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Maes S, Deploey N, Peelman F, Eyckerman S. Deep mutational scanning of proteins in mammalian cells. CELL REPORTS METHODS 2023; 3:100641. [PMID: 37963462 PMCID: PMC10694495 DOI: 10.1016/j.crmeth.2023.100641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/06/2023] [Accepted: 10/20/2023] [Indexed: 11/16/2023]
Abstract
Protein mutagenesis is essential for unveiling the molecular mechanisms underlying protein function in health, disease, and evolution. In the past decade, deep mutational scanning methods have evolved to support the functional analysis of nearly all possible single-amino acid changes in a protein of interest. While historically these methods were developed in lower organisms such as E. coli and yeast, recent technological advancements have resulted in the increased use of mammalian cells, particularly for studying proteins involved in human disease. These advancements will aid significantly in the classification and interpretation of variants of unknown significance, which are being discovered at large scale due to the current surge in the use of whole-genome sequencing in clinical contexts. Here, we explore the experimental aspects of deep mutational scanning studies in mammalian cells and report the different methods used in each step of the workflow, ultimately providing a useful guide toward the design of such studies.
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Affiliation(s)
- Stefanie Maes
- VIB Center for Medical Biotechnology (CMB), Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium; Department of Biochemistry and Microbiology, Ghent University, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium; Department of Biomolecular Medicine, Ghent University, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium
| | - Nick Deploey
- VIB Center for Medical Biotechnology (CMB), Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium; Department of Biomolecular Medicine, Ghent University, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium
| | - Frank Peelman
- VIB Center for Medical Biotechnology (CMB), Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium; Department of Biomolecular Medicine, Ghent University, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium
| | - Sven Eyckerman
- VIB Center for Medical Biotechnology (CMB), Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium; Department of Biomolecular Medicine, Ghent University, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium.
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2
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Galloway JG, Sung K, Minot SS, Garrett ME, Stoddard CI, Willcox AC, Yaffe ZA, Yucha R, Overbaugh J, Matsen FA. phippery: a software suite for PhIP-Seq data analysis. Bioinformatics 2023; 39:btad583. [PMID: 37740324 PMCID: PMC10547927 DOI: 10.1093/bioinformatics/btad583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 08/14/2023] [Accepted: 09/20/2023] [Indexed: 09/24/2023] Open
Abstract
SUMMARY We present the phippery software suite for analyzing data from phage display methods that use immunoprecipitation and deep sequencing to capture antibody binding to peptides, often referred to as PhIP-Seq. It has three main components that can be used separately or in conjunction: (i) a Nextflow pipeline, phip-flow, to process raw sequencing data into a compact, multidimensional dataset format and allows for end-to-end automation of reproducible workflows. (ii) a Python API, phippery, which provides interfaces for tasks such as count normalization, enrichment calculation, multidimensional scaling, and more, and (iii) a Streamlit application, phip-viz, as an interactive interface for visualizing the data as a heatmap in a flexible manner. AVAILABILITY AND IMPLEMENTATION All software packages are publicly available under the MIT License. The phip-flow pipeline: https://github.com/matsengrp/phip-flow. The phippery library: https://github.com/matsengrp/phippery. The phip-viz Streamlit application: https://github.com/matsengrp/phip-viz.
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Affiliation(s)
- Jared G Galloway
- Computational Biology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Kevin Sung
- Computational Biology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Samuel S Minot
- Data Core, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Meghan E Garrett
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA
| | - Caitlin I Stoddard
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Alexandra C Willcox
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA
| | - Zak A Yaffe
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA
| | - Ryan Yucha
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98195, USA
| | - Julie Overbaugh
- Computational Biology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Frederick A Matsen
- Computational Biology, Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Howard Hughes Medical Institute, Seattle, WA, 98109, USA
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3
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Stoddard CI, Sung K, Yaffe ZA, Weight H, Beaudoin-Bussières G, Galloway J, Gantt S, Adhiambo J, Begnel ER, Ojee E, Slyker J, Wamalwa D, Kinuthia J, Finzi A, Matsen FA, Lehman DA, Overbaugh J. Elevated binding and functional antibody responses to SARS-CoV-2 in infants versus mothers. Nat Commun 2023; 14:4864. [PMID: 37567924 PMCID: PMC10421871 DOI: 10.1038/s41467-023-40554-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023] Open
Abstract
Infant antibody responses to viral infection can differ from those in adults. However, data on the specificity and function of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in infants, and direct comparisons between infants and adults are limited. Here, we characterize antibody binding and functionality against Wuhan-Hu-1 (B lineage) strain SARS-CoV-2 in convalescent plasma from 36 postpartum women and 14 of their infants infected with SARS-CoV-2 from a vaccine-naïve prospective cohort in Nairobi, Kenya. We find significantly higher antibody titers against SARS-CoV-2 Spike, receptor binding domain and N-terminal domain, and Spike-expressing cell-surface staining levels in infants versus mothers. Plasma antibodies from mothers and infants bind to similar regions of the Spike S2 subunit, including the fusion peptide (FP) and stem helix-heptad repeat 2. However, infants display higher antibody levels and more consistent antibody escape pathways in the FP region compared to mothers. Finally, infants have significantly higher levels of antibody-dependent cellular cytotoxicity (ADCC), though, surprisingly, Spike pseudovirus neutralization titers between infants and mothers are similar. These results suggest infants develop distinct SARS-CoV-2 binding and functional antibody activities and reveal age-related differences in humoral immunity to SARS-CoV-2 infection that could be relevant to protection and COVID-19 disease outcomes.
