Evidence map›Paper›PMID 30104379›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Deep mutational scanning of hemagglutinin helps predict evolutionary fates of human H3N2 influenza variants.

Juhye M Lee, John Huddleston, Michael B Doud, Kathryn A Hooper, Nicholas C Wu, Trevor Bedford, Jesse D Bloom

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 164 papers.

0numbers the graph read from it
0cells of the map it votes in
164citing papers in PubMed
15.6field-weighted citation impact, top 1% 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

164 citing papers in PubMed, 225 citations in OpenAlex.

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Juhye M LeeBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.
John HuddlestonVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.
Michael B DoudBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.ORCID 0000-0002-8172-6342
Kathryn A HooperBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109.
Nicholas C WuDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA 92037.
Trevor BedfordVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109; jbloom@fredhutch.org tbedford@fredhutch.org.
Jesse D BloomBasic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109; jbloom@fredhutch.org tbedford@fredhutch.org.ORCID 0000-0003-1267-3408
University of Washington · USFred Hutch Cancer Center · USScripps Research Institute · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Modeling the dynamics and evolution of immune responses to influenza virusesU19AI117891 · NIAID · EMORY UNIVERSITY · PI AHMED, RAFI, ANTIA, RUSTOM NOSHIR · 2015 to 2019
$8.4M
Real-time tracking of virus evolution for vaccine strain selection and epidemiological investigationR35GM119774 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2016 to 2025
$4.1M
High-throughput experiments to guide influenza vaccine strain selectionR01AI127893 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2016 to 2020
$2.1M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
Comprehensive antigenic mapping of seasonal influenza virusesF30AI136326 · NIAID · UNIVERSITY OF WASHINGTON · PI LEE, JUHYE MONICA · 2018 to 2020
$128k
Howard Hughes Medical InstituteNIAID NIH HHS F30 AI136326NIAID NIH HHS R01 AI127893NIAID NIH HHS U19 AI117891NIGMS NIH HHS R35 GM119774NIGMS NIH HHS T32 GM007266NIGMS NIH HHS U54 GM111274NIH HHS S10 OD020069
6 · The paper itself

Abstract

Human influenza virus rapidly accumulates mutations in its major surface protein hemagglutinin (HA). The evolutionary success of influenza virus lineages depends on how these mutations affect HA's functionality and antigenicity. Here we experimentally measure the effects on viral growth in cell culture of all single amino acid mutations to the HA from a recent human H3N2 influenza virus strain. We show that mutations that are measured to be more favorable for viral growth are enriched in evolutionarily successful H3N2 viral lineages relative to mutations that are measured to be less favorable for viral growth. Therefore, despite the well-known caveats about cell-culture measurements of viral fitness, such measurements can still be informative for understanding evolution in nature. We also compare our measurements for H3 HA to similar data previously generated for a distantly related H1 HA and find substantial differences in which amino acids are preferred at many sites. For instance, the H3 HA has less disparity in mutational tolerance between the head and stalk domains than the H1 HA. Overall, our work suggests that experimental measurements of mutational effects can be leveraged to help understand the evolutionary fates of viral lineages in nature-but only when the measurements are made on a viral strain similar to the ones being studied in nature.

Indexed as

Evolution, MolecularHemagglutinin Glycoproteins, Influenza VirusInfluenza A Virus, H3N2 SubtypeMutationAnimalsDogsHumansMadin Darby Canine Kidney CellsMutagenesisProtein DomainsHemagglutinin Glycoproteins, Influenza Virushemagglutinin, human influenza A virusdeep mutational scanningepistasishemagglutinininfluenza virusmutational shifts

Identifiers

PMID30104379
PMCPMC6126756
OpenAlexW2950672524

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.