Evidence map›Paper›PMID 23365422›Full record

ArticleJournal of virology2013

Release of severe acute respiratory syndrome coronavirus nuclear import block enhances host transcription in human lung cells.

Amy C Sims, Susan C Tilton, Vineet D Menachery, Lisa E Gralinski, Alexandra Schäfer, Melissa M Matzke, Bobbie-Jo M Webb-Robertson, Jean Chang, Maria L Luna, Casey E Long and 12 more

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 1 pooled it
9.7field-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

97 citing papers in PubMed, 1 synthesis or guideline pooled it, 147 citations in OpenAlex.

  1. Pooled it
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  12. COVID-19: A novel holistic systems biology approach to predict its molecular mechanisms (in vitro) and repurpose drugs.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2023
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37 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

22 authors at 5 institutions in 1 country.

Amy C SimsDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. sims0018@ad.unc.edu
Susan C Tilton
Vineet D Menachery
Lisa E Gralinski
Alexandra Schäfer
Melissa M Matzke
Bobbie-Jo M Webb-Robertson
Jean Chang
Maria L Luna
Casey E Long
Anil K Shukla
Armand R Bankhead
Susan E Burkett
Gregory Zornetzer
Chien-Te Kent Tseng
Thomas O Metz
Raymond Pickles
Shannon McWeeney
Richard D Smith
Michael G Katze
Katrina M Waters
Ralph S Baric
Pacific Northwest National Laboratory · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · USOregon Health & Science University · USThe University of Texas Medical Branch at Galveston · US

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Oregon Clinical and Translational Research InstituteUL1TR000128 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLISON, DAVID H · 2012 to 2015
$28.7M
NCATS NIH HHS UL1 TR000128NCI NIH HHS P30 CA069533NIAID NIH HHS HHSN272200800060C
6 · The paper itself

Abstract

The severe acute respiratory syndrome coronavirus accessory protein ORF6 antagonizes interferon signaling by blocking karyopherin-mediated nuclear import processes. Viral nuclear import antagonists, expressed by several highly pathogenic RNA viruses, likely mediate pleiotropic effects on host gene expression, presumably interfering with transcription factors, cytokines, hormones, and/or signaling cascades that occur in response to infection. By bioinformatic and systems biology approaches, we evaluated the impact of nuclear import antagonism on host expression networks by using human lung epithelial cells infected with either wild-type virus or a mutant that does not express ORF6 protein. Microarray analysis revealed significant changes in differential gene expression, with approximately twice as many upregulated genes in the mutant virus samples by 48 h postinfection, despite identical viral titers. Our data demonstrated that ORF6 protein expression attenuates the activity of numerous karyopherin-dependent host transcription factors (VDR, CREB1, SMAD4, p53, EpasI, and Oct3/4) that are critical for establishing antiviral responses and regulating key host responses during virus infection. Results were confirmed by proteomic and chromatin immunoprecipitation assay analyses and in parallel microarray studies using infected primary human airway epithelial cell cultures. The data strongly support the hypothesis that viral antagonists of nuclear import actively manipulate host responses in specific hierarchical patterns, contributing to the viral pathogenic potential in vivo. Importantly, these studies and modeling approaches not only provide templates for evaluating virus antagonism of nuclear import processes but also can reveal candidate cellular genes and pathways that may significantly influence disease outcomes following severe acute respiratory syndrome coronavirus infection in vivo.

Indexed as

Active Transport, Cell NucleusChromatin ImmunoprecipitationComputational BiologyDNA PrimersEpithelial CellsGene Regulatory NetworksHumansLungMicroarray AnalysisProteomicsReal-Time Polymerase Chain ReactionSevere acute respiratory syndrome-related coronavirusSignal TransductionSystems BiologyTranscription, GeneticViral Regulatory and Accessory ProteinsDNA PrimersViral Regulatory and Accessory Proteins

Identifiers

PMID23365422
PMCPMC3624188
OpenAlexW2051052628

What OpenQuestion holds

Textmetadata
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.