Related Experiment Video
Updated: Jun 27, 2026

Characterizing Individual Protein Aggregates by Infrared Nanospectroscopy and Atomic Force Microscopy
Published on: September 12, 2019
Profiling Protein Aggregate Size Using Single-Molecule Array Technology
Dorothea Böken1,2, Yunzhao Wu1,2, Jianli Zhang3
1Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K.
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.