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Affiliation(s)
| | - Kevin Sung
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Zak A Yaffe
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Haidyn Weight
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Guillaume Beaudoin-Bussières
- Centre de Recherche du CHUM, Université de Montréal, Montreal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada
| | - Jared Galloway
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Soren Gantt
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal, Montreal, QC, Canada
| | - Judith Adhiambo
- Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Emily R Begnel
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Ednah Ojee
- Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - Jennifer Slyker
- Department of Global Health, University of Washington, Seattle, WA, USA
| | - Dalton Wamalwa
- Department of Pediatrics and Child Health, University of Nairobi, Nairobi, Kenya
| | - John Kinuthia
- Department of Global Health, University of Washington, Seattle, WA, USA
- Department of Research and Programs, Kenyatta National Hospital, Nairobi, Kenya
| | - Andrés Finzi
- Centre de Recherche du CHUM, Université de Montréal, Montreal, QC, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, QC, Canada
| | - Frederick A Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Dara A Lehman
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Department of Global Health, University of Washington, Seattle, WA, USA.
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
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4
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Yaffe ZA, Ding S, Sung K, Chohan V, Marchitto L, Doepker L, Ralph D, Nduati R, Matsen FA, Finzi A, Overbaugh J. Reconstruction of a polyclonal ADCC antibody repertoire from an HIV-1 non-transmitting mother. iScience 2023; 26:106762. [PMID: 37216090 PMCID: PMC10196594 DOI: 10.1016/j.isci.2023.106762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/24/2023] [Accepted: 04/24/2023] [Indexed: 05/24/2023] Open
Abstract
Human natural history and vaccine studies support a protective role of antibody dependent cellular cytotoxicity (ADCC) activity against many infectious diseases. One setting where this has consistently been observed is in HIV-1 vertical transmission, where passively acquired ADCC activity in HIV-exposed infants has correlated with reduced acquisition risk and reduced pathogenesis in HIV+ infants. However, the characteristics of HIV-specific antibodies comprising a maternal plasma ADCC response are not well understood. Here, we reconstructed monoclonal antibodies (mAbs) from memory B cells from late pregnancy in mother MG540, who did not transmit HIV to her infant despite several high-risk factors. Twenty mAbs representing 14 clonal families were reconstructed, which mediated ADCC and recognized multiple HIV Envelope epitopes. In experiments using Fc-defective variants, only combinations of several mAbs accounted for the majority of plasma ADCC of MG540 and her infant. We present these mAbs as evidence of a polyclonal repertoire with potent HIV-directed ADCC activity.
