Evidence map›Paper›PMID 32190754›Full record

ArticleHeliyon2020

Epstein-Barr virus-derived vector suitable for long-term expression in neurons.

Kazuyuki Kiyosue, Yoshihiro Miwa

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

2 authors at 2 institutions in 1 country.

Kazuyuki KiyosueFunctional Biomolecule Research Group and DAILAB, Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Osaka 563-8577, Japan.
Yoshihiro MiwaFaculty of Medicine, University of Tsukuba, Tsukuba 305-8575, Japan.
National Institute of Advanced Industrial Science and Technology · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exogenous gene expression is a fundamental and indispensable technique for testing gene function in neurons. Several ways to express exogenous genes in neurons are available, but each method has pros and cons. The lentivirus vector is useful for high efficiency gene transfer to neurons and stabilizes gene expression via genome integration, but this integration may destroy the host genome. The Epstein-Barr virus (EBV)-derived vector (EB vector) is an accessible and useful vector in human cell lines because the vector is not integrated into the host genome but stays in the nucleus as an episome. However, there has been no report on this process in rodent neurons. We examined the usefulness of the EB vector for testing gene function in neurons. We found that EB vector-derived exogenous proteins such as green fluorescent protein (GFP) and GFP-tagged actin were easily detectable even after three weeks of transfection. Second, a tetracycline-induced gene expression system in the EB vector was active after three weeks of transfection, indicating that plasmids were retained in neurons for up to three weeks. Third, we determined that only Family of repeat element of the plasmid vector is essential for its long-term presence in neurons. These results show that the modified EB vector is a useful tool for examining gene function in neurons.

Indexed as

Cell biologyElectrophysiologyEpisomeEpstein-barr virus based vectorLong-term exogenous gene expressionNervous systemNeurologyNeuronal deathNeurosciencePlasmid vectorPostmitotic cell

Identifiers

PMID32190754
PMCPMC7068671
OpenAlexW3011573275

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.