Evidence map›Paper›PMID 34234131›Full record

ArticleNature communications2021

Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies.

Allison J Greaney, Tyler N Starr, Christopher O Barnes, Yiska Weisblum, Fabian Schmidt, Marina Caskey, Christian Gaebler, Alice Cho, Marianna Agudelo, Shlomo Finkin and 9 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 papers.

0numbers the graph read from it
0cells of the map it votes in
296citing papers in PubMed
28.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

296 citing papers in PubMed, 469 citations in OpenAlex.

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  18. Constrained evolutionary funnels shape viral immune escape.Proceedings of the National Academy of Sciences of the United States of America · 2026
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236 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 6 institutions in 3 countries.

Allison J GreaneyBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0001-7202-3349
Tyler N StarrBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0001-6713-6904
Christopher O BarnesDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Yiska WeisblumLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Fabian SchmidtLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Marina CaskeyLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Christian GaeblerLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Alice ChoLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Marianna AgudeloLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Shlomo FinkinLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Zijun WangLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Daniel PostonLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Frauke MueckschLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.
Theodora HatziioannouLaboratory of Retrovirology, The Rockefeller University, New York, NY, USA.ORCID 0000-0002-7889-0766
Paul D BieniaszHoward Hughes Medical Institute, Chevy Chase, MD, USA.ORCID 0000-0002-2368-3719
Davide F RobbianiLaboratory of Molecular Immunology, The Rockefeller University, New York, NY, USA.
Michel C NussenzweigHoward Hughes Medical Institute, Chevy Chase, MD, USA.
Pamela J BjorkmanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0002-2277-3990
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA. jbloom@fredhutch.org.ORCID 0000-0003-1267-3408
Rockefeller University · USHoward Hughes Medical Institute · USCalifornia Institute of Technology · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAUniversità della Svizzera italiana · CHUniversity of Washington · US

Funding

Understanding B cell memory in response to diverse virus infectionsU19AI111825 · NIAID · ROCKEFELLER UNIVERSITY · PI WANG, TAIA · 2014 to 2023
$26.0M
University of Washington Arboviral Research Network (UWARN)U01AI151698 · NIAID · UNIVERSITY OF WASHINGTON · PI Michael Gale, PETER MACGARR RABINOWITZ · 2020 to 2026
$13.3M
Viral Pathogenesis Training ProgramT32AI083203 · NIAID · UNIVERSITY OF WASHINGTON · PI BLOOM, JESSE D, LAGUNOFF, MICHAEL · 2009 to 2023
$2.7M
High-throughput experiments to guide influenza vaccine strain selectionR01AI127893 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2016 to 2020
$2.1M
Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteinsR01AI141707 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2018 to 2022
$2.1M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Elucidating antiviral defenses against diverse immunodeficiency viruses using a novel, high-throughput CRISPR/Cas9 screening method.F30AI157898 · NIAID · WEILL MEDICAL COLL OF CORNELL UNIV · PI POSTON, DANIEL · 2021 to 2024
$191k
NIAID NIH HHS F30 AI157898NIAID NIH HHS P01 AI138398-S1NIAID NIH HHS R01 AI127893NIAID NIH HHS R01 AI141707NIAID NIH HHS T32 AI083203NIAID NIH HHS U01 AI151698NIAID NIH HHS U19 AI111825NIH HHS S10 OD028685
6 · The paper itself

Abstract

Monoclonal antibodies targeting a variety of epitopes have been isolated from individuals previously infected with SARS-CoV-2, but the relative contributions of these different antibody classes to the polyclonal response remains unclear. Here we use a yeast-display system to map all mutations to the viral spike receptor-binding domain (RBD) that escape binding by representatives of three potently neutralizing classes of anti-RBD antibodies with high-resolution structures. We compare the antibody-escape maps to similar maps for convalescent polyclonal plasmas, including plasmas from individuals from whom some of the antibodies were isolated. While the binding of polyclonal plasma antibodies are affected by mutations across multiple RBD epitopes, the plasma-escape maps most resemble those of a single class of antibodies that target an epitope on the RBD that includes site E484. Therefore, although the human immune system can produce antibodies that target diverse RBD epitopes, in practice the polyclonal response to infection is skewed towards a single class of antibodies targeting an epitope that is already undergoing rapid evolution.

Indexed as

Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralBinding SitesCOVID-19EpitopesHLA AntigensHumansImmune EvasionModels, MolecularMutationNeutralization TestsProtein DomainsSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralEpitopesHLA AntigensSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2

Identifiers

PMID34234131
PMCPMC8263750
OpenAlexW3179259355

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.