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Affiliation(s)
- Zak A. Yaffe
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA 98195, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA
| | - Shilei Ding
- Centre de Recherche du CHUM (CRCHUM), Montréal, QC H2X 0A9, Canada
| | - Kevin Sung
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Vrasha Chohan
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Lorie Marchitto
- Centre de Recherche du CHUM (CRCHUM), Montréal, QC H2X 0A9, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC H2X 0A9, Canada
| | - Laura Doepker
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Duncan Ralph
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ruth Nduati
- Department of Paediatrics and Child Health, University of Nairobi, Kenyatta National Hospital, Nairobi, Kenya
| | - Frederick A. Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Howard Hughes Medical Institute, Seattle, WA 98109, USA
| | - Andrés Finzi
- Centre de Recherche du CHUM (CRCHUM), Montréal, QC H2X 0A9, Canada
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montréal, QC H2X 0A9, Canada
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
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5
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Stoddard CI, Sung K, Yaffe ZA, Weight H, Beaudoin-Bussières G, Galloway J, Gantt S, Adhiambo J, Begnel ER, Ojee E, Slyker J, Wamalwa D, Kinuthia J, Finzi A, Matsen FA, Lehman DA, Overbaugh J. Elevated binding and functional antibody responses to SARS-CoV-2 in infants versus mothers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.06.527330. [PMID: 36798400 PMCID: PMC9934573 DOI: 10.1101/2023.02.06.527330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
Abstract
Infant antibody responses to viral infection can differ from those in adults. However, data on the specificity and function of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies in infants, and direct comparisons between infants and adults are limited. We characterized antibody binding and functionality in convalescent plasma from postpartum women and their infants infected with SARS-CoV-2 from a vaccine-naïve prospective cohort in Nairobi, Kenya. Antibody titers against SARS-CoV-2 Spike, receptor binding domain and N-terminal domain, and Spike-expressing cell-surface staining levels were significantly higher in infants than in mothers. Plasma antibodies from mothers and infants bound to similar regions of the Spike S2 subunit, including the fusion peptide (FP) and stem helix-heptad repeat 2. However, infants displayed higher antibody levels and more consistent antibody escape pathways in the FP region compared to mothers. Finally, infants had significantly higher levels of antibody-dependent cellular cytotoxicity (ADCC), though, surprisingly, neutralization titers between infants and mothers were similar. These results suggest infants develop distinct SARS-CoV-2 binding and functional antibody repertoires and reveal age-related differences in humoral immunity to SARS-CoV-2 infection that could be relevant to protection and COVID-19 disease outcomes.
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Affiliation(s)
| | - Kevin Sung
- Public Health Sciences Division, Fred Hutchinson Cancer Center
| | - Zak A Yaffe
- Human Biology Division, Fred Hutchinson Cancer Center
- Medical Scientist Training Program, University of Washington
| | - Haidyn Weight
- Human Biology Division, Fred Hutchinson Cancer Center
| | - Guillaume Beaudoin-Bussières
- Centre de Recherche du CHUM, Université de Montréal
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal
| | - Jared Galloway
- Public Health Sciences Division, Fred Hutchinson Cancer Center
| | - Soren Gantt
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal
- Centre de Recherche du CHU Sainte-Justine, Université de Montréal
| | - Judith Adhiambo
- Department of Pediatrics and Child Health, University of Nairobi
| | | | - Ednah Ojee
- Department of Pediatrics and Child Health, University of Nairobi
| | | | - Dalton Wamalwa
- Department of Pediatrics and Child Health, University of Nairobi
| | - John Kinuthia
- Department of Global Health, University of Washington
- Department of Research and Programs, Kenyatta National Hospital
| | - Andrés Finzi
- Centre de Recherche du CHUM, Université de Montréal
- Département de Microbiologie, Infectiologie et Immunologie, Université de Montréal
| | - Frederick A Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Center
- Howard Hughes Medical Institute
| | - Dara A Lehman
- Human Biology Division, Fred Hutchinson Cancer Center
- Department of Global Health, University of Washington
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Center
- Public Health Sciences Division, Fred Hutchinson Cancer Center
- Lead contact
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Xu Z, Ismanto HS, Zhou H, Saputri DS, Sugihara F, Standley DM. Advances in antibody discovery from human BCR repertoires. FRONTIERS IN BIOINFORMATICS 2022; 2:1044975. [PMID: 36338807 PMCID: PMC9631452 DOI: 10.3389/fbinf.2022.1044975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
Antibodies make up an important and growing class of compounds used for the diagnosis or treatment of disease. While traditional antibody discovery utilized immunization of animals to generate lead compounds, technological innovations have made it possible to search for antibodies targeting a given antigen within the repertoires of B cells in humans. Here we group these innovations into four broad categories: cell sorting allows the collection of cells enriched in specificity to one or more antigens; BCR sequencing can be performed on bulk mRNA, genomic DNA or on paired (heavy-light) mRNA; BCR repertoire analysis generally involves clustering BCRs into specificity groups or more in-depth modeling of antibody-antigen interactions, such as antibody-specific epitope predictions; validation of antibody-antigen interactions requires expression of antibodies, followed by antigen binding assays or epitope mapping. Together with innovations in Deep learning these technologies will contribute to the future discovery of diagnostic and therapeutic antibodies directly from humans.
