Evidence map›Paper›PMID 28794023›Full record

ArticleJournal of virology2017

Tumor Suppressor p53 Stimulates the Expression of Epstein-Barr Virus Latent Membrane Protein 1.

Qianli Wang, Amy Lingel, Vicki Geiser, Zachary Kwapnoski, Luwen Zhang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Metabolic Control by DNA Tumor Virus-Encoded Proteins.Pathogens (Basel, Switzerland) · 2021
    Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Identification of key genes and signaling pathways during Sendai virus infection in vitro.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2019
    Article
  11. Article
  12. Review
  13. Review
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

5 authors at 2 institutions in 1 country.

Qianli WangSchool of Biological Sciences, University of Nebraska, Lincoln, Nebraska, USA.
Amy LingelSchool of Biological Sciences, University of Nebraska, Lincoln, Nebraska, USA.
Vicki GeiserNortheast Community College, Norfolk, Nebraska, USA.
Zachary KwapnoskiSchool of Biological Sciences, University of Nebraska, Lincoln, Nebraska, USA.
Luwen ZhangSchool of Biological Sciences, University of Nebraska, Lincoln, Nebraska, USA lzhang2@unl.edu.
University of Nebraska–Lincoln · USNortheast Community College · US

Funding

Nebraska Center for VirologyP30GM103509 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI WOOD, CHARLES · 2012 to 2014
$3.3M
Modulation of Apoptosis by IRF-4 in EBV transformationR01CA138213 · NCI · UNIVERSITY OF NEBRASKA LINCOLN · PI ZHANG, LUWEN · 2009 to 2010
$546k
NCI NIH HHS R01 CA138213NIGMS NIH HHS P30 GM103509
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is associated with multiple human malignancies. EBV latent membrane protein 1 (LMP1) is required for the efficient transformation of primary B lymphocytes

Indexed as

Gene Expression Regulation, ViralApoptosisCell Line, TumorCell Transformation, ViralDNA DamageHerpesvirus 4, HumanHumansInterferon Regulatory FactorsPromoter Regions, GeneticTumor Suppressor Protein p53Viral Matrix ProteinsVirus LatencyEBV-associated membrane antigen, Epstein-Barr virusInterferon Regulatory FactorsIRF5 protein, humanTP53 protein, humanTumor Suppressor Protein p53Viral Matrix ProteinsEBVEpstein-Barr virusIRF5latencyLMP1p53transformation

Identifiers

PMID28794023
PMCPMC5625482
OpenAlexW2743941107

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.