Literature DB >> 10355631

Direct selection of EGF mutants displayed on filamentous phage using cells overexpressing EGF receptor.

C Souriau1, J Gracy, L Chiche, M Weill.   

Abstract

Understanding receptor-ligand interactions, and the signal transduction pathways they activate, is of great interest for the discovery of novel antagonists and agonists. In this report we describe a rapid and efficient procedure to evaluate the importance of several different epidermal growth factor (EGF) residues for the binding and activation of its receptor (EGFR). We constructed an EGF mutant library randomized at positions 13, 15 and 16 and expressed them on filamentous phages. Phage display is a powerful system, allowing rapid isolation of binding mutants. Since many of the most pharmacologically interesting receptors cannot be produced in a soluble form, we developed a technique to rapidly select receptor-binding molecules directly on cells. A luciferase assay, simple to perform, was then used to test their biological transduction activity and to rapidly detect mutants of interest. Analysis of the resulting sequences revealed that the wild-type amino acids at positions 13, 15 and 16 are optimized for binding and activity. EGF mutants with agonist properties were also isolated and tolerated substitutions were identified.

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Year:  1999        PMID: 10355631     DOI: 10.1515/BC.1999.059

Source DB:  PubMed          Journal:  Biol Chem        ISSN: 1431-6730            Impact factor:   3.915


  3 in total

1.  A combinatorial mutagenesis approach for functional epitope mapping on phage-displayed target antigen: application to antibodies against epidermal growth factor.

Authors:  Yanelys Cabrera Infante; Amaury Pupo; Gertrudis Rojas
Journal:  MAbs       Date:  2014-03-03       Impact factor: 5.857

2.  Engineered epidermal growth factor mutants with faster binding on-rates correlate with enhanced receptor activation.

Authors:  Jennifer L Lahti; Bertrand H Lui; Stayce E Beck; Stephen S Lee; Daphne P Ly; Michael T Longaker; George P Yang; Jennifer R Cochran
Journal:  FEBS Lett       Date:  2011-03-23       Impact factor: 4.124

3.  High-throughput de novo screening of receptor agonists with an automated single-cell analysis and isolation system.

Authors:  Nobuo Yoshimoto; Kenji Tatematsu; Masumi Iijima; Tomoaki Niimi; Andrés D Maturana; Ikuo Fujii; Akihiko Kondo; Katsuyuki Tanizawa; Shun'ichi Kuroda
Journal:  Sci Rep       Date:  2014-02-28       Impact factor: 4.379

  3 in total

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