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Systematic Engineering of Optimized Autonomous Heavy-Chain Variable Domains

Authors :
June Ereño-Orbea
Peter M. Tessier
Johan Nilvebrant
Sachdev S. Sidhu
Mark C. Julian
Maryna Gorelik
Jean-Philippe Julien
Source :
Journal of Molecular Biology. 433:167241
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Autonomous heavy-chain variable (VH) domains are the smallest functional antibody fragments, and they possess unique features, including small size and convex paratopes, which provide enhanced targeting of concave epitopes that are difficult to access with larger conventional antibodies. However, human VH domains have evolved to fold and function with a light chain partner, and alone, they typically suffer from low stability and high aggregation propensity. Development of autonomous human VH domains, in which aggregation propensity is reduced without compromising antigen recognition, has proven challenging. Here, we used an autonomous human VH domain as a scaffold to construct phage-displayed synthetic libraries in which aspartate was systematically incorporated at different paratope positions. In selections, the library yielded many anti-EphA1 receptor VH domains, which were characterized in detail. Structural analyses of a parental anti-EphA1 VH domain and an improved variant provided insights into the effects of aspartate and other substitutions on preventing aggregation while retaining function. Our naive libraries and in vitro selection procedures offer a systematic approach to generating highly functional autonomous human VH domains that resist aggregation and could be used for basic research and biomedical applications.

Details

ISSN :
00222836
Volume :
433
Database :
OpenAIRE
Journal :
Journal of Molecular Biology
Accession number :
edsair.doi.dedup.....afa3dec440ab34f48f2bb1e8fa00a178