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Affiliation(s)
- Zichang Xu
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hendra S. Ismanto
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hao Zhou
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Dianita S. Saputri
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Fuminori Sugihara
- Core Instrumentation Facility, Immunology Frontier Research Center, Osaka University, Suita, Japan
| | - Daron M. Standley
- Department of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
- Department Systems Immunology, Immunology Frontier Research Center, Osaka University, Suita, Japan
- *Correspondence: Daron M. Standley,
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7
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Shrock EL, Shrock CL, Elledge SJ. VirScan: High-throughput Profiling of Antiviral Antibody Epitopes. Bio Protoc 2022; 12:e4464. [PMID: 35937932 PMCID: PMC9303818 DOI: 10.21769/bioprotoc.4464] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 06/03/2020] [Accepted: 06/08/2022] [Indexed: 12/29/2022] Open
Abstract
Profiling the specificities of antibodies can reveal a wealth of information about humoral immune responses and the antigens they target. Here, we present a protocol for VirScan, an application of the phage immunoprecipitation sequencing (PhIP-Seq) method for profiling the specificities of human antiviral antibodies. Accompanying this protocol is a video of the experimental procedure. VirScan and, more generally, PhIP-Seq are techniques that enable high-throughput antibody profiling by combining high-throughput DNA oligo synthesis and bacteriophage display with next-generation sequencing. In the VirScan method, human sera samples are screened against a library of peptides spanning the entire human viral proteome. Bound phage are immunoprecipitated and sequenced, identifying the viral peptides recognized by the antibodies. VirScan Is a powerful tool for uncovering individual viral exposure histories, mapping the epitope landscape of viruses of interest, and studying fundamental mechanisms of viral immunity. Graphical abstract.
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Affiliation(s)
- Ellen L. Shrock
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
,
Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA
| | | | - Stephen J. Elledge
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
,
Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Howard Hughes Medical Institute, Boston, MA 02115, USA
,
*For correspondence:
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Willcox AC, Sung K, Garrett ME, Galloway JG, Erasmus JH, Logue JK, Hawman DW, Chu HY, Hasenkrug KJ, Fuller DH, Matsen IV FA, Overbaugh J. Detailed analysis of antibody responses to SARS-CoV-2 vaccination and infection in macaques. PLoS Pathog 2022; 18:e1010155. [PMID: 35404959 PMCID: PMC9022802 DOI: 10.1371/journal.ppat.1010155] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 04/21/2022] [Accepted: 03/21/2022] [Indexed: 02/02/2023] Open
Abstract
Macaques are a commonly used model for studying immunity to human viruses, including for studies of SARS-CoV-2 infection and vaccination. However, it is unknown whether macaque antibody responses resemble the response in humans. To answer this question, we employed a phage-based deep mutational scanning approach (Phage-DMS) to compare which linear epitopes are targeted on the SARS-CoV-2 Spike protein in convalescent humans, convalescent (re-infected) rhesus macaques, mRNA-vaccinated humans, and repRNA-vaccinated pigtail macaques. We also used Phage-DMS to determine antibody escape pathways within each epitope, enabling a granular comparison of antibody binding specificities at the locus level. Overall, we identified some common epitope targets in both macaques and humans, including in the fusion peptide (FP) and stem helix-heptad repeat 2 (SH-H) regions. Differences between groups included a response to epitopes in the N-terminal domain (NTD) and C-terminal domain (CTD) in vaccinated humans but not vaccinated macaques, as well as recognition of a CTD epitope and epitopes flanking the FP in convalescent macaques but not convalescent humans. There was also considerable variability in the escape pathways among individuals within each group. Sera from convalescent macaques showed the least variability in escape overall and converged on a common response with vaccinated humans in the SH-H epitope region, suggesting highly similar antibodies were elicited. Collectively, these findings suggest that the antibody response to SARS-CoV-2 in macaques shares many features with humans, but with substantial differences in the recognition of certain epitopes and considerable individual variability in antibody escape profiles, suggesting a diverse repertoire of antibodies that can respond to major epitopes in both humans and macaques. Differences in macaque species and exposure type may also contribute to these findings.
