Evidence map›Paper›PMID 32614923›Full record

ArticlePLoS pathogens2020

Single cell heterogeneity in influenza A virus gene expression shapes the innate antiviral response to infection.

Jiayi Sun, J Cristobal Vera, Jenny Drnevich, Yen Ting Lin, Ruian Ke, Christopher B Brooke

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

59 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Single-cell RNA sequencing offers novel perspectives in viral infection research.Frontiers in cellular and infection microbiology · 2026
    Pooled it
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  13. Intrinsic OASL expression governs heterogeneity in interferon induction during influenza A virus infection.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  16. Human Assembloid Model of Emergent Neurotropic Enteroviruses.bioRxiv : the preprint server for biology · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jiayi SunDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0003-3598-9528
J Cristobal VeraDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.
Jenny DrnevichHigh-Performance Biological Computing at the Roy J. Carver Biotechnology Center, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0002-1401-8311
Yen Ting LinInformation Sciences Group, Computer, Computational and Statistical Sciences DIvision (CCS-3), Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Ruian KeT-6, Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.
Christopher B BrookeDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.ORCID 0000-0002-6815-1193
University of Illinois Urbana-Champaign · USLos Alamos National Laboratory · US

Funding

The effects of influenza virus genomic heterogeneity on replication dynamics and the host responseR01AI139246 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BROOKE, CHRISTOPHER BYRON · 2018 to 2022
$1.9M
NIAID NIH HHS R01 AI139246
6 · The paper itself

Abstract

Viral infection outcomes are governed by the complex and dynamic interplay between the infecting virus population and the host response. It is increasingly clear that both viral and host cell populations are highly heterogeneous, but little is known about how this heterogeneity influences infection dynamics or viral pathogenicity. To dissect the interactions between influenza A virus (IAV) and host cell heterogeneity, we examined the combined host and viral transcriptomes of thousands of individual cells, each infected with a single IAV virion. We observed complex patterns of viral gene expression and the existence of multiple distinct host transcriptional responses to infection at the single cell level. We show that human H1N1 and H3N2 strains differ significantly in patterns of both viral and host anti-viral gene transcriptional heterogeneity at the single cell level. Our analyses also reveal that semi-infectious particles that fail to express the viral NS can play a dominant role in triggering the innate anti-viral response to infection. Altogether, these data reveal how patterns of viral population heterogeneity can serve as a major determinant of antiviral gene activation.

Indexed as

A549 CellsGene Expression Regulation, ViralHumansImmunity, InnateInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanViral Nonstructural ProteinsNS protein, influenza virusViral Nonstructural Proteins

Identifiers

PMID32614923
PMCPMC7363107
OpenAlexW3040122627

What OpenQuestion holds

Textmetadata
LicenceCC0
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.