Abstract
Synaptic dysfunction is a primary hallmark of both Alzheimer’s and Parkinson’s disease, leading to cognitive and behavioral decline. While alpha-synuclein, beta-amyloid, and tau are involved in the physiological functioning of synapses, their pathological aggregation has been linked to synaptopathology. The methodology for studying the small-soluble protein aggregates formed by these proteins is limited. Here we describe SynPull, a method combining single-molecule pull-down, super-resolution microscopy, and advanced computational analyses to characterize the protein aggregates in human and mouse synaptosomes. We show that AT8-positive tau aggregates are the predominant aggregate type in synaptosomes from postmortem Alzheimer’s disease brain, although the aggregate size does not change in disease. Meanwhile, the relatively smaller amount of alpha-synuclein and beta-amyloid aggregates found in the synapses are larger than the extra-synaptic ones. Collectively, these results show the utility of SynPull to study pathological aggregates in neurodegeneration, elucidating the disease mechanisms causing synaptic dysfunction.
| Original language | English |
|---|---|
| Pages (from-to) | 338-351 |
| Number of pages | 14 |
| Journal | Cell Chemical Biology |
| Volume | 32 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 20 Feb 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Alzheimer's disease
- Parkinson's disease
- Synapse
- Dementia
- Soluble aggregates
- Single-molecule detection
- Super-resolution microscopy
- dSTORM
- Data modelling
- Mouse model
Fingerprint
Dive into the research topics of 'SynPull: an advanced method for studying neurodegeneration-related aggregates in synaptosomes using super-resolution microscopy'. Together they form a unique fingerprint.Datasets
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jdanial/SynPull: SynPull_analysis_code_v1
John S H Danial (Creator), Zenodo, 13 Dec 2024
Dataset: Software
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