Abstract

Bispecific antibodies are a successful and expanding therapeutic class. Standard approaches to generate bispecifics are complicated by the need for disulfide reduction/oxidation or specialized formats. Here we present SpyMask, a modular approach to bispecifics using SpyTag/SpyCatcher spontaneous amidation. Two SpyTag-fused antigen-binding modules can be precisely conjugated onto DoubleCatcher, a tandem SpyCatcher where the second SpyCatcher is protease-activatable. We engineer a panel of structurally-distinct DoubleCatchers, from which binders project in different directions. We establish a generalized methodology for one-pot assembly and purification of bispecifics in 96-well plates. A panel of binders recognizing different HER2 epitopes were coupled to DoubleCatcher, revealing unexpected combinations with anti-proliferative or pro-proliferative activity on HER2-addicted cancer cells. Bispecific activity depended sensitively on both binder orientation and DoubleCatcher scaffold geometry. These findings support the need for straightforward assembly in different formats. SpyMask provides a scalable tool to discover synergy in bispecific activity, through modulating receptor organization and geometry.

Bispecific antibody architecture is often important for function but rarely optimized. Here, authors present a modular approach to assemble bispecifics in varied formats using a SpyTag/SpyCatcher approach called SpyMask, and build anti-HER2 bispecifics whose activities depend on binder orientation and bispecific geometry.

Details

Title
SpyMask enables combinatorial assembly of bispecific binders
Author
Driscoll, Claudia L. 1   VIAFID ORCID Logo  ; Keeble, Anthony H. 1 ; Howarth, Mark R. 1   VIAFID ORCID Logo 

 University of Oxford, Department of Biochemistry, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); University of Cambridge, Department of Pharmacology, Cambridge, UK (GRID:grid.5335.0) (ISNI:0000 0001 2188 5934) 
Pages
2403
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2957802636
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.