Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates.
Two-color coincidence single-molecule pulldown for the specific detection of disease-associated protein aggregates.
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DOI:
10.1126/sciadv.adi7359
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发表时间:
2023-11-17
期刊:
影响因子:
13.6
通讯作者:
Horrocks, Mathew H.
中科院分区:
文献类型:
--
作者:
Saleeb, Rebecca S.;Leighton, Craig;Lee, Ji-Eun;O'Shaughnessy, Judi;Jeacock, Kiani;Chappard, Alexandre;Cumberland, Robyn;Zhao, Tianxiao;Ball, Sarah R.;Sunde, Margaret;Clarke, David J.;Piche, Kristin;McPhail, Jacob A.;Louwrier, Ariel;Angers, Rachel;Gandhi, Sonia;Downey, Patrick;Kunath, Tilo;Horrocks, Mathew H.
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. A sensitive assay is presented that can detect the protein structures that precede symptom onset in neurodegenerative disease.
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DOI:
10.1016/j.bbapap.2010.04.001
发表时间:
2010-07
期刊:
Biochimica et biophysica acta
影响因子:
--
作者:
Biancalana M;Koide S
通讯作者:
Koide S
影响因子:
15.1
作者:
Lasagna-Reeves CA;Castillo-Carranza DL;Sengupta U;Clos AL;Jackson GR;Kayed R
通讯作者:
Kayed R
影响因子:
16.6
作者:
通讯作者:
--
影响因子:
15.1
作者:
Majbour NK;Vaikath NN;van Dijk KD;Ardah MT;Varghese S;Vesterager LB;Montezinho LP;Poole S;Safieh-Garabedian B;Tokuda T;Teunissen CE;Berendse HW;van de Berg WD;El-Agnaf OM
通讯作者:
El-Agnaf OM
影响因子:
6.1
作者:
Kumar, Senthil T.;Jagannath, Somanath;Lashuel, Hilal A.
通讯作者:
Lashuel, Hilal A.