Evidence map›Paper›PMID 36335937›Full record

ArticleCell reports2022

Molecular analysis of a public cross-neutralizing antibody response to SARS-CoV-2.

Meng Yuan, Yiquan Wang, Huibin Lv, Timothy J C Tan, Ian A Wilson, Nicholas C Wu

Abstract read
In one paragraph

Article in Cell reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Explore antibody repertoire in the era of AI.Acta biochimica et biophysica Sinica · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Retrospective SARS-CoV-2 human antibody development trajectories are largely sparse and permissive.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Structural Immunology of SARS-CoV-2.Immunological reviews · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Meng YuanDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Yiquan WangDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Huibin LvDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Timothy J C TanCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Ian A WilsonDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037, USA; The Skaggs Institute for Chemical Biology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Nicholas C WuDepartment of Biochemistry, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Center for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA; Carle Illinois College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address: nicwu@illinois.edu.

Funding

Sequence-function relationship of influenza broadly neutralizing antibodiesR01AI167910 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Nicholas C. Wu · 2022 to 2026
$2.5M
High-throughput identification of antibody features for sequence-based epitope predictionDP2AT011966 · NCCIH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI WU, NICHOLAS C. · 2021 to 2024
$2.4M
NCCIH NIH HHS DP2 AT011966NIAID NIH HHS R01 AI167910
6 · The paper itself

Abstract

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concerns (VOCs) continue to emerge, cross-neutralizing antibody responses become key toward next-generation design of a more universal COVID-19 vaccine. By analyzing published data from the literature, we report here that the combination of germline genes IGHV2-5/IGLV2-14 represents a public antibody response to the receptor-binding domain (RBD) that potently cross-neutralizes a broad range of VOCs, including Omicron and its sub-lineages. Detailed molecular analysis shows that the complementarity-determining region H3 sequences of IGHV2-5/IGLV2-14-encoded RBD antibodies have a preferred length of 11 amino acids and a conserved HxIxxI motif. In addition, these antibodies have a strong allelic preference due to an allelic polymorphism at amino acid residue 54 of IGHV2-5, which is located at the paratope. These findings have important implications for understanding cross-neutralizing antibody responses to SARS-CoV-2 and its heterogenicity at the population level as well as the development of a universal COVID-19 vaccine.

Indexed as

Antibodies, ViralBroadly Neutralizing AntibodiesCOVID-19COVID-19 VaccinesHumansReceptors, VirusSARS-CoV-2Antibodies, ViralBroadly Neutralizing AntibodiesCOVID-19 VaccinesReceptors, Virusallelic preferencebroadly neutralizingCOVID-19CP: ImmunologyCP: Microbiologydata miningpublic antibodySARS-CoV-2sequence analysisvariants of concern

Identifiers

PMID36335937
PMCPMC9606039

What OpenQuestion holds

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Registered trials

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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.