| Title |
miR-146a and miR-150 promote the differentiation of CD133+ cells into T-lymphoid lineage
|
|---|---|
| Published in |
Molecular Biology Reports, May 2013
|
| DOI | 10.1007/s11033-013-2567-6 |
| Pubmed ID | |
| Authors |
Parviz Fallah, Ehsan Arefian, Mahmood Naderi, Seyed Hamid Aghaee-Bakhtiari, Amir Atashi, Katayoun Ahmadi, Abbas Shafiee, Masoud Soleimani |
| Abstract |
MicroRNAs control the genes involved in hematopoietic stem cell (HSCs) survival, proliferation and differentiation. The over-expression of miR-146 and miR-150 has been reported during differentiation of HSCs into T-lymphoid lineage. Therefore, in this study we evaluated the effect of their over-expression on CD133+ cells differentiation to T cells. miR-146a and miR-150 were separately and jointly transduced to human cord blood derived CD133+ cells (>97% purity). We used qRT-PCR to assess the expression of CD2, CD3ε, CD4, CD8, CD25, T cell receptor alpha (TCR-α) and Ikaros genes in differentiated cells 4 and 8 days after transduction of the miRNAs. Following the over-expression of miR-146a, significant up-regulation of CD2, CD4, CD25 and Ikaros genes were observed (P<0.01). On the other hand, over-expression of miR-150 caused an increase in the expression of Ikaros, CD4, CD25 and TCR-α. To evaluate the combinatorial effect of miR-146a and miR-150, transduction of both miRNAs was concurrently performed which led to increase in the expression of Ikaros, CD4 and CD3 genes. In conclusion, it seems that the effect of miR-150 and miR-146a on the promotion of T cell differentiation is time-dependant. Moreover, miRNAs could be used either as substitutes or complements of the conventional differentiation protocols for higher efficiency. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| Poland | 1 | 3% |
| Unknown | 29 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 19% |
| Student > Ph. D. Student | 5 | 16% |
| Other | 4 | 13% |
| Professor > Associate Professor | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Other | 7 | 23% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Medicine and Dentistry | 4 | 13% |
| Neuroscience | 2 | 6% |
| Computer Science | 2 | 6% |
| Other | 3 | 10% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 18 June 2013.
All research outputs
#13,889,994
of 22,710,079 outputs
Outputs from Molecular Biology Reports
#878
of 2,877 outputs
Outputs of similar age
#107,265
of 194,920 outputs
Outputs of similar age from Molecular Biology Reports
#11
of 20 outputs
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