Evidence map›Paper›PMID 33052349›Full record

ArticlebioRxiv : the preprint server for 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, Ajay K Sethi, Ann C Palmenberg, Miriam A Shelef, David H O'Connor, Irene M Ong

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

David A Baker
Saniya Khullar
Ajay K Sethi
Ann C Palmenberg
University of Wisconsin–Madison · US

Funding

Wisconsin Infant Study Cohort (WISC)U19AI104317 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI 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
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
NIAID NIH HHS T32 AI007414NIAID NIH HHS U19 AI104317NIA NIH HHS T32 AG000213NIGMS NIH HHS T32 GM008692NIH 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 one 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 six other known human CoVs. We also confirm reactivity against four of our top-ranking epitopes by enzyme-linked immunosorbent assay (ELISA). Illness severity correlated with increased reactivity to nine 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.

Identifiers

PMID33052349
PMCPMC7553183
OpenAlexW3092167583

What OpenQuestion holds

Textmetadata
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.