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High-Throughput IgG Reformatting and Expression Using Hybrid Secretion Signals and InTag Positive Selection
Georgina Sansome1, Veronika Rayzman1, Irene Kiess1
1Research and Development, CSL Limited, Parkville, Australia.
Methods in Molecular Biology (Clifton, N.J.)
|September 7, 2023
Summary
Researchers simplified antibody engineering by creating hybrid secretion signals. This innovation streamlines the process of converting phage-displayed antibody fragments into full-length IgG antibodies for improved expression.
Area of Science:
- Molecular Biology
- Immunology
- Biotechnology
Background:
- Established protocols exist for high-throughput IgG reformatting and expression using phage-displayed antibody fragments.
- Existing methods can be cumbersome when dealing with diverse N-terminal sequences in phage libraries, complicating PCR amplification.
- The 5' PCR primer binding site is a critical point of difficulty in current antibody reformatting workflows.
Purpose of the Study:
- To overcome limitations in high-throughput IgG reformatting workflows.
- To simplify the PCR amplification step for diverse phage library clones.
- To enable efficient cloning of Fab fragments into IgG expression vectors.
Main Methods:
- Investigated the replacement of the C-terminal 7 amino acids of the human antibody VH1 secretion signal.
- Utilized bacterial ompA or pelB signal sequences to create hybrid signal sequences.
- Tested the efficacy of hybrid signals in driving IgG expression in Expi293F cells.
Main Results:
- Hybrid signal sequences, combining human VH1 with bacterial ompA or pelB signals, successfully drive strong IgG expression.
- The use of hybrid signals simplifies the amplification and cloning process.
- A single 5' PCR primer targeting the bacterial secretion signal is sufficient for cloning Fab fragments.
Conclusions:
- Hybrid secretion signals offer a significant simplification of the IgG reformatting workflow.
- This method dramatically streamlines the conversion of phage-displayed Fab fragments into expressible IgGs.
- The simplified workflow enhances the efficiency of antibody engineering and expression.

