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Molecular Health: Biomedical Analysis of the Extracellular Interactome
Last Updated: 2026-02-05 16:38:43
Abstract
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.
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.
Resources
Literature
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
Learning Materials (Links)
- Moodle course
- Moodle-Kurs / Moodle course
General Information
- Language
- English
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| practical/laboratory course |
Molecular Health: Biomedical Analysis of the Extracellular Interactome
Permission from lecturers required for all students.
Block course in the 3rd quarter of the spring semester
(ideally in combination with block course. 551-0352-00 in the 2nd quarter of the spring semester)
|
|
100 h semesterly |
Offered In
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Block Courses (Registration for Block courses is mandatory. Please register under . Registration period: 21.12.2023 to 10.01.2024. Please note the ETH admission criteria for the admission of ETH students to ETH block courses on the block course registration website under "allocation".)
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Block Courses in 3rd Quarter of the Semester (From 16.04.2024 60 10.05.2024)
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Block Courses (Registration for Block courses is mandatory. Please register under . Registration period: from 21.12.23 - 10.01.2024 Please note the ETH admission criteria for the admission of ETH students to ETH block courses on the block course registration website under "allocation".)
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Block courses 3rd quarter of the semester (16.04.2024 to 10.05.2024)
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