University of Leicester
Browse
Carr_PNAS_1919565117.full.pdf (2.31 MB)

Extensive sequence and structural evolution of Arginase 2 inhibitory antibodies enabled by an unbiased approach to affinity maturation.

Download (2.31 MB)
journal contribution
posted on 2020-08-21, 11:05 authored by Denice TY Chan, Lesley Jenkinson, Stuart W Haynes, Mark Austin, Agata Diamandakis, Daniel Burschowsky, Chitra Seewooruthun, Alexandra Addyman, Sebastian Fiedler, Stephanie Ryman, Jessica Whitehouse, Louise H Slater, Ellen Gowans, Yoko Shibata, Michelle Barnard, Robert W Wilkinson, Tristan J Vaughan, Sarah V Holt, Vincenzo Cerundolo, Mark D Carr, Maria AT Groves
Affinity maturation is a powerful technique in antibody engineering for the in vitro evolution of antigen binding interactions. Key to the success of this process is the expansion of sequence and combinatorial diversity to increase the structural repertoire from which superior binding variants may be selected. However, conventional strategies are often restrictive and only focus on small regions of the antibody at a time. In this study, we used a method that combined antibody chain shuffling and a staggered-extension process to produce unbiased libraries, which recombined beneficial mutations from all six complementarity-determining regions (CDRs) in the affinity maturation of an inhibitory antibody to Arginase 2 (ARG2). We made use of the vast display capacity of ribosome display to accommodate the sequence space required for the diverse library builds. Further diversity was introduced through pool maturation to optimize seven leads of interest simultaneously. This resulted in antibodies with substantial improvements in binding properties and inhibition potency. The extensive sequence changes resulting from this approach were translated into striking structural changes for parent and affinity-matured antibodies bound to ARG2, with a large reorientation of the binding paratope facilitating increases in contact surface and shape complementarity to the antigen. The considerable gains in therapeutic properties seen from extensive sequence and structural evolution of the parent ARG2 inhibitory antibody clearly illustrate the advantages of the unbiased approach developed, which was key to the identification of high-affinity antibodies with the desired inhibitory potency and specificity.

Funding

Parts of the study were funded by Cancer Research UK Accelerator Award C1362/ A20263.

History

Citation

Extensive sequence and structural evolution of Arginase 2 inhibitory antibodies enabled by an unbiased approach to affinity maturation Denice T. Y. Chan, Lesley Jenkinson, Stuart W. Haynes, Mark Austin, Agata Diamandakis, Daniel Burschowsky, Chitra Seewooruthun, Alexandra Addyman, Sebastian Fiedler, Stephanie Ryman, Jessica Whitehouse, Louise H. Slater, Ellen Gowans, Yoko Shibata, Michelle Barnard, Robert W. Wilkinson, Tristan J. Vaughan, Sarah V. Holt, Vincenzo Cerundolo, Mark D. Carr, Maria A. T. Groves Proceedings of the National Academy of Sciences Jul 2020, 117 (29) 16949-16960; DOI: 10.1073/pnas.1919565117

Version

  • VoR (Version of Record)

Published in

Proceedings of the National Academy of Sciences (PNAS)

Volume

117

Issue

29

Pagination

16949-16960

Publisher

National Academy of Sciences

issn

0027-8424

eissn

1091-6490

Acceptance date

2020-05-22

Copyright date

2020

Available date

2020-08-21

Spatial coverage

United States

Language

eng

Publisher version

https://www.pnas.org/content/117/29/16949/

Usage metrics

    University of Leicester Publications

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC