Saleeb, Rebecca S;
Leighton, Craig;
Lee, Ji-Eun;
O'Shaughnessy, Judi;
Jeacock, Kiani;
Chappard, Alexandre;
Cumberland, Robyn;
... Horrocks, Mathew H; + view all
(2023)
Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates.
Science Advances
, 9
(46)
, Article eadi7359. 10.1126/sciadv.adi7359.
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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.
Type: | Article |
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Title: | Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1126/sciadv.adi7359 |
Publisher version: | https://doi.org/10.1126/sciadv.adi7359 |
Language: | English |
Additional information: | Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Humans, Protein Aggregates, Parkinson Disease |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences |
URI: | https://discovery.ucl.ac.uk/id/eprint/10182448 |
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