Evidence map›Paper›PMID 34811480›Full record

ArticleCommunications biology2021

High-resolution epitope mapping and characterization of SARS-CoV-2 antibodies in large cohorts of subjects with COVID-19.

Winston A Haynes, Kathy Kamath, Joel Bozekowski, Elisabeth Baum-Jones, Melissa Campbell, Arnau Casanovas-Massana, Patrick S Daugherty, Charles S Dela Cruz, Abhilash Dhal, Shelli F Farhadian and 20 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 55 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors at 6 institutions in 1 country.

Winston A Haynes *Serimmune, Inc., Goleta, CA, USA.
Kathy Kamath *Serimmune, Inc., Goleta, CA, USA.ORCID 0000-0001-6143-3414
Joel Bozekowski *Serimmune, Inc., Goleta, CA, USA.
Elisabeth Baum-JonesSerimmune, Inc., Goleta, CA, USA.
Melissa CampbellDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Arnau Casanovas-MassanaDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Patrick S DaughertySerimmune, Inc., Goleta, CA, USA.
Charles S Dela CruzDepartment of Medicine, Section of Pulmonary and Critical Care Medicine, Yale University School of Medicine, New Haven, CT, USA.
Abhilash DhalSerimmune, Inc., Goleta, CA, USA.
Shelli F FarhadianDepartment of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-7230-1409
Lynn FitzgibbonsSanta Barbara Cottage Hospital, Santa Barbara, CA, USA.
John FournierDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Michael JhatroSerimmune, Inc., Goleta, CA, USA.ORCID 0000-0002-6694-9679
Gregory JordanSerimmune, Inc., Goleta, CA, USA.ORCID 0000-0001-5777-1568
Jon KleinDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-3552-7684
Carolina LucasDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0003-4590-2756
Debra KesslerNew York Blood Center, New York, NY, USA.
Larry L LuchsingerNew York Blood Center, New York, NY, USA.ORCID 0000-0002-0063-1764
Brian MartinezSerimmune, Inc., Goleta, CA, USA.
M Catherine MuenkerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0002-0450-0868
Lauren PischelDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.ORCID 0000-0002-7697-0084
Jack ReifertSerimmune, Inc., Goleta, CA, USA.
Jaymie R SawyerSerimmune, Inc., Goleta, CA, USA.
Rebecca WaitzSerimmune, Inc., Goleta, CA, USA.ORCID 0000-0003-1966-538X
Elsio A WunderDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
Minlu ZhangSerimmune, Inc., Goleta, CA, USA.
Yale IMPACT Team
Akiko IwasakiDepartment of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0002-7824-9856
Albert KoDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
John C ShonSerimmune, Inc., Goleta, CA, USA. john.shon@serimmune.com.ORCID 0000-0001-9465-6286
Yale University · USSerimmune (United States) · USYale New Haven Hospital · USHoward Hughes Medical Institute · USNew York Blood Center · USSanta Barbara Cottage Hospital · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TRAINING IN THE PATHOGENESIS OF INFECTIOUS DISEASEST32AI007517 · NIAID · YALE UNIVERSITY · PI Jaimie Meyer, Albert C Shaw · 1997 to 2026
$6.1M
NCATS NIH HHS UL1 TR001863NIAID NIH HHS T32 AI007517
6 · The paper itself

Abstract

As Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to spread, characterization of its antibody epitopes, emerging strains, related coronaviruses, and even the human proteome in naturally infected patients can guide the development of effective vaccines and therapies. Since traditional epitope identification tools are dependent upon pre-defined peptide sequences, they are not readily adaptable to diverse viral proteomes. The Serum Epitope Repertoire Analysis (SERA) platform leverages a high diversity random bacterial display library to identify proteome-independent epitope binding specificities which are then analyzed in the context of organisms of interest. When evaluating immune response in the context of SARS-CoV-2, we identify dominant epitope regions and motifs which demonstrate potential to classify mild from severe disease and relate to neutralization activity. We highlight SARS-CoV-2 epitopes that are cross-reactive with other coronaviruses and demonstrate decreased epitope signal for mutant SARS-CoV-2 strains. Collectively, the evolution of SARS-CoV-2 mutants towards reduced antibody response highlight the importance of data-driven development of the vaccines and therapies to treat COVID-19.

Indexed as

Antibodies, ViralCOVID-19Epitope MappingEpitopesSARS-CoV-2Antibodies, NeutralizingCohort StudiesCross ReactionsHumansSpike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralEpitopesSpike Glycoprotein, Coronavirus

Identifiers

PMID34811480
PMCPMC8608966
OpenAlexW3215623233

What OpenQuestion holds

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LicenceCC BY
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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.