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C9orf72 poly-PR forms anisotropic condensates causative of nuclear TDP-43 pathology
Rachel E Hodgson1, Jessica A Rayment1, Wan-Ping Huang1
1Sheffield Institute for Translational Neuroscience and Neuroscience Institute, University of Sheffield, Sheffield S10 2HQ, UK.
Iscience
|October 11, 2024
Summary
Researchers developed a chemical-free method using optogenetics to study dipeptide-repeat protein aggregation in C9-ALS/FTD. This revealed nuclear poly-PR condensates that cause TDP-43 dysfunction, potentially an early disease event.
Area of Science:
- Neuroscience
- Molecular Biology
- Genetics
Background:
- Dipeptide-repeat (DPR) proteins from C9orf72 mutations form inclusions in familial ALS/FTD.
- Previous cell models struggled to replicate DPR aggregation for most types.
- Understanding DPR aggregation is crucial for C9-ALS/FTD pathogenesis.
Purpose of the Study:
- To develop a controllable, chemical-free method for studying DPR protein aggregation.
- To investigate the impact of poly-PR condensates on cellular mechanisms, particularly TDP-43.
- To explore the potential role of DPR condensates as an early pathological event in C9-ALS/FTD.
Main Methods:
- Utilized optogenetics for spatial and temporal control of poly-PR condensation in cultured cells.
- Included human motor neurons in the experimental models.
- Observed and characterized nuclear and cytoplasmic poly-PR aggregates and their interaction with TDP-43.
Main Results:
- Achieved efficient, chemical-free poly-PR condensation and aggregation using optogenetics.
- Nuclear poly-PR condensates exhibited anisotropic, hollow-center morphology, resembling TDP-43 anisosomes.
- Condensates induced nuclear TDP-43 granulation without activating stress responses and sequestered TDP-43 in a demixed state.
Conclusions:
- Poly-PR condensation and subsequent nuclear TDP-43 dysfunction may be an early pathological mechanism in C9-ALS/FTD.
- Anisosome-type condensates formed by disease-linked proteins could be a common feature in neurodegenerative diseases.
- Optogenetics provides a powerful tool for studying protein aggregation in neurodegenerative disease models.
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