Recombinant Antibody Engineering Enables Reversible Binding for Continuous Protein Biosensing.
antibody engineering
continuous biosensing
label-free
mutagenesis
unnatural amino acid
Journal
ACS sensors
ISSN: 2379-3694
Titre abrégé: ACS Sens
Pays: United States
ID NLM: 101669031
Informations de publication
Date de publication:
26 03 2021
26 03 2021
Historique:
pubmed:
23
1
2021
medline:
15
5
2021
entrez:
22
1
2021
Statut:
ppublish
Résumé
Engineering antibodies to improve target specificity, reduce detection limits, or introduce novel functionality is an important research area for biosensor development. While various affinity biosensors have been developed to generate an output signal upon varying analyte concentrations, reversible and continuous protein monitoring in complex biological samples remains challenging. Herein, we explore the concept of directed evolution to modulate dissociation kinetics of a high affinity anti-epidermal growth factor receptor (EGFR) single-chain variable antibody fragment (scFv) to enable continuous protein sensing in a label-free binding assay. A mutant scFv library was generated from the wild type (WT) fragment via targeted permutation of four residues in the antibody-antigen-binding interface. A single round of phage display biopanning complemented with high-throughput screening methods then permitted isolation of a specific binder with fast reaction kinetics. We were able to obtain ∼30 times faster dissociation rates when compared to the WT without appreciably affecting overall affinity and specificity by targeting a single paratope that is known to contribute to the binding interaction. Suitability of a resulting mutant fragment to sense varying antigen concentrations in continuous mode was demonstrated in a modified label-free binding assay, achieving low nanomolar detection limits (
Identifiants
pubmed: 33481587
doi: 10.1021/acssensors.0c01510
doi:
Substances chimiques
Recombinant Proteins
0
Single-Chain Antibodies
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM