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Neuroscience Reconstructed: Proteomics

EPFL

About This Course

Modern neuroscience is multidisciplinary and collaborative. We need to integrate knowledge of experimental and theoretical approaches to neuroscience, and look at the brain and brain function from different perspectives: for example, protein expression can partially explain differences in reading ability, but there is no single protein that makes someone a good or a poor reader. Protein expression depends on the regulation of genes, and their function can be influenced by external factors such as someone’s diet or a virus infection. So to understand something as complex as reading ability, we need to stitch together knowledge about the role of genes, proteins, cells, and large networks of cells.

In Neuroscience reconstructed: Neuroproteomics, we will focus on the basic biology of proteins, their role in the nervous system and as well as introduce you to the fields of translatomics, proteomics and their applications.

  • week 1: Translation
  • week 2: Protein maturation
  • week 3: Main protein functions
  • week 4: Translatome and proteome
  • week 5: Methods and tools in neuroproteomics: mass spectrometry & structural biology
  • week 6: Computational neuroproteomics
  • week 7: Translational aspects: protein aggregates and neurodegeneration
  • week 8: Modeling proteins

Each week will include a video lecture or reading material, practice exercises, online tools to access existing data as well as a reading list if you wish to learn more on the week's subject. The week will be concluded by a graded assignment.

You will learn from top scientists, specialised in each field, and have access to research databases and learning resources such as brain atlases and brain modeling tools. We aim to show you how these new tools can help integrate the vast amounts of neuroscience data available to innovate medical technologies and therapies. And we will teach you how to use these tools for your own research and understanding.

Requirements

This course is for anyone who has a basic understanding of cell biology and wants to learn about brain function from a broad biological perspective.

Course Staff

Elsa Pellet
Elsa Pellet

After a master in life sciences at the EPF in Lausanne, Switzerland, I wanted to keep working in an interdisciplinary field, so I chose to do a Ph.D. (or, more exactly, a Dr. rer. nat.) in systems immunology. Working in two labs, one theoretical, the other experimental, allowed me to combine an experimental approach to a modelling approach, and to learn how to integrate the two aspects of biological research. The combination of experimental and computational work is important, and communication difficulties between the two fields are a non-negligible impairment in biological research. My position at the intersection of both fields allows me to reduce those difficulties by understanding both the data requirement of system biologists, the experimental needs of experimentalists, and by being able to explain mathematical models in biological terms and biological restrictions in practical terms.

Matteo
Matteo Dal Perraro

Matteo Dal Peraro graduated in Physics at the University of Padua in 2000. He obtained his Ph.D. in Biophysics at the International School for Advanced Studies (SISSA, Trieste) in 2004. He then received postdoctoral training at the University of Pennsylvania (Philadelphia) under the guidance of Prof. M. L. Klein. He was nominated Tenure Track Assistant Professor at the EPFL School of Life Sciences in late 2007. His research at the Laboratory for Biomolecular Modeling (LBM), within the Interfaculty Institute of Bioengineering (IBI), focuses on the multiscale modeling of large macromolecular systems.

Matteo
Manfredo Quadroni

Manfredo Quadroni is the Head of the Protein Analysis Facility. He graduated with a degree in biochemistry and then received the Ph.D. degree from ETH Zürich for work centered on calcium-mediated signaling and protein phosphorylation, where he also received his training in proteomics in the laboratory of Dr. P. James. During a post-doctoral stay at the University of British Columbia, Canada, he also became familiar with signal transduction in immunology. A second post-doctorate brought him back to ETH Zürich, where he continued working on the development of methods for proteome analysis. He joined the University of Lausanne in 2000, where he has been in charge of the setup and operation of the Protein Analysis Facility since 2002.

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Course Summary

  1. Course Number

    Neuro_Proteomics
  2. Classes Start

  3. Estimated Effort

    4
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