Deep sequencing combined with high‐throughput screening enables efficient development of a <scp>pH</scp>‐dependent high‐affinity binding domain targeting <scp>HER3</scp>
In vitro methods for developing binding domains have been well-established for many years, owing to the cost-efficient synthesis of DNA and high-throughput selection and screening technologies. However, generating high-affinity binding domains often requires the development of focused maturation libraries for a second selection, which typically demands a detailed understanding of the binding surfaces from the initial selection, a process that can be time-consuming. In this study, we accelerated this process by using deep sequencing data from the first selection to guide the design of the maturation library. Additionally, we employed a high-throughput screening system using flow cytometry based on Escherichia coli display to identify conditional binding domains from the selection output. This approach enabled the development of a high-affinity binder targeting the cancer biomarker HER3, with a binding affinity of 3.3 nM at extracellular pH 7.4, 100 times higher than the first-generation binding domain. Notably, the binding domain features a pH-dependent release mechanism, enabling rapid release in slightly acidic environments (pH ≈6), which resemble endosomal conditions. When conjugated to the cytotoxin mertansine (DM1), the binding domain demonstrated specific cytotoxic activity against HER3-expressing cell lines, with an IC50 of 2-5 nM. The presented approach enables the efficient development of conditional binding domains which hold promise for therapeutic applications.
Authors
- Johan Rockberg (ORCID: https://orcid.org/0000-0002-9977-5724)
- Marit Möller (ORCID: https://orcid.org/0000-0003-3138-6789)
- Sophia Hober (ORCID: https://orcid.org/0000-0003-0605-8417)
- Hanna Tegel (ORCID: https://orcid.org/0000-0002-7067-9173)
- John Löfblom (ORCID: https://orcid.org/0000-0001-9423-0541)
- Malin Jönsson (ORCID: https://orcid.org/0000-0002-1067-4784)
- Magnus Lundqvist
Institutions
- KTH Royal Institute of Technology (SE)
Publication Details
- Journal
- Protein Science
- Published
- 2025-07-26
- DOI
- https://doi.org/10.1002/pro.70247
- Primary Topic
- Monoclonal and Polyclonal Antibodies Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Cancerfonden
- Vetenskapsrådet