Evidence map›Paper›PMID 31888254›Full record

ArticleMicroorganisms2019

Epstein-Barr Virus BBRF2 Is Required for Maximum Infectivity.

H M Abdullah Al Masud, Yusuke Yanagi, Takahiro Watanabe, Yoshitaka Sato, Hiroshi Kimura, Takayuki Murata

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 18 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

H M Abdullah Al MasudDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.ORCID 0000-0002-0953-2471
Yusuke YanagiDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.
Takahiro WatanabeDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.ORCID 0000-0002-7249-8106
Yoshitaka SatoDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.ORCID 0000-0002-8541-6413
Hiroshi KimuraDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.
Takayuki MurataDepartment of Virology, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan.
Nagoya University · JPFujita Health University · JP

Funding

Hori Sciences and Arts Foundation naJapan Agency for Medical Research and Development JP17fm0208016, JP16ek0109098Ministry of Education, Culture, Sports, Science and Technology 19K07580, 17H04081Takeda Science Foundation na
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) is a member of the gammaherpesvirinae, which causes infectious mononucleosis and several types of cancer. BBRF2 is an uncharacterized gene of EBV and is expressed during the lytic phase. To evaluate its function, BBRF2-knockout EBV was prepared using bacterial artificial chromosome (BAC) technology and the CRISPR/Cas9 system. Although viral gene expression, DNA synthesis, and progeny secretion were not affected, the infectivity of progeny viruses was significantly reduced by the disruption of BBRF2. When expressed alone, BBRF2 protein localized to the nucleus and cytoplasm, while the coexpression of an interacting partner, BSRF1, resulted in its relocalization to the cytoplasm. Interestingly, the coexpression of BBRF2 protected BSRF1 from proteasome/ubiquitin-dependent degradation. Therefore, BBRF2, together with BSRF1, augments viral infectivity.

Indexed as

BACBBRF2CRISPR/Cas9EBVlytic cycle

Identifiers

PMID31888254
PMCPMC6955869
OpenAlexW2996204500

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.