Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates

Author:

Saleeb Rebecca S.12ORCID,Leighton Craig12ORCID,Lee Ji-Eun12ORCID,O’Shaughnessy Judi12ORCID,Jeacock Kiani1ORCID,Chappard Alexandre12ORCID,Cumberland Robyn1,Zhao Tianxiao12ORCID,Ball Sarah R.3ORCID,Sunde Margaret,Clarke David J.1ORCID,Piché Kristin4ORCID,McPhail Jacob A.4ORCID,Louwrier Ariel4ORCID,Angers Rachel5ORCID,Gandhi Sonia678,Downey Patrick5,Kunath Tilo9ORCID,Horrocks Mathew H.12ORCID

Affiliation:

1. EaStCHEM School of Chemistry, The University of Edinburgh, Edinburgh EH9 3FJ, UK.

2. IRR Chemistry Hub, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh EH16 4UU, UK.

3. School of Medical Sciences, Faculty of Medicine and Health, and Sydney Nano, The University of Sydney, Sydney, NSW 2006, Australia.

4. Stressmarq Biosciences Inc., Suite 117-1537 Hillside Ave, Victoria, V8T 2C1 BC, Canada.

5. UCB Biopharma S.P.R.L., Braine l’Alleud, Belgium.

6. The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.

7. Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, Queen Square, London WC1N 3BG, UK.

8. Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

9. Centre for Regenerative Medicine, Institute for Stem Cell Research, School of Biological Sciences, The University of Edinburgh, Edinburgh EH16 4UU, UK.

Abstract

Protein misfolding and aggregation is a characteristic of many neurodegenerative disorders, including Alzheimer’s and Parkinson’s disease. The oligomers generated during aggregation are likely involved in disease pathogenesis and present promising biomarker candidates. However, owing to their small size and low concentration, specific tools to quantify and characterize aggregates in complex biological samples are still lacking. Here, we present single-molecule two-color aggregate pulldown (STAPull), which overcomes this challenge by probing immobilized proteins using orthogonally labeled detection antibodies. By analyzing colocalized signals, we can eliminate monomeric protein and specifically quantify aggregated proteins. Using the aggregation-prone alpha-synuclein protein as a model, we demonstrate that this approach can specifically detect aggregates with a limit of detection of 5 picomolar. Furthermore, we show that STAPull can be used in a range of samples, including human biofluids. STAPull is applicable to protein aggregates from a variety of disorders and will aid in the identification of biomarkers that are crucial in the effort to diagnose these diseases.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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