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      Phage-DMS: A Comprehensive Method for Fine Mapping of Antibody Epitopes

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          Summary

          Understanding the antibody response is critical to developing vaccine and antibody-based therapies and has inspired the recent development of new methods to isolate antibodies. Methods to define the antibody-antigen interactions that determine specificity or allow escape have not kept pace. We developed Phage-DMS, a method that combines two powerful approaches—immunoprecipitation of phage peptide libraries and deep mutational scanning (DMS)—to enable high-throughput fine mapping of antibody epitopes. As an example, we designed sequences encoding all possible amino acid variants of HIV Envelope to create phage libraries. Using Phage-DMS, we identified sites of escape predicted using other approaches for four well-characterized HIV monoclonal antibodies with known linear epitopes. In some cases, the results of Phage-DMS refined the epitope beyond what was determined in previous studies. This method has the potential to rapidly and comprehensively screen many antibodies in a single experiment to define sites essential for binding interactions.

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          Highlights

          • A high-throughput, comprehensive method to identify antibody epitopes is needed

          • Phage-DMS combines phage display technology and deep mutational scanning

          • Phage-DMS identified single mutations that lead to escape from HIV Env antibody binding

          • Effect of mutations in Phage-DMS correlate with results using a parallel approach

          Abstract

          Virology; Genomic Library

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          Most cited references35

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          Deep mutational scanning: a new style of protein science.

          Mutagenesis provides insight into proteins, but only recently have assays that couple genotype to phenotype been used to assess the activities of as many as 1 million mutant versions of a protein in a single experiment. This approach-'deep mutational scanning'-yields large-scale data sets that can reveal intrinsic protein properties, protein behavior within cells and the consequences of human genetic variation. Deep mutational scanning is transforming the study of proteins, but many challenges must be tackled for it to fulfill its promise.
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            High Resolution Mapping of Protein Sequence–Function Relationships

            We present a large-scale approach to investigate the functional consequences of sequence variation in a protein. The approach entails the display of hundreds of thousands of protein variants, moderate selection for activity, and high throughput DNA sequencing to quantify the performance of each variant. Using this strategy, we tracked the performance of >600,000 variants of a human WW domain after three and six rounds of selection by phage display for binding to its peptide ligand. Binding properties of these variants defined a high-resolution map of mutational preference across the WW domain; each position possessed unique features that could not be captured by a few representative mutations. Our approach could be applied to many in vitro or in vivo protein assays, providing a general means for understanding how protein function relates to sequence.
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              Viral immunology. Comprehensive serological profiling of human populations using a synthetic human virome.

              The human virome plays important roles in health and immunity. However, current methods for detecting viral infections and antiviral responses have limited throughput and coverage. Here, we present VirScan, a high-throughput method to comprehensively analyze antiviral antibodies using immunoprecipitation and massively parallel DNA sequencing of a bacteriophage library displaying proteome-wide peptides from all human viruses. We assayed over 10(8) antibody-peptide interactions in 569 humans across four continents, nearly doubling the number of previously established viral epitopes. We detected antibodies to an average of 10 viral species per person and 84 species in at least two individuals. Although rates of specific virus exposure were heterogeneous across populations, antibody responses targeted strongly conserved "public epitopes" for each virus, suggesting that they may elicit highly similar antibodies. VirScan is a powerful approach for studying interactions between the virome and the immune system. Copyright © 2015, American Association for the Advancement of Science.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                29 September 2020
                23 October 2020
                29 September 2020
                : 23
                : 10
                : 101622
                Affiliations
                [1 ]Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
                [2 ]Molecular and Cellular Biology Graduate Program, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, WA, USA
                [3 ]Divisions of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
                [4 ]Department of Genome Sciences, University of Washington, Seattle, WA, USA
                [5 ]Medical Scientist Training Program, University of Washington, Seattle, WA, USA
                [6 ]Genomics and Bioinformatics Shared Resource, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
                [7 ]Howard Hughes Medical Institute, Seattle, WA, USA
                Author notes
                []Corresponding author joverbau@ 123456fredhutch.org
                [8]

                Lead Contact

                Article
                S2589-0042(20)30814-2 101622
                10.1016/j.isci.2020.101622
                7566095
                33089110
                293a0b5f-d8ac-4d78-b6cc-b50796e64cb7
                © 2020 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 1 June 2020
                : 8 August 2020
                : 24 September 2020
                Categories
                Article

                virology,genomic library
                virology, genomic library

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