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Selective expression of transgene using hypoxia-inducible trans-splicing group I intron ribozyme

Overview of attention for article published in Journal of Biotechnology, October 2014
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Article details
Title
Selective expression of transgene using hypoxia-inducible trans-splicing group I intron ribozyme
Published in
Journal of Biotechnology, October 2014
DOI 10.1016/j.jbiotec.2014.10.001
Pubmed ID
Authors
Abstract

Low oxygen conditions, termed hypoxia, can affect cell survivals. Cells may adapt to hypoxic conditions through hypoxia response elements (HRE) such as erythropoietin enhancer or phosphoglycerate kinase element. Hypoxic conditions usually appear in solid tumors, and can cause resistance to radiotherapy or chemotherapy. In this study, a genetic approach based upon Tetrahymena group I ribozyme was developed, which can address the challenges induced by a hypoxic microenvironment. To this end, human telomerase reverse transcriptase (hTERT) targeting trans-splicing ribozymes whose expression and activity were induced by HRE under hypoxia were constructed. Luciferase reporter assay showed induction of the transgene to increase due to the hypoxia-inducible ribozymes through a specific trans-splicing reaction in hTERT-expressing cells under hypoxic conditions. Increase in the transgene expression was mainly due to the increased trans-splicing reaction through a concurrent increase of the ribozyme expression level. Moreover, hypoxia-inducible ribozyme with herpes simplex virus thymidine kinase as the 3'exon effectively induced cell death when treated with ganciclovir under both hypoxic and normoxic conditions. These results indicated that the trans-splicing ribozyme could be a target-specific and efficacious anti-cancer tool to overcome resistance to radio- and chemotherapy under hypoxic conditions.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
India 2 10%
Unknown 19 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Professor 3 14%
Student > Master 3 14%
Student > Bachelor 2 10%
Researcher 2 10%
Other 4 19%
Unknown 2 10%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 8 38%
Biochemistry, Genetics and Molecular Biology 6 29%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Physics and Astronomy 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 4 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 October 2014.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of Biotechnology
#3,560
of 3,870 outputs
Outputs of similar age
#228,943
of 268,055 outputs
Outputs of similar age from Journal of Biotechnology
#36
of 47 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,870 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.