Evidence map›Paper›PMID 28560170›Full record

ArticleGenomics data2017

RNA-seq detects pharmacological inhibition of Epstein-Barr virus late transcription during spontaneous reactivation.

An T Phan, Delsy M Martinez, Jj L Miranda

Abstract read
In one paragraph

Article in Genomics data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

An T PhanGladstone Institute of Virology and Immunology, San Francisco, CA 94158, USA.
Delsy M MartinezGladstone Institute of Virology and Immunology, San Francisco, CA 94158, USA.
Jj L MirandaGladstone Institute of Virology and Immunology, San Francisco, CA 94158, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stepwise and sequential expression of viral genes underlies progression of the infectious life cycle. The Epstein-Barr virus (EBV) is both a tractable model for elucidating principles of transcription as well as a global health threat. We describe an experimental protocol and bioinformatics pipeline for functional identification of EBV true late genes, the last step of transcription prior to virion packaging and egress. All data have been uploaded to the Gene Expression Omnibus under accession code GSE96689. The key improvement over previous approaches is leveraging the sensitivity of RNA-seq to detect gene expression changes during spontaneous reactivation.

Identifiers

PMID28560170
PMCPMC5443917

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.