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Development of antibody arrays for monoclonal antibody Higher Order Structure analysis

Overview of attention for article published in Frontiers in Pharmacology, January 2013
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Title
Development of antibody arrays for monoclonal antibody Higher Order Structure analysis
Published in
Frontiers in Pharmacology, January 2013
DOI 10.3389/fphar.2013.00103
Pubmed ID
Authors

Xing Wang, Qing Li, Michael Davies

Abstract

Antibody arrays were developed to probe a monoclonal antibody's three-dimensional structure (3-D structure). Peptides with overlapping regions were designed to cover the whole mAb light chain and heavy chain, respectively, and used to generate polyclonal antibodies after the conjugation of the peptides to a carrier protein, KLH. It was shown that good peptide specificity was achieved from the antibodies generated. Using more than 30 different polyclonal antibodies to measure the surface epitope distribution, it was shown that the mAb antibody array can detect epitope exposure as low as 0.1% of defined mAb populations. This ELISA-based analysis of mAb epitope exposure can be considered as a measurement of "conformational impurity" in biologics development, similar to the analysis of other product-related impurities such as different forms of glycosylation, deamidation, and oxidation. This analysis of "conformational impurity" could provide valuable information on the mAb conformational comparability for biosimilar mAbs as well as novel mAbs, especially in the area of protein immunogenicity. Furthermore, stability studies indicated that there are several conformational "hot spots" in many mAbs tested, especially in the hinge region. This antibody array technology can be used for novel mAb Higher Order Structure (HOS) analysis during process and formulation development. Another important area of application is for biosimilar mAb development where the innovator molecule and biosimilar molecule could be compared based on their systemic "fingerprint" from the 30 plus antibodies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ecuador 2 5%
Hungary 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 40%
Student > Ph. D. Student 9 21%
Student > Master 4 9%
Student > Bachelor 3 7%
Other 2 5%
Other 1 2%
Unknown 7 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Pharmacology, Toxicology and Pharmaceutical Science 5 12%
Biochemistry, Genetics and Molecular Biology 5 12%
Medicine and Dentistry 5 12%
Chemistry 4 9%
Other 4 9%
Unknown 9 21%
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 21 August 2013.
All research outputs
#20,198,525
of 22,716,996 outputs
Outputs from Frontiers in Pharmacology
#9,935
of 15,949 outputs
Outputs of similar age
#248,774
of 280,757 outputs
Outputs of similar age from Frontiers in Pharmacology
#92
of 167 outputs
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We're also able to compare this research output to 167 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.