Literature DB >> 17242027

Selection of single domain binding proteins by covalent DNA display.

Julian Bertschinger1, Dragan Grabulovski, Dario Neri.   

Abstract

Selection technologies such as phage and ribosome display, which provide a physical linkage between genetic information and encoded polypeptide, are important tools for the engineering of proteins for diagnostic and therapeutic applications. We have recently described a selection strategy called covalent DNA display, in which individual proteins are covalently linked to the cognate encoding DNA template in separate droplets of a water-in-oil emulsion. We here report on the optimization of several experimental steps in covalent DNA display technology, such as the elution conditions and the PCR strategy used for the amplification of selected DNA templates. A PCR assembly strategy was developed, which allows the amplification of the DNA templates over repeated rounds of selection. In addition, we could demonstrate that approximately 50% of the DNA templates form a covalent adduct with the corresponding proteins in the compartments of a water-in-oil emulsion. In model selection experiments, differences in recovery efficiency <100 000 per round of selection could be observed when comparing a specific binding polypeptide with a binder of irrelevant specificity. Furthermore, the optimized protocol was successfully applied for the selection of single domain proteins, capable of specific binding to mouse serum albumin (MSA). A mutant derived from the SH3 domain of the Fyn kinase, with millimolar affinity to MSA, was affinity matured using covalent DNA display and yielded several MSA binding FynSH3 variants with dissociation constants in the 100 nM range.

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Year:  2007        PMID: 17242027     DOI: 10.1093/protein/gzl055

Source DB:  PubMed          Journal:  Protein Eng Des Sel        ISSN: 1741-0126            Impact factor:   1.650


  16 in total

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7.  Generation, characterization and structural data of chymase binding proteins based on the human Fyn kinase SH3 domain.

Authors:  Daniel Schlatter; Simon Brack; David W Banner; Sarah Batey; Jörg Benz; Julian Bertschinger; Walter Huber; Catherine Joseph; Arne Rufer; Anita van der Klooster; Martin Weber; Dragan Grabulovski; Michael Hennig
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8.  A highly scalable peptide-based assay system for proteomics.

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Journal:  Protein Eng Des Sel       Date:  2015-06-30       Impact factor: 1.650

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Journal:  Nucleic Acids Res       Date:  2009-07-17       Impact factor: 16.971

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