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
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

Pagination

764-776

Auteurs

Christian Fercher (C)

Australian Institute for Bioengineering and Nanotechnology, ARC Training Centre for Biopharmaceutical Innovation, The University of Queensland, St. Lucia, Queensland, 4072 Australia.
Australian Institute for Bioengineering and Nanotechnology, ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, The University of Queensland, St. Lucia, Queensland, 4072 Australia.

Martina L Jones (ML)

Australian Institute for Bioengineering and Nanotechnology, ARC Training Centre for Biopharmaceutical Innovation, The University of Queensland, St. Lucia, Queensland, 4072 Australia.

Stephen M Mahler (SM)

Australian Institute for Bioengineering and Nanotechnology, ARC Training Centre for Biopharmaceutical Innovation, The University of Queensland, St. Lucia, Queensland, 4072 Australia.

Simon R Corrie (SR)

Department of Chemical Engineering, ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Monash University, Clayton, Victoria 3800 Australia.

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Classifications MeSH