ArticleAnalytical chemistry2026
Profiling Protein Aggregate Size Using Single-Molecule Array Technology.
Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Temporal Trajectories of the Tau Aggregate Interactome Reveal Stage-Specific Vulnerabilities in Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Progress in Optical Methods for the Detection of Two Core Blood Biomarkers of Alzheimer's Disease: Amyloid-Beta and Tau Proteins.Biosensors · 2026Review
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein aggregation is a central feature of many neurodegenerative diseases, yet methods to characterize aggregate size in complex biological samples remain limited. Here, we show that fluorescence intensity from individual single-molecule array (Simoa) microwells encodes size-dependent information beyond conventional digital quantification. Using defined synthetic tau assemblies, we establish that increasing aggregate size produces higher microwell brightness. Applying this technique to human brain homogenate reveals a shift toward larger tau aggregates in Alzheimer's disease compared to age-matched controls, in agreement with orthogonal measurements by single-molecule super-resolution microscopy. Brightness profiling further captures time-dependent aggregate size increase in a neuronal cell model, demonstrating sensitivity to dynamic changes in aggregation. Although resolution is limited between similarly sized small species, Simoa brightness robustly reports population-level shifts in aggregate size distributions. These findings repurpose a widely used ultrasensitive detection platform to provide high-throughput structural as well as quantitative insight into protein aggregation in biological systems.
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Registered trials
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