Evidence map›Paper›PMID 39531474›Full record

ArticlePLoS biology2024

Deep mutational scanning of H5 hemagglutinin to inform influenza virus surveillance.

Bernadeta Dadonaite, Jenny J Ahn, Jordan T Ort, Jin Yu, Colleen Furey, Annie Dosey, William W Hannon, Amy L Vincent Baker, Richard J Webby, Neil P King and 5 more

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Bernadeta DadonaiteBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, DC, United States of America.
Jenny J AhnDepartment of Microbiology, University of Washington, Seattle, Washington, DC, United States of America.
Jordan T OrtDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jin YuGlycosciences Laboratory, Faculty of Medicine, Imperial College London, London, United Kingdom.
Colleen FureyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Annie DoseyDepartment of Biochemistry, University of Washington, Seattle, Washington, DC, United States of America.
William W HannonBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, DC, United States of America.
Amy L Vincent BakerVirus and Prion Research Unit, National Animal Disease Center, USDA-ARS, Ames, Iowa, United States of America.
Richard J WebbyDepartment of Infectious Diseases, St. Jude Children's Research Hospital, Memphis, Tennessee, United States of America.
Neil P KingDepartment of Biochemistry, University of Washington, Seattle, Washington, DC, United States of America.
Yan LiuGlycosciences Laboratory, Faculty of Medicine, Imperial College London, London, United Kingdom.
Scott E HensleyDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Thomas P PeacockThe Pirbright Institute, Pirbright, Woking, United Kingdom.
Louise H MonclaDepartment of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jesse D BloomBasic Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Center, Seattle, Washington, DC, United States of America.ORCID 0000-0003-1267-3408

Funding

NIAID Centers of Excellence for Influenza Research and Response: Universal Influenza Vaccine Research Activities75N93021C00015 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENSLEY, SCOTT · 2021 to 2025
$50.7M
Forecasting influenza evolution on a heterogeneous immune landscapeR01AI165821 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Jesse D Bloom, JOHN HUDDLESTON · 2022 to 2026
$3.0M
Prospectively characterizing the functional and antigenic effects of mutations to viral entry proteinsR01AI141707 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2018 to 2022
$2.1M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
Quantifying the genetic and environmental factors driving avian influenza spilloverR00AI147029 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI MONCLA, LOUISE HILLIER · 2022 to 2023
$498k
NIAID NIH HHS 75N93021C00015NIAID NIH HHS R00 AI147029NIAID NIH HHS R01 AI141707NIAID NIH HHS R01 AI165821NIH HHS S10 OD020069NIH HHS S10 OD028685
6 · The paper itself

Abstract

H5 influenza is considered a potential pandemic threat. Recently, H5 viruses belonging to clade 2.3.4.4b have caused large outbreaks in avian and multiple nonhuman mammalian species. Previous studies have identified molecular phenotypes of the viral hemagglutinin (HA) protein that contribute to pandemic potential in humans, including cell entry, receptor preference, HA stability, and reduced neutralization by polyclonal sera. However, prior experimental work has only measured how these phenotypes are affected by a handful of the >10,000 different possible amino-acid mutations to HA. Here, we use pseudovirus deep mutational scanning to measure how all mutations to a 2.3.4.4b H5 HA affect each phenotype. We identify mutations that allow HA to better bind α2-6-linked sialic acids and show that some viruses already carry mutations that stabilize HA. We also measure how all HA mutations affect neutralization by sera from mice and ferrets vaccinated against or infected with 2.3.4.4b H5 viruses. These antigenic maps enable rapid assessment of when new viral strains have acquired mutations that may create mismatches with candidate vaccine virus, and we show that a mutation present in some recent H5 HAs causes a large antigenic change. Overall, the systematic nature of deep mutational scanning combined with the safety of pseudoviruses enables comprehensive measurements of the phenotypic effects of mutations that can inform real-time interpretation of viral variation observed during surveillance of H5 influenza.

Indexed as

FerretsHemagglutinin Glycoproteins, Influenza VirusMutationAnimalsAntibodies, ViralFemaleHumansInfluenza A virusInfluenza, HumanMiceOrthomyxoviridae InfectionsAntibodies, Viralhemagglutinin, avian influenza A virusHemagglutinin Glycoproteins, Influenza Virus

Identifiers

PMID39531474
PMCPMC11584116

What OpenQuestion holds

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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.