Literature DB >> 1378476

Multiple epitope interactions in the two-step sandwich immunoassay.

S A Fernando1, G S Wilson.   

Abstract

The 'hook' effect as related to the two-step sandwich immunoassay has been investigated experimentally and theoretically. The multiple epitope interactions between the analyte and the labeled antibody cause a 'hook' in the two-step sandwich immunoassay. Three different analytes and monoclonal antibodies were chosen to carefully demonstrate the effect of the analyte characteristics on this immunoassay. Two monoclonal antibodies against two different epitopes of biosynthetic human growth hormone (hGH) was the simplest model for this study. The sandwich immunoassay for hGH shows no 'hook' effect. The non-covalent dimeric form of hGH (D-hGH) possesses two repeating epitopes which is the simplest model for an analyte having a discrete number of repeating epitopes. The D-hGH assay demonstrated a 'hook' effect in the two-step sandwich immunoassay if the labeled antibody was allowed to interact with more than one epitope. In a third system multiple epitope interactions with the labeled antibody were observed using ferritin. The effect of the analyte concentration and the liquid-phase antibody have been examined to elucidate the nature of these various interactions. The cause of the 'hook' effect in the two-step sandwich immunoassay is attributed to the desorption of the bound analyte due to a conformational change after the labeled antibody interacts with several epitopes of the adsorbed analyte.

Entities:  

Mesh:

Substances:

Year:  1992        PMID: 1378476     DOI: 10.1016/0022-1759(92)90105-3

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  2 in total

1.  SH2-PLA: a sensitive in-solution approach for quantification of modular domain binding by proximity ligation and real-time PCR.

Authors:  Christopher M Thompson; Lee R Bloom; Mari Ogiue-Ikeda; Kazuya Machida
Journal:  BMC Biotechnol       Date:  2015-06-26       Impact factor: 2.563

2.  A high-throughput, precipitating colorimetric sandwich ELISA microarray for Shiga toxins.

Authors:  Andrew Gehring; Xiaohua He; Pina Fratamico; Joseph Lee; Lori Bagi; Jeffrey Brewster; George Paoli; Yiping He; Yanping Xie; Craig Skinner; Charlie Barnett; Douglas Harris
Journal:  Toxins (Basel)       Date:  2014-06-11       Impact factor: 4.546

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.