Evidence map›Paper›PMID 24820965›Full record

ArticleScientific reports2014

High-throughput profiling of influenza A virus hemagglutinin gene at single-nucleotide resolution.

Nicholas C Wu, Arthur P Young, Laith Q Al-Mawsawi, C Anders Olson, Jun Feng, Hangfei Qi, Shu-Hwa Chen, I-Hsuan Lu, Chung-Yen Lin, Robert G Chin and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
13.7field-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

87 citing papers in PubMed, 165 citations in OpenAlex.

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  17. Predicting pathogen evolution and immune evasion in the age of artificial intelligence.Computational and structural biotechnology journal · 2025
    Review
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27 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

16 authors at 2 institutions in 2 countries.

Nicholas C Wu1] Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA [2] Molecular Biology Institute, University of California, Los Angeles, CA 90095, USA [3].
Arthur P Young1] Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA [2].
Laith Q Al-MawsawiDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
C Anders OlsonDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Jun FengDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Hangfei QiDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Shu-Hwa ChenInstitute of Information Science, Academia Sinica, Taipei, Taiwan.
I-Hsuan LuInstitute of Information Science, Academia Sinica, Taipei, Taiwan.
Chung-Yen LinInstitute of Information Science, Academia Sinica, Taipei, Taiwan.
Robert G ChinDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Harding H LuanDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Nguyen NguyenDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Stanley F Nelson1] Molecular Biology Institute, University of California, Los Angeles, CA 90095, USA [2] Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Xinmin LiDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Ting-Ting WuDepartment of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Ren Sun1] Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA [2] Molecular Biology Institute, University of California, Los Angeles, CA 90095, USA [3] AIDS Institute, University of California, Los Angeles, CA 90095, USA.
University of California, Los Angeles · USInstitute of Information Science, Academia Sinica · TW

Funding

Strain Specific Detection of Influenza at the Point-of-CareR01EB009764 · NIBIB · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SOH, HYONGSOK TOM · 2009 to 2012
$1.5M
NIBIB NIH HHS R01 EB009764NIBIB NIH HHS R01-EB-009764
6 · The paper itself

Abstract

Genetic research on influenza virus biology has been informed in large part by nucleotide variants present in seasonal or pandemic samples, or individual mutants generated in the laboratory, leaving a substantial part of the genome uncharacterized. Here, we have developed a single-nucleotide resolution genetic approach to interrogate the fitness effect of point mutations in 98% of the amino acid positions in the influenza A virus hemagglutinin (HA) gene. Our HA fitness map provides a reference to identify indispensable regions to aid in drug and vaccine design as targeting these regions will increase the genetic barrier for the emergence of escape mutations. This study offers a new platform for studying genome dynamics, structure-function relationships, virus-host interactions, and can further rational drug and vaccine design. Our approach can also be applied to any virus that can be genetically manipulated.

Indexed as

High-Throughput Nucleotide SequencingPolymorphism, Single NucleotideBinding SitesCell LineHemagglutinin Glycoproteins, Influenza VirusHumansInfluenza A Virus, H1N1 SubtypeModels, MolecularMutationPhenotypeProtein ConformationProtein Interaction Domains and MotifsStructure-Activity RelationshipHemagglutinin Glycoproteins, Influenza Virus

Identifiers

PMID24820965
PMCPMC4018626
OpenAlexW2044594296

What OpenQuestion holds

Textmetadata
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.