Evidence map›Paper›PMID 24902603›Full record

ArticleG3 (Bethesda, Md.)2014

Genomic profiling of collaborative cross founder mice infected with respiratory viruses reveals novel transcripts and infection-related strain-specific gene and isoform expression.

Hao Xiong, Juliet Morrison, Martin T Ferris, Lisa E Gralinski, Alan C Whitmore, Richard Green, Matthew J Thomas, Jennifer Tisoncik-Go, Gary P Schroth, Fernando Pardo-Manuel de Villena and 4 more

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

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  12. The Collaborative Cross mouse model for dissecting genetic susceptibility to infectious diseases.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
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  14. Bayesian Diallel Analysis RevealsG3 (Bethesda, Md.) · 2018
    Article
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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

14 authors at 3 institutions in 1 country.

Hao XiongDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon.
Juliet MorrisonDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon.
Martin T FerrisPacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Lisa E GralinskiPacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Alan C WhitmorePacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Richard GreenDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon.
Matthew J ThomasDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon.
Jennifer Tisoncik-GoDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon.
Gary P SchrothIllumina, Inc., San Diego, California.
Fernando Pardo-Manuel de VillenaDepartment of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Ralph S BaricPacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Mark T HeisePacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon Department of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina.
Xinxia PengDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon.
Michael G KatzeDepartment of Microbiology, School of Medicine, University of Washington, Seattle, Washington Pacific Northwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Portland, Oregon honey@uw.edu.
University of Washington · USUniversity of North Carolina at Chapel Hill · USIllumina (United States) · US

Funding

Unlocking Zika Virus Immune Control and Pathogenesis with the Collaborative CrossU19AI100625 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HEISE, MARK T · 2012 to 2021
$36.6M
NIAID NIH HHS U19 AI00625NIAID NIH HHS U19 AI100625
6 · The paper itself

Abstract

Genetic variation between diverse mouse species is well-characterized, yet existing knowledge of the mouse transcriptome comes largely from one mouse strain (C57BL/6J). As such, it is unlikely to reflect the transcriptional complexity of the mouse species. Gene transcription is dynamic and condition-specific; therefore, to better understand the mouse transcriptional response to respiratory virus infection, we infected the eight founder strains of the Collaborative Cross with either influenza A virus or severe acute respiratory syndrome coronavirus and sequenced lung RNA samples at 2 and 4 days after infection. We found numerous instances of transcripts that were not present in the C57BL/6J reference annotation, indicating that a nontrivial proportion of the mouse genome is transcribed but poorly annotated. Of these novel transcripts, 2150 could be aligned to human or rat genomes, but not to existing mouse genomes, suggesting functionally conserved sequences not yet recorded in mouse genomes. We also found that respiratory virus infection induced differential expression of 4287 splicing junctions, resulting in strain-specific isoform expression. Of these, 59 were influenced by strain-specific mutations within 2 base pairs of key intron-exon boundaries, suggesting cis-regulated expression. Our results reveal the complexity of the transcriptional response to viral infection, previously undocumented genomic elements, and extensive diversity in the response across mouse strains. These findings identify hitherto unexplored transcriptional patterns and undocumented transcripts in genetically diverse mice. Host genetic variation drives the complexity and diversity of the host response by eliciting starkly different transcriptional profiles in response to a viral infection.

Indexed as

AnimalsFemaleGene Expression ProfilingGene Expression RegulationGenomeInfluenza A virusLungMiceOrthomyxoviridae InfectionsPhenotypeRNASequence Analysis, RNASevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusSpecies SpecificityViral LoadRNAcollaborative crossisoform differential expressionmouse transcriptome annotationRNA-seqviral infection

Identifiers

PMID24902603
PMCPMC4132174
OpenAlexW2153732511

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.