Literature DB >> 20814943

Epitope mapping using gram-positive surface display.

Johan Rockberg1, John Löfblom, Barbara Hjelm, Stefan Ståhl, Mathias Uhlén.   

Abstract

Antibodies have proven to be invaluable tools for a vast number of applications during the last decades, including protein purification and characterization, medical diagnosis and imaging, and treatment using therapeutic antibiotics. No matter what the aims of the application are, the antibody's binding characteristics will still be the main features determining the assay's reliability. Here, we describe a protocol for determination of antibody-binding epitopes using an antigen-focused, library-based approach where library members are generated by fragmentation of antigen DNA and presented as cloned peptides on the cell surface of the Gram-positive bacterium Staphylococcus carnosus. The rigid cell structure of this organism allows for multivalent expression and permits rapid library analysis and sorting of antibody-binding cells using flow-sorting devices. Epitopes are determined by DNA sequencing of the sorted cells and alignment back to the antigen sequence. The protocol described here has been shown useful for mapping of both monoclonal and polyclonal binders with varying epitope lengths.

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Year:  2010        PMID: 20814943     DOI: 10.1002/0471142735.im0909s90

Source DB:  PubMed          Journal:  Curr Protoc Immunol        ISSN: 1934-3671


  3 in total

1.  Multiplex epitope mapping using bacterial surface display reveals both linear and conformational epitopes.

Authors:  Elton P Hudson; Mathias Uhlen; Johan Rockberg
Journal:  Sci Rep       Date:  2012-10-04       Impact factor: 4.379

2.  Stratification of responders towards eculizumab using a structural epitope mapping strategy.

Authors:  Anna-Luisa Volk; Francis Jingxin Hu; Magnus M Berglund; Erik Nordling; Patrik Strömberg; Mathias Uhlen; Johan Rockberg
Journal:  Sci Rep       Date:  2016-08-11       Impact factor: 4.379

Review 3.  Staphylococcus carnosus: from starter culture to protein engineering platform.

Authors:  John Löfblom; Ralf Rosenstein; Minh-Thu Nguyen; Stefan Ståhl; Friedrich Götz
Journal:  Appl Microbiol Biotechnol       Date:  2017-10-02       Impact factor: 4.813

  3 in total

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