Evidence map›Paper›PMID 24031125›Full record

ArticleYonago acta medica2011

Application of a bacterial artificial chromosome modification system for a human artificial chromosome vector.

Shigeyuki Yamaguchi, Ryosuke Niwa, Yasuhiro Kazuki, Tetsuya Ohbayashi

Open access · greenAbstract read
In one paragraph

Article in Yonago acta medica, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 86% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Shigeyuki YamaguchiDepartment of Biomedical Science, Institute of Regenerative Medicine and Biofunction, Graduate School of Medical Sciences, Tottori University, Yonago 683-8503, Japan ; †Division of Laboratory Animal Science, Research Center for Bioscience and Technology, Tottori University, Yonago 683-8503, Japan.
Ryosuke Niwa
Yasuhiro Kazuki
Tetsuya Ohbayashi
Tottori University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exactly controlled conditional gene expressing systems are crucial for genomic functional research, animal transgenesis and gene therapy. Bacterial artificial chromosomes (BACs) are optimal for harboring long fragments of genomic DNA or large cDNA up to 300 kb in size. Therefore, BACs are available to produce transgenic cells and animals for the functional studies of genes. However, BAC can insert DNA randomly into the host genome, possibly causing unpredicted expression. We previously developed a human artificial chromosome (HAC) vector from human chromosome 21 using chromosome engineering. The HAC vector has several important characteristics desired for an ideal gene delivery vector, including stable episomal maintenance, and the ability to carry large genomic DNA containing its own regulatory element, thus allowing physiological regulation of the transgene in a manner similar to that of the native chromosome. In this study, we develop a system fusing BAC library and HAC technology together to allow tight control of gene expression. This system enables BAC to be cloned into the defined locus on the HAC vector by the Cre/loxP system. In addition, the genome in the BAC is possible to be engineered freely by the BAC recombineering technology. This system is a highly efficient tool for the rapid generation of stringently controlled gene expression system on the HAC vector.

Indexed as

bacterial artificial chromosomebacterial artificial chromosome recombineeringhuman artificial chromosome

Identifiers

PMID24031125
PMCPMC3763799
OpenAlexW2122083024

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.