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Optimizing antibody expression by using the naturally occurring framework diversity in a live bacterial antibody
T Noelle Lombana1, Michael Dillon1, Jack Bevers1
1Department of Antibody Engineering, Genentech Research and Early Development, 1 DNA Way, South San Francisco, CA, 94080, USA.
Scientific Reports
|December 4, 2015
Summary
We developed a Bacterial Antibody Display (BAD) system to rapidly identify antibody variants with improved expression and stability. This method enhances therapeutic antibody development by screening for better yields and in vitro thermostability.
Area of Science:
- Biotechnology
- Protein Engineering
- Immunology
Background:
- Optimizing antibody expression and thermostability is crucial for developing therapeutic antibodies.
- Existing methods for assessing expression differences have limitations.
Purpose of the Study:
- To develop a novel Bacterial Antibody Display (BAD) system for assessing antibody expression and thermostability.
- To identify specific antibody variants that enhance expression yields and in vitro stability.
Main Methods:
- Developed a Bacterial Antibody Display (BAD) system for live-cell screening of full-length antibodies.
- Created a library of antibody framework variants using natural diversity from somatic hypermutation.
- Screened half-antibodies for improved expression using the BAD system.
Main Results:
- Identified antibody variants that significantly increase expression yields in both E. coli and mammalian cells.
- Demonstrated enhanced in vitro thermostability for therapeutically relevant antibodies.
- Validated the BAD system's ability to assess small expression differences.
Conclusions:
- The BAD system provides a robust method for rapid identification of antibody variants with improved expression and thermostability.
- The natural library design strategy can be applied to antibody humanization and in vitro display methods.
- Bacterial display technology has broader applications in studying protein folding and translocation.
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