Evidence map›Paper›PMID 34143766›Full record

ArticlePLoS biology2021

The landscape of antibody binding in SARS-CoV-2 infection.

Anna S Heffron, Sean J McIlwain, Maya F Amjadi, David A Baker, Saniya Khullar, Tammy Armbrust, Peter J Halfmann, Yoshihiro Kawaoka, Ajay K Sethi, Ann C Palmenberg and 3 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

58 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Anna S HeffronDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0001-7555-4137
Sean J McIlwainDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Maya F AmjadiDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0003-3825-3495
David A BakerDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Saniya KhullarDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-4166-874X
Tammy ArmbrustDepartment of Pathobiological Sciences, School of Veterinary Medicine, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Peter J HalfmannDepartment of Pathobiological Sciences, School of Veterinary Medicine, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-1648-1625
Yoshihiro KawaokaDepartment of Pathobiological Sciences, School of Veterinary Medicine, Influenza Research Institute, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Ajay K SethiDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-5537-9586
Ann C PalmenbergDepartment of Biochemistry, Institute for Molecular Virology, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-9682-8480
Miriam A ShelefDepartment of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-8842-0303
David H O'ConnorDepartment of Pathology and Laboratory Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0003-2139-470X
Irene M OngDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.ORCID 0000-0002-9353-6941
University of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI James E. Gern, CHRISTINE Marie SEROOGY · 2013 to 2026
$22.5M
INTEGRATED TRAINING FOR PHYSICIAN-SCIENTISTST32GM008692 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BURKARD, MARK E · 1998 to 2020
$10.3M
Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
Institutional Career Development CoreKL2TR002374 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI Bo Liu, Marin Leigh Schweizer · 2017 to 2026
$9.7M
Integrated Training For Physician-ScientistsT32GM140935 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Anna Huttenlocher, Jeniel E Nett · 2021 to 2026
$6.5M
Identifying Common T Cell Responses to Major Pathogens in Rhesus MacaquesR24OD017850 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI O'CONNOR, DAVID H. · 2014 to 2022
$5.8M
Parasitology and Vector Biology Training ProgramT32AI007414 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Lyric Colleen Bartholomay · 1992 to 2026
$4.5M
NCATS NIH HHS KL2 TR002374NCATS NIH HHS UL1 TR002373NCI NIH HHS P30 CA014520NIAID NIH HHS T32 AI007414NIAID NIH HHS U19 AI104317NIA NIH HHS T32 AG000213NIGMS NIH HHS T32 GM008692NIGMS NIH HHS T32 GM140935NIH HHS 2U19AI104317-06NIH HHS R24 OD017850
6 · The paper itself

Abstract

The search for potential antibody-based diagnostics, vaccines, and therapeutics for pandemic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has focused almost exclusively on the spike (S) and nucleocapsid (N) proteins. Coronavirus membrane (M), ORF3a, and ORF8 proteins are humoral immunogens in other coronaviruses (CoVs) but remain largely uninvestigated for SARS-CoV-2. Here, we use ultradense peptide microarray mapping to show that SARS-CoV-2 infection induces robust antibody responses to epitopes throughout the SARS-CoV-2 proteome, particularly in M, in which 1 epitope achieved excellent diagnostic accuracy. We map 79 B cell epitopes throughout the SARS-CoV-2 proteome and demonstrate that antibodies that develop in response to SARS-CoV-2 infection bind homologous peptide sequences in the 6 other known human CoVs. We also confirm reactivity against 4 of our top-ranking epitopes by enzyme-linked immunosorbent assay (ELISA). Illness severity correlated with increased reactivity to 9 SARS-CoV-2 epitopes in S, M, N, and ORF3a in our population. Our results demonstrate previously unknown, highly reactive B cell epitopes throughout the full proteome of SARS-CoV-2 and other CoV proteins.

Indexed as

Antibodies, ViralCoronavirusCOVID-19Cross ReactionsEpitopes, B-LymphocyteHumansImmunodominant EpitopesImmunoglobulin GProteomeSARS-CoV-2Severity of Illness IndexViral ProteinsAntibodies, ViralEpitopes, B-LymphocyteImmunodominant EpitopesImmunoglobulin GProteomeViral Proteins

Identifiers

PMID34143766
PMCPMC8245122
OpenAlexW3170326106

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.