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Affiliation(s)
- Alexandra C. Willcox
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Medical Scientist Training Program, University of Washington, Seattle, Washington, United States of America
- Molecular and Cellular Biology Program, University of Washington, Seattle, Washington, United States of America
| | - Kevin Sung
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Meghan E. Garrett
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
- Molecular and Cellular Biology Program, University of Washington, Seattle, Washington, United States of America
| | - Jared G. Galloway
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Jesse H. Erasmus
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
- HDT Bio, Seattle, Washington, United States of America
| | - Jennifer K. Logue
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - David W. Hawman
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, United States of America
| | - Helen Y. Chu
- Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Kim J. Hasenkrug
- Laboratory of Persistent Viral Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, United States of America
| | - Deborah H. Fuller
- Department of Microbiology, University of Washington, Seattle, Washington, United States of America
- Infectious Diseases and Translational Medicine, Washington National Primate Research Center, Seattle, Washington, United States of America
- Center for Innate Immunity and Immune Disease, University of Washington, Seattle, Washington, United States of America
| | - Frederick A. Matsen IV
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
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9
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Garrett ME, Galloway JG, Wolf C, Logue JK, Franko N, Chu HY, Matsen FA, Overbaugh JM. Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection. eLife 2022; 11:73490. [PMID: 35072628 PMCID: PMC8887901 DOI: 10.7554/elife.73490] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 01/18/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Control of the COVID-19 pandemic will rely on SARS-CoV-2 vaccine-elicited antibodies to protect against emerging and future variants; an understanding of the unique features of the humoral responses to infection and vaccination, including different vaccine platforms, is needed to achieve this goal. Methods: The epitopes and pathways of escape for Spike-specific antibodies in individuals with diverse infection and vaccination history were profiled using Phage-DMS. Principal component analysis was performed to identify regions of antibody binding along the Spike protein that differentiate the samples from one another. Within these epitope regions, we determined potential sites of escape by comparing antibody binding of peptides containing wild-type residues versus peptides containing a mutant residue. Results: Individuals with mild infection had antibodies that bound to epitopes in the S2 subunit within the fusion peptide and heptad-repeat regions, whereas vaccinated individuals had antibodies that additionally bound to epitopes in the N- and C-terminal domains of the S1 subunit, a pattern that was also observed in individuals with severe disease due to infection. Epitope binding appeared to change over time after vaccination, but other covariates such as mRNA vaccine dose, mRNA vaccine type, and age did not affect antibody binding to these epitopes. Vaccination induced a relatively uniform escape profile across individuals for some epitopes, whereas there was much more variation in escape pathways in mildly infected individuals. In the case of antibodies targeting the fusion peptide region, which was a common response to both infection and vaccination, the escape profile after infection was not altered by subsequent vaccination. Conclusions: The finding that SARS-CoV-2 mRNA vaccination resulted in binding to additional epitopes beyond what was seen after infection suggests that protection could vary depending on the route of exposure to Spike antigen. The relatively conserved escape pathways to vaccine-induced antibodies relative to infection-induced antibodies suggests that if escape variants emerge they may be readily selected for across vaccinated individuals. Given that the majority of people will be first exposed to Spike via vaccination and not infection, this work has implications for predicting the selection of immune escape variants at a population level. Funding: This work was supported by NIH grants AI138709 (PI JMO) and AI146028 (PI FAM). JMO received support as the Endowed Chair for Graduate Education (FHCRC). The research of FAM was supported in part by a Faculty Scholar grant from the Howard Hughes Medical Institute and the Simons Foundation. Scientific Computing Infrastructure at Fred Hutch was funded by ORIP grant S10OD028685. When SARS-CoV-2 – the virus that causes COVID-19 – infects our bodies, our immune system reacts by producing small molecules called antibodies that stick to a part of the virus called the spike protein. Vaccines are thought to work by triggering the production of similar antibodies without causing disease. Some of the most effective antibodies against SARS-CoV-2 bind a specific area of the spike protein called the ‘receptor binding domain’ or RBD. When SARS-CoV-2 evolves it creates a challenge for our immune system: mutations, which are changes in the virus’s genetic code, can alter the shape of its spike protein, meaning that existing antibodies may no longer bind to it as effectively. This lowers the protection offered by past infection or vaccination, which makes it harder to tackle the pandemic. As it stands, it is not clear which mutations to the virus’s genetic code can affect antibody binding, especially to portions outside the RBD. To complicate things further, the antibodies people produce in response to mild infection, severe infection, and vaccination, while somewhat overlapping, exhibit some differences. Studying these differences could help minimize emergence of mutations that allow the virus to ‘escape’ the antibody response. A phage display library is a laboratory technique in which phages (viruses that infect bacteria) are used as a ‘repository’ for DNA fragments that code for a specific protein. The phages can then produce the protein (or fragments of it), and if the protein fragments bind to a target, it can be easily detected. Garrett, Galloway et al. exploited this technique to study how different portions of the SARS-CoV-2 spike protein were bound by antibodies. They made a phage library in which each phage encoded a portion of the spike protein with different mutations, and then exposed the different versions of the protein to antibodies from people who had experienced prior infection, vaccination, or both. The experiment showed that antibodies produced during severe infection or after vaccination bound to similar parts of the spike protein, while antibodies from people who had experienced mild infection targeted fewer areas. Garrett, Galloway et al. also found that mutations that affected the binding of antibodies produced after vaccination were more consistent than mutations that interfered with antibodies produced during infection. While these results show which mutations are most likely to help the virus escape existing antibodies, this does not mean that the virus will necessarily evolve in that direction. Indeed, some of the mutations may be impossible for the virus to acquire because they interfere with the virus’s ability to spread. Further studies could focus on revealing which of the mutations detected by Garrett, Galloway et al. are most likely to occur, to guide vaccine development in that direction. To help with this, Garrett, Galloway et al. have made the data accessible to other scientists and the public using a web tool.
