Literature DB >> 26216971

Efficient method to optimize antibodies using avian leukosis virus display and eukaryotic cells.

Changming Yu1, Gennett M Pike1, Tommy A Rinkoski1, Cristina Correia2, Scott H Kaufmann2, Mark J Federspiel3.   

Abstract

Antibody-based therapeutics have now had success in the clinic. The affinity and specificity of the antibody for the target ligand determines the specificity of therapeutic delivery and off-target side effects. The discovery and optimization of high-affinity antibodies to important therapeutic targets could be significantly improved by the availability of a robust, eukaryotic display technology comparable to phage display that would overcome the protein translation limitations of microorganisms. The use of eukaryotic cells would improve the diversity of the displayed antibodies that can be screened and optimized as well as more seamlessly transition into a large-scale mammalian expression system for clinical production. In this study, we demonstrate that the replication and polypeptide display characteristics of a eukaryotic retrovirus, avian leukosis virus (ALV), offers a robust, eukaryotic version of bacteriophage display. The binding affinity of a model single-chain Fv antibody was optimized by using ALV display, improving affinity >2,000-fold, from micromolar to picomolar levels. We believe ALV display provides an extension to antibody display on microorganisms and offers virus and cell display platforms in a eukaryotic expression system. ALV display should enable an improvement in the diversity of properly processed and functional antibody variants that can be screened and affinity-optimized to improve promising antibody candidates.

Entities:  

Keywords:  antibody binding affinity; antibody engineering; avian leukosis virus; avian leukosis virus polypeptide display; protein display technology

Mesh:

Substances:

Year:  2015        PMID: 26216971      PMCID: PMC4538638          DOI: 10.1073/pnas.1414754112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

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Authors:  Pranay D Khare; Stephen J Russell; Mark J Federspiel
Journal:  Virology       Date:  2003-10-25       Impact factor: 3.616

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Authors:  Pranay D Khare; Ana G Rosales; Kent R Bailey; Stephen J Russell; Mark J Federspiel
Journal:  Virology       Date:  2003-10-25       Impact factor: 3.616

Review 10.  The RCAS vector system.

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