Deciphering Neurodegenerative Disease with fast 3D imaging & functional nanoscopy

This project aims to investigate the biophysical mechanisms of protein aggregation in Huntington's Disease using advanced imaging techniques to enhance understanding of neurodegenerative processes.

Subsidie
€ 1.500.000
2024

Projectdetails

Introduction

Neurodegenerative diseases are incurable, progressive brain disorders associated with the accumulation of aberrant protein aggregates, which have severe effects on movement and mental functioning. The mechanism leading to neurotoxicity is far from understood due to our lack of insight into early processes. Recently, aberrant liquid-liquid phase separation has emerged as a new concept to explain protein aggregation in neurodegenerative diseases.

Research Focus

Here, I will investigate the biophysical basis of the formation of different material states of aggregates by capitalizing on my expertise at the interface of single-molecule biophysics and quantitative, high-resolution imaging in cells.

Key Questions

I propose to address the following key questions, using cellular models of Huntington’s Disease (HD) complemented with well-controlled in vitro experiments:

  1. How do the physico-chemical properties of protein variants and the cellular environment influence aggregation and toxicity?
  2. What role does phase separation play in Huntington’s disease?
  3. How does prion-like spreading of extracellular protein interfere with local protein assemblies in cells?

Background on Huntington’s Disease

HD is caused by a gene defect resulting in aggregation-prone huntingtin protein. The diverse sizes (nm-μm) and conformations of the aggregates pose a remarkable challenge, and multiple complementary approaches are needed to unravel their morphology and physico-chemical properties.

Methodology

I will develop multimodal AI-informed quantitative microscopy and functional nanoscopy to decipher how aggregates in neurodegenerative diseases form and mature. Importantly, we will work without tags and exploit virtually stained quantitative phase imaging to assess mechanical properties and cell pathophysiology, thereby minimizing interference with aggregation processes.

Expected Outcomes

The QScope project is expected to elucidate the role of protein aggregation and phase transitions, which are relevant for a broad variety of diseases, and to establish new label-free and super-resolution imaging techniques.

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.500.000
Totale projectbegroting€ 1.500.000

Tijdlijn

Startdatum1-11-2024
Einddatum31-10-2029
Subsidiejaar2024

Partners & Locaties

Projectpartners

  • TECHNISCHE UNIVERSITEIT DELFTpenvoerder

Land(en)

Netherlands

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