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Affiliation(s)
- Meghan E Garrett
- Division of Human Biology, Fred Hutchinson Cancer Research Center
| | - Jared G Galloway
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center
| | - Caitlin Wolf
- Department of Medicine, University of Washington
| | | | | | - Helen Y Chu
- Department of Medicine, University of Washington
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Hanning KR, Minot M, Warrender AK, Kelton W, Reddy ST. Deep mutational scanning for therapeutic antibody engineering. Trends Pharmacol Sci 2021; 43:123-135. [PMID: 34895944 DOI: 10.1016/j.tips.2021.11.010] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/02/2021] [Accepted: 11/10/2021] [Indexed: 12/24/2022]
Abstract
The biophysical and functional properties of monoclonal antibody (mAb) drug candidates are often improved by protein engineering methods to increase the probability of clinical efficacy. One emerging method is deep mutational scanning (DMS) which combines the power of exhaustive protein mutagenesis and functional screening with deep sequencing and bioinformatics. The application of DMS has yielded significant improvements to the affinity, specificity, and stability of several preclinical antibodies alongside novel applications such as introducing multi-specific binding properties. DMS has also been applied directly on target antigens to precisely map antibody-binding epitopes and notably to profile the mutational escape potential of viral targets (e.g., SARS-CoV-2 variants). Finally, DMS combined with machine learning is enabling advances in the computational screening and engineering of therapeutic antibodies.
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Affiliation(s)
- Kyrin R Hanning
- Te Huataki Waiora School of Health, University of Waikato, Hamilton 3240, New Zealand
| | - Mason Minot
- Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH) Zurich, Basel 4058, Switzerland
| | - Annmaree K Warrender
- Te Huataki Waiora School of Health, University of Waikato, Hamilton 3240, New Zealand
| | - William Kelton
- Te Huataki Waiora School of Health, University of Waikato, Hamilton 3240, New Zealand.
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, Eidgenössische Technische Hochschule (ETH) Zurich, Basel 4058, Switzerland.
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11
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Willcox AC, Sung K, Garrett ME, Galloway JG, O’Connor MA, Erasmus JH, Logue JK, Hawman DW, Chu HY, Hasenkrug KJ, Fuller DH, Matsen FA, Overbaugh J. Macaque-human differences in SARS-CoV-2 Spike antibody response elicited by vaccination or infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021:2021.12.01.470697. [PMID: 34909774 PMCID: PMC8669841 DOI: 10.1101/2021.12.01.470697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Macaques are a commonly used model for studying immunity to human viruses, including for studies of SARS-CoV-2 infection and vaccination. However, it is unknown whether macaque antibody responses recapitulate, and thus appropriately model, the response in humans. To answer this question, we employed a phage-based deep mutational scanning approach (Phage-DMS) to compare which linear epitopes are targeted on the SARS-CoV-2 Spike protein in humans and macaques following either vaccination or infection. We also used Phage-DMS to determine antibody escape pathways within each epitope, enabling a granular comparison of antibody binding specificities at the locus level. Overall, we identified some common epitope targets in both macaques and humans, including in the fusion peptide (FP) and stem helix-heptad repeat 2 (SH-H) regions. Differences between groups included a response to epitopes in the N-terminal domain (NTD) and C-terminal domain (CTD) in vaccinated humans but not vaccinated macaques, as well as recognition of a CTD epitope and epitopes flanking the FP in convalescent macaques but not convalescent humans. There was also considerable variability in the escape pathways among individuals within each group. Sera from convalescent macaques showed the least variability in escape overall and converged on a common response with vaccinated humans in the SH-H epitope region, suggesting highly similar antibodies were elicited. Collectively, these findings suggest that the antibody response to SARS-CoV-2 in macaques shares many features with humans, but with substantial differences in the recognition of certain epitopes and considerable individual variability in antibody escape profiles, suggesting a diverse repertoire of antibodies that can respond to major epitopes in both humans and macaques.
