Evidence map›Paper›PMID 25101815›Full record

ArticleACS synthetic biology2014

Bi-HAC vector system toward gene and cell therapy.

Yuichi Iida, Yasuhiro Kazuki, Masahiro Hayashi, Yasuji Ueda, Mamoru Hasegawa, Natalay Kouprina, Vladimir Larionov, Mitsuo Oshimura

Abstract read
In one paragraph

Article in ACS synthetic biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. A pathway from chromosome transfer to engineering resulting in human and mouse artificial chromosomes for a variety of applications to bio-medical challenges.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2015
    Review
  5. 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

8 authors.

Yuichi IidaDepartment of Biomedical Science, Institute of Regenerative Medicine and Biofunction, Graduate School of Medical Sciences, Tottori University , 86 Nishi-cho, Yonago, Tottori 683-8503, Japan.
Yasuhiro Kazuki
Masahiro Hayashi
Yasuji Ueda
Mamoru Hasegawa
Natalay Kouprina
Vladimir Larionov
Mitsuo Oshimura

Funding

Study of hereditary prostate cancer and human artificial chromosomesZIABC010413 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LARIONOV, VLADIMIR · 2009 to 2025
$31.5M
Intramural NIH HHS ZIA BC010413
6 · The paper itself

Abstract

Genetic manipulations with mammalian cells often require introduction of two or more genes that have to be in trans-configuration. However, conventional gene delivery vectors have several limitations, including a limited cloning capacity and a risk of insertional mutagenesis. In this paper, we describe a novel gene expression system that consists of two differently marked HAC vectors containing unique gene loading sites. One HAC, 21HAC, is stably propagated during cell divisions; therefore, it is suitable for complementation of a gene deficiency. The other HAC, tet-O HAC, can be eliminated, providing a unique opportunity for transient gene expression (e.g., for cell reprogramming). Efficiency and accuracy of a novel bi-HAC vector system have been evaluated after loading of two different transgenes into these HACs. Based on analysis of transgenes expression and HACs stability in the proof of principle experiments, the combination of two HAC vectors may provide a powerful tool toward gene and cell therapy.

Indexed as

Cell- and Tissue-Based TherapyGenetic TherapyAnimalsCell Line, TumorCellular ReprogrammingCHO CellsChromosomes, Artificial, HumanCricetinaeCricetulusGenetic VectorsHomologous RecombinationHumansNeoplasms

Identifiers

PMID25101815
PMCPMC4137782

What OpenQuestion holds

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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.