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Scalable High Throughput Selection From Phage-displayed Synthetic Antibody Libraries
Published on: January 17, 2015
Structure-guided phage display discovery of antibodies for (S)Tn-glycans in protein context
Ramon Hurtado-Guerrero1,2,3, Spyridon Gatos4, Irene Ginés-Alcober5
1Institute of Biocomputation and Physics of Complex Systems, University of Zaragoza, Campus Rio Ebro, Zaragoza, Spain. rhurtado@bifi.es.
Abstract:
Developing high-affinity monoclonal antibodies (mAbs) against tumor-associated carbohydrate antigens such as Tn and STn on carrier proteins remains a major challenge in cancer therapy. These antigens, expressed as glycan-peptide epitopes (combotopes), require precise recognition for high specificity. Through structural studies, we found that VH domains of certain antibodies primarily recognize glycans, whereas VL domains bind peptide sequences. Using these insights, we developed a VH-focused and VL-diverse phage display library to discover mAbs with combotope-binding characteristics. Notably, structural analysis enabled us to convert Tn-specific mAbs into STn-specific mAbs through modification of VH complementarity-determining region 3, demonstrating the versatility of this approach. Our hypothesis was validated with glycoprotein targets MUC1 and CD43, yielding antibodies with high specificity and affinity. Furthermore, internalization studies using the parental antibody scaffold show efficient uptake by tumor cells, supporting its use in antibody-drug conjugates. This platform addresses the challenge of generating glycoform-specific antibodies for cancer therapy.
Insights
Researchers developed a new method to create high-affinity monoclonal antibodies (mAbs) targeting cancer-specific carbohydrate antigens. This approach enhances specificity for tumor-associated glycan-peptide epitopes, improving cancer therapy potential.
Area of Science:
- Immunology
- Glycobiology
- Cancer Research
Background:
- Developing high-affinity monoclonal antibodies (mAbs) against tumor-associated carbohydrate antigens (Tn and STn) is crucial for cancer therapy but remains challenging.
- These antigens, present as glycan-peptide epitopes (combotopes), demand precise recognition for high specificity.
- Structural studies revealed distinct recognition roles for antibody VH (glycan) and VL (peptide) domains.
Purpose of the Study:
- To develop a platform for generating highly specific monoclonal antibodies against tumor-associated carbohydrate antigens.
- To leverage structural insights for designing antibodies with combotope-binding capabilities.
- To engineer existing antibodies for altered specificity against different glycoforms.
Main Methods:
- Creation of a VH-focused and VL-diverse phage display library.
- Utilizing structural analysis to guide antibody engineering, specifically modifying VH complementarity-determining region 3.
- Testing antibody specificity and affinity against glycoprotein targets MUC1 and CD43.
Main Results:
- Discovery of mAbs with high specificity and affinity for combotopes.
- Successful conversion of Tn-specific mAbs to STn-specific mAbs through targeted VH modification.
- Validation of the platform using MUC1 and CD43 targets.
Conclusions:
- The developed platform effectively addresses the challenge of generating glycoform-specific antibodies.
- Engineered antibodies demonstrate potential for targeted cancer therapy, including antibody-drug conjugates due to efficient tumor cell uptake.
- This approach offers a versatile strategy for discovering and optimizing antibodies against complex tumor-associated antigens.
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