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Affiliation(s)
- Alexandra C. Willcox
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Kevin Sung
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Meghan E. Garrett
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Molecular and Cellular Biology Program, University of Washington, Seattle, WA, USA
| | - Jared G. Galloway
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Megan A. O’Connor
- Department of Microbiology, University of Washington, Seattle, WA, USA
- Infectious Diseases and Translational Medicine, Washington National Primate Research Center, Seattle, WA, USA
| | - Jesse H. Erasmus
- Department of Microbiology, University of Washington, Seattle, WA, USA
- HDT Bio, Seattle, WA, USA
| | | | - David W. Hawman
- Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Helen Y. Chu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Kim J. Hasenkrug
- Laboratory of Persistent Viral Diseases, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, MT, USA
| | - Deborah H. Fuller
- Department of Microbiology, University of Washington, Seattle, WA, USA
- Infectious Diseases and Translational Medicine, Washington National Primate Research Center, Seattle, WA, USA
- Center for Innate Immunity and Immune Disease, University of Washington, Seattle, WA, USA
| | - Frederick A. Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Julie Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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12
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Garrett ME, Galloway JG, Wolf C, Logue JK, Franko N, Chu HY, Matsen FA, Overbaugh J. Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein after infection and/or vaccination. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2021. [PMID: 34642694 PMCID: PMC8509098 DOI: 10.1101/2021.10.05.463210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Background: Control of the COVID-19 pandemic will rely on SARS-CoV-2 vaccine-elicited antibodies to protect against emerging and future variants; an understanding of the unique features of the humoral responses to infection and vaccination, including different vaccine platforms, is needed to achieve this goal. Methods: The epitopes and pathways of escape for Spike-specific antibodies in individuals with diverse infection and vaccination history were profiled using Phage-DMS. Principal component analysis was performed to identify regions of antibody binding along the Spike protein that differentiate the samples from one another. Within these epitope regions we determined potential escape mutations by comparing antibody binding of peptides containing wildtype residues versus peptides containing a mutant residue. Results: Individuals with mild infection had antibodies that bound to epitopes in the S2 subunit within the fusion peptide and heptad-repeat regions, whereas vaccinated individuals had antibodies that additionally bound to epitopes in the N- and C-terminal domains of the S1 subunit, a pattern that was also observed in individuals with severe disease due to infection. Epitope binding appeared to change over time after vaccination, but other covariates such as mRNA vaccine dose, mRNA vaccine type, and age did not affect antibody binding to these epitopes. Vaccination induced a relatively uniform escape profile across individuals for some epitopes, whereas there was much more variation in escape pathways in in mildly infected individuals. In the case of antibodies targeting the fusion peptide region, which was a common response to both infection and vaccination, the escape profile after infection was not altered by subsequent vaccination. Conclusions: The finding that SARS-CoV-2 mRNA vaccination resulted in binding to additional epitopes beyond what was seen after infection suggests protection could vary depending on the route of exposure to Spike antigen. The relatively conserved escape pathways to vaccine-induced antibodies relative to infection-induced antibodies suggests that if escape variants emerge, they may be readily selected for across vaccinated individuals. Given that the majority of people will be first exposed to Spike via vaccination and not infection, this work has implications for predicting the selection of immune escape variants at a population level.
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13
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Garrett ME, Galloway J, Chu HY, Itell HL, Stoddard CI, Wolf CR, Logue JK, McDonald D, Weight H, Matsen FA, Overbaugh J. High-resolution profiling of pathways of escape for SARS-CoV-2 spike-binding antibodies. Cell 2021; 184:2927-2938.e11. [PMID: 34010620 PMCID: PMC8096189 DOI: 10.1016/j.cell.2021.04.045] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/26/2021] [Accepted: 04/23/2021] [Indexed: 01/02/2023]
Abstract
Defining long-term protective immunity to SARS-CoV-2 is one of the most pressing questions of our time and will require a detailed understanding of potential ways this virus can evolve to escape immune protection. Immune protection will most likely be mediated by antibodies that bind to the viral entry protein, spike (S). Here, we used Phage-DMS, an approach that comprehensively interrogates the effect of all possible mutations on binding to a protein of interest, to define the profile of antibody escape to the SARS-CoV-2 S protein using coronavirus disease 2019 (COVID-19) convalescent plasma. Antibody binding was common in two regions, the fusion peptide and the linker region upstream of the heptad repeat region 2. However, escape mutations were variable within these immunodominant regions. There was also individual variation in less commonly targeted epitopes. This study provides a granular view of potential antibody escape pathways and suggests there will be individual variation in antibody-mediated virus evolution.
