Literature DB >> 17646645

Phage escape libraries for checkmate analysis.

Tobin J Dickerson1, Kathleen M McKenzie, Amanda S Hoyt, Malcolm R Wood, Kim D Janda, Sydney B Brenner, Richard A Lerner.   

Abstract

Ligand-binding epitopes of proteins can mutate rapidly, as shown by viral mutations that lead to escape from neutralizing antibodies. We have undertaken to recreate in vitro the evolutionary competition between viral mutations that allow escape from antibody binding and host mutations that generate new neutralizing antibodies to the mutated viral antigen. To examine this vital race, we describe a phage-based method that allows rapid analysis of molecules that perturb the binding of proteins to their ligands. Because the system can amplify by replication, single-molecule sensitivity can be achieved. When combinatorial protein or small-molecule libraries are studied, large numbers of binding events can be analyzed simultaneously. Such libraries may be used in a sequential phage escape format, where cycles of phage binding and release of mutants are driven by antibodies or small molecules and the difficulty of escape increases at each cycle. Ultimately, the sequencing of the viral mutants allows annotation of the allowed trajectory of escape. Likewise, sequencing of the antibody perturbants charts the chemistry of the immune system response to the viral challenge. We have termed such analysis of competing mutations a "checkmate analysis." When viral systems are studied, a checkmate analysis allows experimental evaluation of the evolutionary contest between viruses and the immune system and may predict which antibodies and small-molecule ligands should be generated in anticipation of viral mutations before these mutations create viral epidemics.

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Year:  2007        PMID: 17646645      PMCID: PMC1937530          DOI: 10.1073/pnas.0705362104

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


  14 in total

1.  A method for the generation of combinatorial antibody libraries using pIX phage display.

Authors:  Changshou Gao; Shenlan Mao; Gunnar Kaufmann; Peter Wirsching; Richard A Lerner; Kim D Janda
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-18       Impact factor: 11.205

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Review 3.  Manufacturing immunity to disease in a test tube: the magic bullet realized.

Authors:  Richard A Lerner
Journal:  Angew Chem Int Ed Engl       Date:  2006-12-11       Impact factor: 15.336

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Authors:  J E Hanson; N K Sauter; J J Skehel; D C Wiley
Journal:  Virology       Date:  1992-08       Impact factor: 3.616

5.  Structure and receptor specificity of the hemagglutinin from an H5N1 influenza virus.

Authors:  James Stevens; Ola Blixt; Terrence M Tumpey; Jeffery K Taubenberger; James C Paulson; Ian A Wilson
Journal:  Science       Date:  2006-03-16       Impact factor: 47.728

6.  Yeast surface display for screening combinatorial polypeptide libraries.

Authors:  E T Boder; K D Wittrup
Journal:  Nat Biotechnol       Date:  1997-06       Impact factor: 54.908

7.  Lambda foo: a lambda phage vector for the expression of foreign proteins.

Authors:  I N Maruyama; H I Maruyama; S Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  1994-08-16       Impact factor: 11.205

8.  A large array of human monoclonal antibodies to type 1 human immunodeficiency virus from combinatorial libraries of asymptomatic seropositive individuals.

Authors:  D R Burton; C F Barbas; M A Persson; S Koenig; R M Chanock; R A Lerner
Journal:  Proc Natl Acad Sci U S A       Date:  1991-11-15       Impact factor: 11.205

9.  Generation of a large combinatorial library of the immunoglobulin repertoire in phage lambda.

Authors:  W D Huse; L Sastry; S A Iverson; A S Kang; M Alting-Mees; D R Burton; S J Benkovic; R A Lerner
Journal:  Science       Date:  1989-12-08       Impact factor: 47.728

Review 10.  Glycan microarray technologies: tools to survey host specificity of influenza viruses.

Authors:  James Stevens; Ola Blixt; James C Paulson; Ian A Wilson
Journal:  Nat Rev Microbiol       Date:  2006-10-02       Impact factor: 60.633

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