Evidence map›Paper›PMID 27271655›Full record

ArticleViruses2016

Accurate Measurement of the Effects of All Amino-Acid Mutations on Influenza Hemagglutinin.

Michael B Doud, Jesse D Bloom

Abstract read
In one paragraph

Article in Viruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 152 papers.

0numbers the graph read from it
0cells of the map it votes in
152citing 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

152 citing papers in PubMed.

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  12. Learning a viral protein's vocabulary.Nature ecology & evolution · 2026
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  17. Fitness Landscapes of APOBEC3G Antagonism by HIV-1 Vif proteins.bioRxiv : the preprint server for biology · 2025
    Article
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  19. Article
  20. Review

92 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

2 authors.

Michael B DoudDivision of Basic Sciences Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA. mbdoud@gmail.com.
Jesse D BloomDivision of Basic Sciences Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109, USA. jbloom@fredhutch.org.

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 VESPIGNANI, ALESSANDRO · 2014 to 2018
$12.5M
Mapping epistasis in molecular evolution: the influenza nucleoproteinR01GM102198 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2012 to 2016
$1.6M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NIGMS NIH HHS R01 GM102198NIGMS NIH HHS T32 GM007266NIGMS NIH HHS U54 GM111274NIH HHS S10 OD020069
6 · The paper itself

Abstract

Influenza genes evolve mostly via point mutations, and so knowing the effect of every amino-acid mutation provides information about evolutionary paths available to the virus. We and others have combined high-throughput mutagenesis with deep sequencing to estimate the effects of large numbers of mutations to influenza genes. However, these measurements have suffered from substantial experimental noise due to a variety of technical problems, the most prominent of which is bottlenecking during the generation of mutant viruses from plasmids. Here we describe advances that ameliorate these problems, enabling us to measure with greatly improved accuracy and reproducibility the effects of all amino-acid mutations to an H1 influenza hemagglutinin on viral replication in cell culture. The largest improvements come from using a helper virus to reduce bottlenecks when generating viruses from plasmids. Our measurements confirm at much higher resolution the results of previous studies suggesting that antigenic sites on the globular head of hemagglutinin are highly tolerant of mutations. We also show that other regions of hemagglutinin-including the stalk epitopes targeted by broadly neutralizing antibodies-have a much lower inherent capacity to tolerate point mutations. The ability to accurately measure the effects of all influenza mutations should enhance efforts to understand and predict viral evolution.

Indexed as

Amino Acid SubstitutionDNA Mutational AnalysisVirus ReplicationAnimalsCell LineDogsHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A virusMicrobial ViabilityMutant ProteinsVirulenceH1N1 virus hemagglutininHemagglutinin Glycoproteins, Influenza VirusMutant Proteinsdeep mutational scanningevolutionhemagglutinininfluenzamutational tolerance

Identifiers

PMID27271655
PMCPMC4926175

What OpenQuestion holds

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LicenceCC BY
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.