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Updated: May 21, 2026
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Construction of Synthetic Phage Displayed Fab Library with Tailored Diversity
Published on: May 1, 2018
Generation of human Fab libraries for phage display.
1Experimental Transplantation and Immunology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. raderc@mail.nih.gov
Methods in Molecular Biology (Clifton, N.J.)
|June 23, 2012
Summary
This study details generating human antibody libraries from patient cells for phage display selection. This method efficiently produces fully human monoclonal antibodies, especially from limited clinical samples with specific immune responses.
Area of Science:
- Immunology
- Molecular Biology
- Biotechnology
Background:
- Generating human monoclonal antibodies is crucial for therapeutic development.
- Phage display technology offers a powerful platform for antibody discovery.
- Accessing diverse human antibody repertoires, particularly from patients with specific immune responses, remains a challenge.
Purpose of the Study:
- To describe a protocol for generating human antibody libraries in Fab format.
- To enable the selection of fully human monoclonal antibodies using phage display.
- To facilitate antibody discovery from limited clinical specimens, focusing on endogenous antibody responses.
Main Methods:
- Isolation of mononuclear cells from human peripheral blood or bone marrow.
- Construction of antibody fragment (Fab) libraries.
- Selection of antibody clones using phage display technology.
Main Results:
- Successful generation of human antibody libraries from 2.5 × 10(7) cells.
- The protocol is applicable to both naïve and immune antibody repertoires.
- The method is optimized for antibody discovery from patients with specific immune responses and limited sample availability.
Conclusions:
- This protocol provides a robust method for creating human Fab antibody libraries.
- It enables efficient selection of fully human monoclonal antibodies via phage display.
- The approach is particularly valuable for mining antibody repertoires from specific patient populations with limited specimens.
