Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 885

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Self-assembling influenza nanoparticle vaccines elicit broadly neutralizing H1N1 antibodies

Open access
Kanekiyo, Masaru, Wei, Chih-Jen, Yassine, Hadi M., McTamney, Patrick M., Boyington, Jeffrey C., Whittle, James R. R., Rao, Srinivas S., Kong, Wing-Pui, Wang, Lingshu, Nabel, Gary J.·2013·Nature

Abstract

Influenza viruses pose a significant threat to the public and are a burden on global health systems. Each year, influenza vaccines must be rapidly produced to match circulating viruses, a process constrained by dated technology and vulnerable to unexpected strains emerging from humans and animal reservoirs. Here we use knowledge of protein structure to design self-assembling nanoparticles that elicit broader and more potent immunity than traditional influenza vaccines. The viral haemagglutinin was genetically fused to ferritin, a protein that naturally forms nanoparticles composed of 24 identical polypeptides. Haemagglutinin was inserted at the interface of adjacent subunits so that it spontaneously assembled and generated eight trimeric viral spikes on its surface. Immunization with this influenza nanoparticle vaccine elicited haemagglutination inhibition antibody titres more than tenfold higher than those from the licensed inactivated vaccine. Furthermore, it elicited neutralizing antibodies to two highly conserved vulnerable haemagglutinin structures that are targets of universal vaccines: the stem and the receptor binding site on the head. Antibodies elicited by a 1999 haemagglutinin–nanoparticle vaccine neutralized H1N1 viruses from 1934 to 2007 and protected ferrets from an unmatched 2007 H1N1 virus challenge. This structure-based, self-assembling synthetic nanoparticle vaccine improves the potency and breadth of influenza virus immunity, and it provides a foundation for building broader vaccine protection against emerging influenza viruses and other pathogens.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature12202

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 885

Metadata

Authors
Kanekiyo, M., Wei, C.-J., Yassine, H. M., McTamney, P. M., Boyington, J. C., Whittle, J. R. R., Rao, S. S., Kong, W.-P., Wang, L., & Nabel, G. J.
Venue
Nature
Published
2013-05-22
Volume
499
Issue
7456
Pages
102-106
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2002844537
Cited by
885
References
2
FWCI
31.13
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Self-assembling influenza nanoparticle vaccines elicit broadly neutralizing H1N1 antibodies. https://app.cochat.ai/papers/10.1038/nature12202
The paper
Kanekiyo, M., Wei, C.-J., Yassine, H. M., McTamney, P. M., Boyington, J. C., Whittle, J. R. R., Rao, S. S., Kong, W.-P., Wang, L., & Nabel, G. J. (2013). Self-assembling influenza nanoparticle vaccines elicit broadly neutralizing H1N1 antibodies. Nature. https://doi.org/10.1038/nature12202

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.