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Mast-Cell-Based Fluorescence Biosensor for Rapid Detection of Major Fish Allergen Parvalbumin
被引:23
作者:
Jiang, Donglei
[1
]
Jiang, Hui
[1
]
Ji, Jian
[1
]
Sun, Xiulan
[1
]
Qian, He
[1
]
Zhang, Genyi
[1
]
Tang, Lili
[1
]
机构:
[1] Jiangnan Univ, Sch Food Sci & Technol, Synerget Innovat Ctr Food Safety & Nutr, State Key Lab Food Sci & Technol, Wuxi 214122, Jiangsu, Peoples R China
关键词:
fluorescence sensor;
RBL-2H3 mast cells;
fish parvalbumin;
CD63;
green fluorescent protein;
confocal laser scanning microscopy;
LINKED-IMMUNOSORBENT-ASSAY;
MONOCLONAL-ANTIBODY;
CARP PARVALBUMIN;
SENSOR;
PROTEIN;
CD63;
IDENTIFICATION;
ACTIVATION;
EXPRESSION;
SURFACE;
D O I:
10.1021/jf501382t
中图分类号:
S [农业科学];
学科分类号:
09 ;
摘要:
In this study, we developed a rat basophilic leukemia cell (RBL-2H3) fluorescence sensor to detect and identify the major fish allergen parvalbumin (PV). We constructed and transfected a CD63-enhanced green fluorescent protein (EGFP) plasmid into RBL cells through a highly efficient, lipid-mediated, DNA-transfection procedure. Stable transfectant RBL cells were then obtained for a cell fluorescence assay with confocal laser scanning microscopy. Results show that the cell surface expression of CD63 reflects degranulation, indicating that a fluorescence assay with these cells could efficiently measure the activation of antigen-stimulated transfectant cells and detect antigens with a nanogram level. Therefore, this cell-based fluorescence biosensor technique for detecting fish PV exhibits promise for quantifying fish PV after anti-PV immunoglobulin E (IgE) stimulation. Results show that fluorescence intensities increased with purified PV concentrations from 1 to 100 ng/mL, with a detection limit of 0.35 ng/mL [relative standard deviation (RSD) of 4.5%1, confirmed by beta-hexosaminidase assays. These rat basophilic leukemia (RBL) mast cells transfected with the CD63 EGFP gene and responded to PV only when they were sensitized with the specific IgE antibody. This demonstrates the utility of this highly sensitive biosensor for food allergen detection and prediction.
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页码:6473 / 6480
页数:8
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