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Affiliation(s)
- Meghan E Garrett
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA; Molecular and Cellular Biology Graduate Program, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, WA 98195, USA
| | - Jared Galloway
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA
| | - Helen Y Chu
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Hannah L Itell
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA; Molecular and Cellular Biology Graduate Program, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, WA 98195, USA
| | - Caitlin I Stoddard
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA
| | - Caitlin R Wolf
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jennifer K Logue
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Dylan McDonald
- Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Haidyn Weight
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA
| | - Frederick A Matsen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA; Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA
| | - Julie Overbaugh
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98102, USA.
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14
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Doepker LE, Danon S, Harkins E, Ralph DK, Yaffe Z, Garrett ME, Dhar A, Wagner C, Stumpf MM, Arenz D, Williams JA, Jaoko W, Mandaliya K, Lee KK, Matsen FA, Overbaugh JM. Development of antibody-dependent cell cytotoxicity function in HIV-1 antibodies. eLife 2021; 10:e63444. [PMID: 33427196 PMCID: PMC7884072 DOI: 10.7554/elife.63444] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 01/08/2021] [Indexed: 11/27/2022] Open
Abstract
A prerequisite for the design of an HIV vaccine that elicits protective antibodies is understanding the developmental pathways that result in desirable antibody features. The development of antibodies that mediate antibody-dependent cellular cytotoxicity (ADCC) is particularly relevant because such antibodies have been associated with HIV protection in humans. We reconstructed the developmental pathways of six human HIV-specific ADCC antibodies using longitudinal antibody sequencing data. Most of the inferred naive antibodies did not mediate detectable ADCC. Gain of antigen binding and ADCC function typically required mutations in complementarity determining regions of one or both chains. Enhancement of ADCC potency often required additional mutations in framework regions. Antigen binding affinity and ADCC activity were correlated, but affinity alone was not sufficient to predict ADCC potency. Thus, elicitation of broadly active ADCC antibodies may require mutations that enable high-affinity antigen recognition along with mutations that optimize factors contributing to functional ADCC activity.
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Affiliation(s)
- Laura E Doepker
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Sonja Danon
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Elias Harkins
- Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Duncan K Ralph
- Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Zak Yaffe
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Medical Scientist Training Program, University of Washington School of MedicineSeattleUnited States
| | - Meghan E Garrett
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Molecular and Cellular Biology Graduate Program, University of Washington and Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Amrit Dhar
- Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Department of Statistics, University of WashingtonSeattleUnited States
| | - Cassia Wagner
- Medical Scientist Training Program, University of Washington School of MedicineSeattleUnited States
| | - Megan M Stumpf
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Dana Arenz
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - James A Williams
- Department of Medicinal Chemistry, University of WashingtonSeattleUnited States
| | - Walter Jaoko
- Department of Medicinal Microbiology, University of NairobiNairobiKenya
| | - Kishor Mandaliya
- Coast Provincial General Hospital, Women’s Health ProjectMombasaKenya
| | - Kelly K Lee
- Department of Medicinal Chemistry, University of WashingtonSeattleUnited States
| | - Frederick A Matsen
- Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Julie M Overbaugh
- Human Biology Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
- Public Health Sciences Division, Fred Hutchinson Cancer Research CenterSeattleUnited States
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15
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Garrett ME, Galloway J, Chu HY, Itell HL, Stoddard CI, Wolf CR, Logue JK, McDonald D, Matsen FA, Overbaugh J. High resolution profiling of pathways of escape for SARS-CoV-2 spike-binding antibodies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2020:2020.11.16.385278. [PMID: 33236010 PMCID: PMC7685320 DOI: 10.1101/2020.11.16.385278] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Defining long-term protective immunity to SARS-CoV-2 is one of the most pressing questions of our time and will require a detailed understanding of potential ways this virus can evolve to escape immune protection. Immune protection will most likely be mediated by antibodies that bind to the viral entry protein, Spike (S). Here we used Phage-DMS, an approach that comprehensively interrogates the effect of all possible mutations on binding to a protein of interest, to define the profile of antibody escape to the SARS-CoV-2 S protein using COVID-19 convalescent plasma. Antibody binding was common in two regions: the fusion peptide and linker region upstream of the heptad repeat region 2. However, escape mutations were variable within these immunodominant regions. There was also individual variation in less commonly targeted epitopes. This study provides a granular view of potential antibody escape pathways and suggests there will be individual variation in antibody-mediated virus evolution.
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Affiliation(s)
- Meghan E Garrett
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jared Galloway
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Helen Y Chu
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Hannah L Itell
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington and Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Caitlin I Stoddard
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Caitlin R Wolf
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jennifer K Logue
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Dylan McDonald
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Frederick A Matsen
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Julie Overbaugh
- Division of Human Biology, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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