Project description
Zooming in on misdirected protein traffic and mapping neuropathological detours
Large-scale studies of all the proteins produced by a cell or organism (proteomics) have significantly advanced our understanding of diseases. However, we need increased resolution at the subcellular level to identify protein trafficking deficits, which cause many diseases. Neurological diseases account for a large proportion of rare diseases and can have devastating effects. Neurons are unusual compared to other cells in that their structure is compartmentalized into dendrites, cell body and axon. This results in relatively ‘long’ cells, so efficient protein trafficking is particularly important in neurons. The EU-funded RARE MAPS project is exploiting a pioneering technique called Dynamic Organellar Maps. It will provide proteomic data with subcellular (organelle-level) localization in human induced pluripotent stem cell (hiPSC)-derived neurons and brains from a mouse model of a rare neurodegenerative disorder, called AP-4 deficiency syndrome. The study will boost the utility of the technique, while shedding light on the role of axonal protein trafficking in a rare neurological disease. The approach will provide a discovery pipeline that can be widely applied to rare neurological disorders.
Objective
Rare diseases are a major unmet medical need, as is the definition of the relevant disease mechanisms. Many rare diseases affect the nervous system. These are challenging to treat, and mechanistic studies are difficult due to the inaccessibility of patient tissue. Global proteomic studies have provided insight into whole tissue or cell changes in protein abundance but lose information on protein subcellular localisation, which is important because defects in protein trafficking are implicated in many neurological disorders. In ‘RARE MAPS’ I propose an unbiased mechanistic discovery pipeline combining human induced pluripotent stem cells (hiPSCs) with advanced spatial proteomics. I will use a method developed by Dr. Borner called ‘dynamic organellar maps’, which provides quantitative protein subcellular localisation information at the whole proteome level. Used comparatively, it can detect changes in protein localisation due to a perturbation, allowing unbiased screening for phenotypic changes. To develop this workflow, I will apply it to the rare neurodegenerative disorder AP-4 deficiency syndrome. AP-4 knockout hiPSCs will be differentiated into cortical neurons and maps will be made of intermediate cortical stem cells and mature cortical neurons. Comparison to control cells will enable the detection of changes to protein localisation and abundance. I will also apply the maps to brain tissue from an AP-4 deficient mouse model to detect protein mislocalisation in vivo. I will then use CRISPR/Cas9 technology to investigate the role of novel and known AP-4-associated proteins in neuronal autophagy and axonal health. This project will demonstrate the utility of dynamic organellar maps to reveal molecular mechanisms of rare neurological disorders as well as provide new insights into the pathogenesis of AP-4 deficiency and the role of protein trafficking and autophagy in the axon.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences neurobiology
- natural sciences biological sciences biochemistry biomolecules proteins proteomics
- medical and health sciences medical biotechnology cells technologies stem cells
- medical and health sciences basic medicine neurology
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2019
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
80539 MUNCHEN
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.