551-0362-00L  Molecular Health: Biomedical Analysis of the Extracellular Interactome

SemesterSpring Semester 2021
LecturersB. Wollscheid, E. Tschudy-Milani
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber 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


AbstractIn 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.
Objective"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.
Content"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.
LiteratureD. Bausch-Fluck, E. S. Milani, B. Wollscheid, Surfaceome nanoscale organization and extracellular interaction networks, Curr. Opin. Chem. Biol. 48, 26–33 (2019).

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Prerequisites / NoticeThis 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".