Evidence map›Paper›PMID 20542255›Full record

ArticleCell host & microbe2010

Redefining the genetics of murine gammaherpesvirus 68 via transcriptome-based annotation.

L Steven Johnson, Erin K Willert, Herbert W Virgin

Abstract read
In one paragraph

Article in Cell host & microbe, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Review
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  17. Review
  18. An essential role for γ-herpesvirus latency-associated nuclear antigen homolog in an acute lymphoproliferative disease of cattle.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  19. 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

3 authors.

L Steven JohnsonDepartment of Pathology and Immunology, Midwest Regional Center of Excellence for Biodefense and Emerging Infectious Diseases Research, Washington University School of Medicine, St Louis, MO 63110, USA.
Erin K Willert
Herbert W Virgin

Funding

Virology and Smallpox VaccinationsU54AI057160 · NIAID · WASHINGTON UNIVERSITY · PI RAY, RANJIT · 2003 to 2013
$80.9M
TRAINING PROGRAM IN IMMUNOLOGY AND IMMUNOGENETICST32AI007163 · NIAID · WASHINGTON UNIVERSITY · PI Kenneth M Murphy, Kodi S Ravichandran · 1985 to 2026
$14.8M
NIAID NIH HHS T32 AI007163NIAID NIH HHS TP32AI007163NIAID NIH HHS U54 AI057160NIAID NIH HHS U54AI057160
6 · The paper itself

Abstract

Viral genetic studies typically focus on large open reading frames (ORFs) identified during genome annotation (ORF-based annotation). Here we describe tools for examining viral gene expression nucleotide by nucleotide across the genome. Using these tools on the 119,450 base pair (bp) genome of murine gammaherpesvirus 68 (gammaHV68) allowed us to establish that gammaHV68 RNA expression was significantly more complex than predicted from ORF-based annotation, including over 73,000 nucleotides of unexpected transcription within 30 expressed genomic regions (EGRs). Approximately 90% of this RNA expression was antisense to genomic regions containing known large ORFs. We verified the existence of previously undefined transcripts in three EGRs and determined which parts of the transcriptome depend on protein or viral DNA synthesis. This study redefines the genetic map of gammaHV68, indicating that herpesviruses contain significantly more genetic complexity than predicted from ORF-based genome annotations, and provides alternative tools and approaches for viral genetic studies.

Indexed as

Computational BiologyGene Expression ProfilingAnimalsCell LineGenome, ViralMiceRhadinovirusRNA, AntisenseRNA, ViralRNA, AntisenseRNA, Viral

Identifiers

PMID20542255
PMCPMC2900189

What OpenQuestion holds

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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.