41 44 633 36 84 |
| bernd.wollscheid@hest.ethz.ch | |
| Departement | Gesundheitswissenschaften und Technologie |
| Beziehung | Titularprofessor |
| Nummer | Titel | ECTS | Umfang | Dozierende | |
|---|---|---|---|---|---|
| 551-0324-00L | Systems Biology  | 6 KP | 4V | P. Picotti, M. Claassen, U. Sauer, B. Snijder, B. Wollscheid | |
| Kurzbeschreibung | Introduction 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. | ||||
| Lernziel | - obtain an overview of global analytical methods - obtain an overview of computational methods in systems biology - understand the concepts of systems biology | ||||
| Inhalt | Overview 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. | ||||
| Skript | no script | ||||
| Literatur | The 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 | ||||
| 551-0362-00L | Molecular Health: Biomedical Analysis of the Extracellular Interactome  Number of participants limited to 12. The enrolment is done by the D-BIOL study administration. | 6 KP | 7G | B. Wollscheid, E. Tschudy-Milani | |
| Kurzbeschreibung | In this course you will learn to measure, integrate, analyze and validate the cellular surfaceome as a complex information gateway connecting the intracellular to the extracellular interactome. You will apply next generation technologies at the interface of biology, chemistry, medicine and bioinformatics to establish the surfaceome proteotype and its signaling interaction networks. | ||||
| Lernziel | "If a cell surface molecule such as the B cell receptor would have the size of a human being, then the cell surface of a B cell would have roughly the size of three times NYC Central Park." How many people/proteins/proteoforms reside in this space ("Surfaceome")? Similar to humans, proteins don't act alone. Function is encoded in dynamic protein-protein interactions. How are these proteoforms organized in signaling islands/networks in order to fulfill specific cellular functions ("Interactome")? What are the ligands interacting with the surfaceome to communicate information from other cells & tissues in the body? What goes wrong in these signaling islands if we get sick? In this course you will learn to measure, integrate, analyze and validate the cellular surfaceome and its signaling islands as a complex information gateway connecting the intracellular to the extracellular interactome. You will apply next generation technologies at the interface of biology, chemistry, medicine and bioinformatics to generate unprecedented data to establish the surfaceome proteotype and its signaling interaction networks. This digital proteotype data layer provides the basis for generating qualitative and quantitative surfaceome models explaining how molecular nanoscale organization influences cellular signaling and biological function. | ||||
| Inhalt | "If a cell surface molecule such as the B cell receptor would have the size of a human being, then the cell surface of a B cell would have roughly the size of three times NYC Central Park." How many people/proteins/proteoforms reside in this space ("Surfaceome")? Similar to humans, proteins don't act alone. Function is encoded in dynamic protein-protein interactions. How are these proteoforms organized in signaling islands/networks in order to fulfill specific cellular functions ("Interactome")? What are the ligands interacting with the surfaceome to communicate information from other cells & tissues in the body? What goes wrong in these signaling islands if we get sick? In this course you will learn to measure, integrate, analyze and validate the cellular surfaceome and its signaling islands as a complex information gateway connecting the intracellular to the extracellular interactome. You will apply next generation technologies at the interface of biology, chemistry, medicine and bioinformatics to generate unprecedented data to establish the surfaceome proteotype and its signaling interaction networks. This digital proteotype data layer provides the basis for generating qualitative and quantitative surfaceome models explaining how molecular nanoscale organization influences cellular signaling and biological function. | ||||
| Literatur | D. Bausch-Fluck, E. S. Milani, B. Wollscheid, Surfaceome nanoscale organization and extracellular interaction networks, Curr. Opin. Chem. Biol. 48, 26–33 (2019). https://paperpile.com/shared/ud6iWG | ||||
| Voraussetzungen / Besonderes | This course requires a basic knowledge in mass spectrometry based proteomics and experience in computational data processing using R or MatLab. Ideally this course should be combined with course 551-0352-00L "Introduction to Mass Spectrometry-based Proteomics". | ||||