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Rapid screening and identification of dominant B cell epitopes of HBV surface antigen by quantum dot-based fluorescence polarization assay

Overview of attention for article published in Discover Nano, March 2013
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Title
Rapid screening and identification of dominant B cell epitopes of HBV surface antigen by quantum dot-based fluorescence polarization assay
Published in
Discover Nano, March 2013
DOI 10.1186/1556-276x-8-118
Pubmed ID
Authors

Zhongji Meng, Ruihua Song, Yue Chen, Yang Zhu, Yanhui Tian, Ding Li, Daxiang Cui

Abstract

A method for quickly screening and identifying dominant B cell epitopes was developed using hepatitis B virus (HBV) surface antigen as a target. Eleven amino acid fragments from HBV surface antigen were synthesized by 9-fluorenylmethoxy carbonyl solid-phase peptide synthesis strategy, and then CdTe quantum dots were used to label the N-terminals of all peptides. After optimizing the factors for fluorescence polarization (FP) immunoassay, the antigenicities of synthetic peptides were determined by analyzing the recognition and combination of peptides and standard antibody samples. The results of FP assays confirmed that 10 of 11 synthetic peptides have distinct antigenicities. In order to screen dominant antigenic peptides, the FP assays were carried out to investigate the antibodies against the 10 synthetic peptides of HBV surface antigen respectively in 159 samples of anti-HBV surface antigen-positive antiserum. The results showed that 3 of the 10 antigenic peptides may be immunodominant because the antibodies against them existed more widely among the samples and their antibody titers were higher than those of other peptides. Using three dominant antigenic peptides, 293 serum samples were detected for HBV infection by FP assays; the results showed that the antibody-positive ratio was 51.9% and the sensitivity and specificity were 84.3% and 98.2%, respectively. In conclusion, a quantum dot-based FP assay is a very simple, rapid, and convenient method for determining immunodominant antigenic peptides and has great potential in applications such as epitope mapping, vaccine designing, or clinical disease diagnosis in the future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 26%
Student > Ph. D. Student 5 22%
Researcher 2 9%
Student > Bachelor 1 4%
Unspecified 1 4%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 22%
Medicine and Dentistry 2 9%
Biochemistry, Genetics and Molecular Biology 2 9%
Immunology and Microbiology 2 9%
Nursing and Health Professions 1 4%
Other 5 22%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2013.
All research outputs
#22,759,802
of 25,374,917 outputs
Outputs from Discover Nano
#798
of 1,146 outputs
Outputs of similar age
#182,568
of 206,726 outputs
Outputs of similar age from Discover Nano
#22
of 88 outputs
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We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.