| Title |
Characterization of human and mouse H19 regulatory sequences
|
|---|---|
| Published in |
Molecular Biology Reports, September 2000
|
| DOI | 10.1023/a:1007139713781 |
| Pubmed ID | |
| Authors |
Gabriel Banet, Osnat Bibi, Imad Matouk, Suhail Ayesh, Morris Laster, Katherine Molner Kimber, Mark Tykocinski, Nathan de Groot, Abraham Hochberg, Patricia Ohana |
| Abstract |
H19 is expressed in a large percentage of bladder tumors, but not expressed in healthy bladder tissue. The aim of this study is to define H19 optimal transcriptional regulatory sequences in tumor cells, which can potentially be used to control expression of a toxin gene in constructs to be used in bladder cancer gene therapy trials in mice and human. Transient expression assays revealed that elements responsible for promoter activity are contained within the 85 bp upstream region. The transcriptional activity of this region was strongly inhibited by the methylation of the Hpa II sites. A modest cell specificity is conferred by the upstream sequences. The human and murine promoter activities were significantly increased by the human H19 4.1 kb enhancer sequence. The 85 bp H19 upstream region contains all the elements to interact with the enhancer. We showed that the human H19 promoter is highly active in a murine bladder carcinoma cell line, justifying its use to drive the expression of a cytotoxin gene in gene therapy trials in mice. |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 7% |
| China | 1 | 4% |
| Unknown | 25 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 29% |
| Student > Master | 5 | 18% |
| Student > Bachelor | 4 | 14% |
| Researcher | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Other | 3 | 11% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 32% |
| Agricultural and Biological Sciences | 9 | 32% |
| Medicine and Dentistry | 3 | 11% |
| Immunology and Microbiology | 2 | 7% |
| Engineering | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 1 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 June 2021.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Molecular Biology Reports
#490
of 3,319 outputs
Outputs of similar age
#12,948
of 37,744 outputs
Outputs of similar age from Molecular Biology Reports
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,319 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 73% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 37,744 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them