| Title |
MiR-148a regulates MEG3 in gastric cancer by targeting DNA methyltransferase 1
|
|---|---|
| Published in |
Medical Oncology, February 2014
|
| DOI | 10.1007/s12032-014-0879-6 |
| Pubmed ID | |
| Authors |
Jiang Yan, Xiaoqiang Guo, Jiazeng Xia, Tin Shan, Chen Gu, Zheng Liang, Wei Zhao, Shimao Jin |
| Abstract |
The long non-coding RNA MEG3 has been reported to be a tumor suppressor in a number of malignant tumors including gastric cancer. Several studies have shown that the regulation of MEG3 may attribute to the promoter hypermethylation. However, the mechanism of MEG3 regulation in gastric cancer is still not well understood. MiR-148a can suppress gastric tumorigenesis through regulating the expression of target genes such as DNA methyltransferase 1(DNMT-1). We examined the expression of MEG3 in 52 gastric cancer samples using quantitative real-time PCR and found the down-regulation of MEG3 in both gastric cancer tissues and cell lines. The positive correlation of MEG3 and miR-148a was further confirmed in SGC-7901 and BGC-823 gastric cancer cell lines. Hypermethylation of MEG3 differentially methylated regions was identified by methylation-specific PCR, and MEG3 expression was increased with the inhibition of methylation with siRNA to DNMT-1 in gastric cancer cells. In addition, transfection of MEG3 siRNA into gastric cancer cells diminished the suppression of proliferation induced by overexpression of miR-148a. Our results suggest that the suppression of miR-148a may contribute to the down-regulation of MEG3 in gastric cancer by modulation of DNMT-1. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Researcher | 5 | 15% |
| Student > Postgraduate | 5 | 15% |
| Student > Master | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Other | 3 | 9% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 35% |
| Biochemistry, Genetics and Molecular Biology | 10 | 29% |
| Neuroscience | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Nursing and Health Professions | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 7 | 21% |
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 02 October 2014.
All research outputs
#20,238,443
of 22,765,347 outputs
Outputs from Medical Oncology
#955
of 1,286 outputs
Outputs of similar age
#270,739
of 313,107 outputs
Outputs of similar age from Medical Oncology
#20
of 30 outputs
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