Fluorescence Masking Based Multifunctional Quantum Dots’ Assay for HSP90α Interactions Detection

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Kishore, A.; Fan, L.; Stahl, F.; Reichel, T.; Krüger, K. et al.: Fluorescence Masking Based Multifunctional Quantum Dots’ Assay for HSP90α Interactions Detection. In: Applied Sciences : open access journal 13 (2023), Nr. 5, 2957. DOI: https://doi.org/10.3390/app13052957

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Sum total of downloads: 68




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Abstract: 
HSP90α is one of the most common stress proteins in cells; hence, it is a good target for developing drugs and testing systems for cancer or physical stress levels in humans. Streptavidin conjugated quantum dots (Sav-QDs) are widely used as fluorophores for biosensing to overcome chemical labelling problems. In this work, we have attempted to develop a multifunctional and robust assay for HSP90α. The detection technique was based on the masking of the fluorescence of spotted Sav-QDs on nitrocellulose chips (NC). Biotinylated ligand/antibody attaches to the spotted Sav-QD and then HSP90α is attached, which causes the masking of fluorescence. The masking of fluorescence was used to detect protein–ligand interactions, the effect of inhibitors, protein–protein interactions, and the presence of protein in the biological sample. The load of detection (LoD) of the assay lies in the nano molar range, making it a sensitive assay. The results from the experiments suggest that the used approach is promising for developing a multifunctional, robust, and sensitive assay for proteins that can be used for point-of-care detection in complex biological samples.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Forschungszentren

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pos. country downloads
total perc.
1 image of flag of Germany Germany 34 50.00%
2 image of flag of United States United States 13 19.12%
3 image of flag of Vietnam Vietnam 4 5.88%
4 image of flag of France France 4 5.88%
5 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 2 2.94%
6 image of flag of China China 2 2.94%
7 image of flag of Russian Federation Russian Federation 1 1.47%
8 image of flag of Portugal Portugal 1 1.47%
9 image of flag of Italy Italy 1 1.47%
10 image of flag of United Kingdom United Kingdom 1 1.47%
    other countries 5 7.35%

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