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SpyMask enables combinatorial assembly of bispecific binders

Abstract:
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
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41467-024-46599-9

Authors

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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0003-2285-6910
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0002-4873-6960
More by this author
Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-8870-7147


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Funder identifier:
10.13039/501100000268
Grant:
BB/T008784/1


Publisher:
Nature Research
Journal:
Nature Communications More from this journal
Volume:
15
Issue:
1
Pages:
2403
Article number:
2403
Publication date:
2024-03-16
DOI:
EISSN:
2041-1723
ISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
1852760
Local pid:
pubs:1852760
Source identifiers:
W4392878849
Deposit date:
2026-06-09
ARK identifier:
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