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Selection of phage antibodies by binding affinity. Mimicking affinity maturation
R E Hawkins1, S J Russell, G Winter
1MRC Laboratory of Molecular Biology, Cambridge, U.K.
Journal of Molecular Biology
|August 5, 1992
Summary
This study presents a phage display method for selecting antibodies based on antigen binding affinity or dissociation rate. Researchers improved antibody affinity fourfold by introducing mutations and applying affinity selection.
Area of Science:
- Biotechnology
- Immunology
- Molecular Biology
Background:
- Antibody selection is crucial for therapeutic development.
- Phage display technology offers a powerful platform for antibody engineering.
- Improving antibody affinity and kinetics is a key goal in antibody research.
Purpose of the Study:
- To develop and validate a phage display process for selecting antibodies based on affinity and dissociation kinetics.
- To engineer and isolate high-affinity antibody mutants using this selection method.
- To mimic affinity maturation observed in the immune system.
Main Methods:
- Antibody display on filamentous bacteriophage surfaces.
- Affinity selection using low concentrations of biotinylated antigen and streptavidin-coated paramagnetic beads.
- Off-rate selection by diluting pre-bound antigen-antibody complexes into excess unlabeled antigen.
- In vitro mutagenesis of antibody genes using error-prone polymerase.
Main Results:
- A novel phage display selection process for both antibody affinity and off-rate was established.
- The process successfully distinguished between antibodies with closely related affinities.
- Engineered antibody mutants showed significantly improved affinity (fourfold increase) compared to the parent antibody.
- The observed affinity improvement in engineered mutants mirrored natural immune responses.
Conclusions:
- The described phage display method is effective for selecting antibodies based on binding affinity and dissociation kinetics.
- This technique enables rapid engineering of antibodies with enhanced binding properties.
- The approach provides a valuable tool for antibody discovery and optimization in various applications.