Summary
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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/896725 |
| Start date: | 01-02-2021 |
| End date: | 31-01-2023 |
| Total budget - Public funding: | 162 806,40 Euro - 162 806,00 Euro |
Cordis data
Original description
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.Status
CLOSEDCall topic
MSCA-IF-2019Update Date
28-04-2024
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