Profiling protein aggregate size using single-molecule array technology
Protein aggregation is a central feature of many neurodegenerative diseases, yet methods to characterise 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 towards 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.
Authors
- David C. Duffy (ORCID: https://orcid.org/0000-0003-1971-2270)
- Paula Beltran-Lobo (ORCID: https://orcid.org/0009-0006-2499-7740)
- María Jiménez-Sánchez (ORCID: https://orcid.org/0000-0002-2287-1582)
- Ashvini Keshavan (ORCID: https://orcid.org/0000-0003-1043-5721)
- Jonathan M. Schott (ORCID: https://orcid.org/0000-0003-2059-024X)
- Zengjie Xia (ORCID: https://orcid.org/0000-0002-5977-9691)
- Dorothea Böken (ORCID: https://orcid.org/0009-0008-8443-4469)
- David Klenerman
- Amanda Heslegrave
- Yunzhao Wu
- Savinu Weerasekera
- Jianli Zhang
- Henrik Zetterberg
- Cara L Croft
Publication Details
- Journal
- Apollo
- Published
- 2026-06-25
- DOI
- https://doi.org/10.17863/cam.131546
- Primary Topic
- Advanced Fluorescence Microscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00