| Title |
Expressions of miR-181a and miR-20a in RPMI8226 cell line and their potential as biomarkers for multiple myeloma
|
|---|---|
| Published in |
Tumor Biology, June 2015
|
| DOI | 10.1007/s13277-015-3600-2 |
| Pubmed ID | |
| Authors |
Jing Peng, Asmitananda Thakur, Shuo Zhang, Yuanfeng Dong, Xiaoqin Wang, Ruili Yuan, Kaige Zhang, Xuan Guo |
| Abstract |
Multiple myeloma (MM) is characterized by clonal proliferation of malignant plasma cells in the bone marrow. The anti-tumor activity of bortezomib (a proteosome inhibitor) in MM is challenged by emergence of drug resistance. MicroRNAs (miR) regulate and orchestrate multiple cellular pathways. We investigate the contribution miR-181a and miR-20a expressions' on cell proliferation and apoptosis in RPMI8226 cell line and their influence on bortezomib treatment. RNA isolation, quantitative real-time PCR (qRT-PCR), cell proliferation assay, cell cycle analysis, and cell apoptosis assay were done. Statistical analysis was performed using SPSS 17.0 software (SPSS, Chicago, IL, USA). P values of less than 0.05 were considered statistically significant. RPMI8226 cells seeded in 96-well plates and treated for 24 h with different concentrations of bortezomib showed dose-dependent growth inhibition; expression of both miR-181a and miR-20a were inhibited by bortezomib. We found decrease of miR-181a (60 %) and miR-20a (30 %) in cells transfected with 20-nM inhibitor. A relative increase of 14-fold in miR-181a and 11-fold in miR-20a was observed in cells transfected with mimics of the same concentration. Transient low expression of miR-181a/20a inhibited proliferation at day 4, and overexpression of miR-181a promoted proliferation. Cells transfected with miR-181a/20a inhibitor within day 4 showed lower survival rate, and low expression of miR-181a on the fourth day after transfection promoted apoptosis. Our findings suggest that miR-181a/20a has a higher expression in MM. miR-181-a expression is proportional to MM tumor burden and could be a biomaker for monitoring treatment. miR-20a shows the potential of a diagnostic biomarker. |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Unknown | 20 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 33% |
| Other | 4 | 19% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Student > Master | 2 | 10% |
| Other | 2 | 10% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 29% |
| Biochemistry, Genetics and Molecular Biology | 5 | 24% |
| Agricultural and Biological Sciences | 3 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 1 | 5% |
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 03 June 2015.
All research outputs
#17,760,015
of 22,808,725 outputs
Outputs from Tumor Biology
#1,219
of 2,622 outputs
Outputs of similar age
#180,586
of 267,796 outputs
Outputs of similar age from Tumor Biology
#51
of 156 outputs
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