Literature DB >> 29714013

Rapid Mapping of Protein Binding Sites and Conformational Epitopes by Coupling Yeast Surface Display to Chemical Labeling and Deep Sequencing.

Tariq Ahmad Najar1, Shruti Khare1, Raghavan Varadarajan2,3.   

Abstract

Delineating the precise regions on an antigen that are targeted by antibodies is important for the development of vaccines and antibody therapeutics. X-ray crystallography and NMR are considered the gold standard for providing precise information about these binding sites at atomic resolution. However, these are labor-intensive and require purified protein at high concentration. We have recently described [1] a rapid and reliable method that overcomes these constraints, using a panel of single cysteine mutants of the protein of interest and now provide protocols to facilitate its adoption. Mutants are displayed on the yeast cell surface either individually or as a pool, and labeled covalently with a cysteine specific probe. Binding site residues are inferred by monitoring loss of ligand or antibody binding by flow cytometry coupled to deep sequencing of sorted populations, or Sanger sequencing of individual clones. Buried cysteine residues are not labeled and library sizes are small, facilitating rapid identification of binding-site residues. The methodology was used to identify epitopes on the bacterial toxin CcdB targeted by twenty-four different monoclonal antibodies as well as by polyclonal sera. The method does not require purified protein or protein structural information and can be applied to a variety of display formats.

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Keywords:  Chemical labeling; Cysteine mapping; Deep sequencing; Residue burial

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Year:  2018        PMID: 29714013     DOI: 10.1007/978-1-4939-7841-0_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  A facile method of mapping HIV-1 neutralizing epitopes using chemically masked cysteines and deep sequencing.

Authors:  Rohini Datta; Rohan Roy Chowdhury; Kavyashree Manjunath; Luke Elizabeth Hanna; Raghavan Varadarajan
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-09       Impact factor: 11.205

  1 in total

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