| Title |
Antiproliferative effect of upregulation of hsa-let-7c-5p in human acute erythroleukemia cells
|
|---|---|
| Published in |
Methods in Cell Science, August 2018
|
| DOI | 10.1007/s10616-018-0241-5 |
| Pubmed ID | |
| Authors |
Deniz Mortazavi, Mohammadreza Sharifi |
| Abstract |
New achievements in the field of cancer treatment are results of recent advances in molecular medicine and gene therapy. Usage of microRNAs (miRNAs) which are small noncoding RNAs is one of the molecular research lines for the diagnosis and treatment of cancers. miRNAs have an important role in post-transcriptional regulation of the gene expression and are involved in cellular activities such as growth, differentiation, cell death and cancer development. One of the miRNAs that showed downregulation in human acute erythroleukemia is hsa-let-7c-5p. Down-regulation of hsa-let-7c-5p has been reported in in vitro studies of different cancers. In the present study, upregulation of hsa-let-7c-5p is performed in human acute erythroleukemia cell line (KG-1) using miRNA mimic. qRT-PCR, MTT assay, Annexin-V, and propidium iodide staining at different time points after miRNA mimic transfection were accomplished to assess the expression level of hsa-let-7c-5p, cell viability, apoptosis and late apoptosis. In addition, the expression level of PBX2 oncogene, a validated target gene of hsa-let-7c-5p, is evaluated by RT-qPCR to show the effectivity of this approach on erythroleukemia cancer cells. Our results can be used in translational medicine for future investigation in acute erythroleukemia and to approach treatment based on miRNA mimic therapy. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Other | 1 | 14% |
| Researcher | 1 | 14% |
| Student > Master | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 43% |
| Computer Science | 1 | 14% |
| Unknown | 3 | 43% |
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 05 August 2018.
All research outputs
#20,663,600
of 25,385,509 outputs
Outputs from Methods in Cell Science
#857
of 1,026 outputs
Outputs of similar age
#265,481
of 341,958 outputs
Outputs of similar age from Methods in Cell Science
#9
of 16 outputs
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