Evidence map›Paper›PMID 31461941›Full record

ArticleCells2019

RNA Sequencing of H3N2 Influenza Virus-Infected Human Nasal Epithelial Cells from Multiple Subjects Reveals Molecular Pathways Associated with Tissue Injury and Complications.

Kai Sen Tan, Anand Kumar Andiappan, Bernett Lee, Yan Yan, Jing Liu, See Aik Tang, Josephine Lum, Ting Ting He, Yew Kwang Ong, Mark Thong and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  9. Betacoronavirus-specific alternate splicing.bioRxiv : the preprint server for biology · 2021
    Article
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  11. Review
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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

15 authors at 3 institutions in 2 countries.

Kai Sen TanDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Anand Kumar AndiappanSingapore Immunology Network (SIgN), A*STAR, Singapore 138648, Singapore.ORCID 0000-0002-8442-1544
Bernett LeeSingapore Immunology Network (SIgN), A*STAR, Singapore 138648, Singapore.
Yan YanDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Jing LiuDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
See Aik TangSingapore Immunology Network (SIgN), A*STAR, Singapore 138648, Singapore.
Josephine LumSingapore Immunology Network (SIgN), A*STAR, Singapore 138648, Singapore.
Ting Ting HeDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Yew Kwang OngDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Mark ThongDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore.
Hui Fang LimDivision of Respiratory and Critical Care Medicine, National University Hospital, Singapore 119074, Singapore.
Hyung Won ChoiDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.
Olaf RotzschkeSingapore Immunology Network (SIgN), A*STAR, Singapore 138648, Singapore.
Vincent T ChowDepartment of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore. micctk@nus.edu.sg.ORCID 0000-0003-2634-6213
De Yun WangDepartment of Otolaryngology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore. entwdy@nus.edu.sg.
National University of Singapore · SGAgency for Science, Technology and Research · SGSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human nasal epithelium is the primary site of exposure to influenza virus, the initiator of host responses to influenza and the resultant pathologies. Influenza virus may cause serious respiratory infection resulting in major complications, as well as severe impairment of the airways. Here, we elucidated the global transcriptomic changes during H3N2 infection of human nasal epithelial cells from multiple individuals. Using RNA sequencing, we characterized the differentially-expressed genes and pathways associated with changes occurring at the nasal epithelium following infection. We used in vitro differentiated human nasal epithelial cell culture model derived from seven different donors who had no concurrent history of viral infections. Statistical analysis highlighted strong transcriptomic signatures significantly associated with 24 and 48 h after infection, but not at the earlier 8-h time point. In particular, we found that the influenza infection induced in the nasal epithelium early and altered responses in interferon gamma signaling, B-cell signaling, apoptosis, necrosis, smooth muscle proliferation, and metabolic alterations. These molecular events initiated at the infected nasal epithelium may potentially adversely impact the airway, and thus the genes we identified could serve as potential diagnostic biomarkers or therapeutic targets for influenza infection and associated disease management.

Indexed as

AnimalsCells, CulturedDogsEpithelial CellsHumansInfluenza A Virus, H3N2 SubtypeInfluenza, HumanNasal MucosaRNASequence Analysis, RNARNAepithelial responsesH3N2 virushuman nasal epithelial cells (hNECs)influenzapathogenesisRNA sequencingtranscriptomics

Identifiers

PMID31461941
PMCPMC6770044
OpenAlexW2970650747

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.