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Identification of Mouse and Human Antibody Repertoires by Next-Generation Sequencing
Published on: March 15, 2019
Antibody Isolation from Human Synthetic Libraries of Single-Chain Antibodies and Analysis Using NGS
Adi Amir1, David Taussig1, Almog Bitton2
1The Shmunis School of Biomedicine and Cancer Research, The George S. Wise Faculty of Life Sciences, Tel Aviv University, Tel Aviv, Israel.
Next-generation sequencing (NGS) analysis of phage biopanning, termed phage-Seq, enhances antibody discovery from complex antibody libraries. This method also provides valuable insights into the biopanning process itself.
Area of Science:
- Biotechnology
- Immunology
- Bioinformatics
Background:
- Antibody libraries emerged 30 years ago, enabled by immunoglobulin gene sequencing and PCR technology.
- Phage display and other screening technologies are crucial for identifying specific antibodies from these libraries.
- Phage display requires specialized expertise and is not a readily available kit-based technology.
Purpose of the Study:
- To demonstrate the utility of next-generation sequencing (NGS) analysis for phage biopanning (phage-Seq).
- To show how phage-Seq facilitates antibody discovery from complex antibody libraries.
- To illustrate how phage-Seq provides insights into the biopanning process.
Main Methods:
- Utilized phage display technology to construct and pan complex antibody libraries.
- Applied next-generation sequencing (NGS) to analyze the DNA sequence output from phage biopanning.
- Integrated bioinformatics tools for the analysis of large-scale sequencing data (phage-Seq).
Main Results:
- NGS analysis of phage biopanning (phage-Seq) effectively identifies desired binding specificities.
- Phage-Seq analysis streamlines the antibody discovery process from complex libraries.
- The method provides a deeper understanding of the dynamics and outcomes of the biopanning process.
Conclusions:
- Phage-Seq is a powerful approach for accelerating antibody discovery.
- Combining NGS with phage biopanning offers significant advantages over traditional methods.
- This integrated approach enhances both antibody identification and the optimization of discovery protocols.
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