Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
17 11 2023
17 11 2023
Historique:
medline:
17
11
2023
pubmed:
15
11
2023
entrez:
15
11
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37967183
doi: 10.1126/sciadv.adi7359
pmc: PMC10651132
doi:
Substances chimiques
Protein Aggregates
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
eadi7359Subventions
Organisme : NINDS NIH HHS
ID : R01 NS127186
Pays : United States
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