| Literature DB >> 28414024 |
Haohai Zhang1, Leo Li-Ying Chan2, William Rice2, Nasim Kassam3, Maria Serena Longhi4, Haitao Zhao5, Simon C Robson4, Wenda Gao6, Yan Wu7.
Abstract
Hybridoma screening is a critical step for antibody discovery, which necessitates prompt identification of potential clones from hundreds to thousands of hybridoma cultures against the desired immunogen. Technical issues associated with ELISA- and flow cytometry-based screening limit accuracy and diminish high-throughput capability, increasing time and cost. Conventional ELISA screening with coated antigen is also impractical for difficult-to-express hydrophobic membrane antigens or multi-chain protein complexes. Here, we demonstrate novel high-throughput screening methodology employing the Celigo Image Cytometer, which avoids nonspecific signals by contrasting antibody binding signals directly on living cells, with and without recombinant antigen expression. The image cytometry-based high-throughput screening method was optimized by detecting the binding of hybridoma supernatants to the recombinant antigen CD39 expressed on Chinese hamster ovary (CHO) cells. Next, the sensitivity of the image cytometer was demonstrated by serial dilution of purified CD39 antibody. Celigo was used to measure antibody affinities of commercial and in-house antibodies to membrane-bound CD39. This cell-based screening procedure can be completely accomplished within one day, significantly improving throughput and efficiency of hybridoma screening. Furthermore, measuring direct antibody binding to living cells eliminated both false positive and false negative hits. The image cytometry method was highly sensitive and versatile, and could detect positive antibody in supernatants at concentrations as low as ~5ng/mL, with concurrent Kd binding affinity coefficient determination. We propose that this screening method will greatly facilitate antibody discovery and screening technologies.Entities:
Keywords: Antibody discovery; Celigo; High-throughput; Hybridoma screening; Image cytometry
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Year: 2017 PMID: 28414024 PMCID: PMC5538021 DOI: 10.1016/j.jim.2017.04.003
Source DB: PubMed Journal: J Immunol Methods ISSN: 0022-1759 Impact factor: 2.303