Impact of Antigen Density on Recognition by Monoclonal Antibodies

Understanding antigen–antibody interactions is important to many emerging medical and bioanalytical applications. In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immuno...

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Published inAnalytical biochemistry Vol. 92; no. 7; pp. 5396 - 5403
Main Authors Bar, Laure, Dejeu, Jérôme, Lartia, Rémy, Bano, Fouzia, Richter, Ralf P, Coche-Guérente, Liliane, Boturyn, Didier
Format Journal Article
LanguageEnglish
Published United States American Chemical Society 07.04.2020
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Summary:Understanding antigen–antibody interactions is important to many emerging medical and bioanalytical applications. In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immunotherapy. In this context, CD20 which is expressed in the membrane of B cells has received significant attention as target for immunotherapy of leukemia and lymphoma using the monoclonal antibody rituximab. To systematically study the impact of CD20 density on antibody recognition, we designed self-assembled monolayers that display tunable CD20 epitope densities. For this purpose, we developed in situ click chemistry to functionalize SPR sensor chips. We find that the rituximab binding affinity depends sensitively and nonmonotonously on CD20 surface density. Strongest binding, with an equilibrium dissociation constant (K D = 32 nM) close to values previously reported from in vitro analysis with B cells (apparent K D between 5 and 19 nM), was obtained for an average inter-antigen spacing of 2 nm. This distance is required for improving rituximab recognition, and in agreement with the known requirement of CD20 to form clusters to elicit a biological response. More generally, this study offers an interesting outlook in the understanding of the necessity of epitope clusters for effective mAb recognition.
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ISSN:0003-2700
0003-2697
1096-0309
1520-6882
DOI:10.1021/acs.analchem.0c00092