| Title |
Small nuclear ribonucleoprotein polypeptide N (Sm51) promotes osteogenic differentiation of bone marrow mesenchymal stem cells by regulating Runx2
|
|---|---|
| Published in |
Cell and Tissue Research, May 2016
|
| DOI | 10.1007/s00441-016-2411-0 |
| Pubmed ID | |
| Authors |
Fanbiao Meng, Liangliang Xu, Shuo Huang, Yang Liu, Yonghui Hou, Kuixing Wang, Xiaohua Jiang, Gang Li |
| Abstract |
Small nuclear ribonucleoprotein-associated polypeptide N mutation in mice is associated with short limbs and lower bone mineral density, yet the role of Sm51 in MSC differentiation to osteoblasts is not known. In the present study, we investigate the role of Sm51 in regulating osteoblastic differentiation of bone marrow-derived mesenchymal stem cells (BM-MSCs). Stable overexpression of Sm51 in rat and human BM-MSCs (Sm51-MSCs) significantly enhanced their osteogenic differentiation potential compared to untransfected cells. Under osteogenic induction, Sm51-MSCs had higher alkaline phosphatase (ALP) activity and mineralization ability; the expression of osteogenic genes such as runt-related transcription factor 2 (Runx2), osteocalcin, osteopontin, ALP and type I collagen was significantly upregulated compared to the control BM-MSCs. Furthermore, we show that Sm51 overexpression upregulated Runx2 expression at both the RNA and protein level; Sm51 could bind to Runx2 RNA and regulate its expression. Finally, knocking down Runx2 abolished the promoting effects of Sm51 on osteogenesis in BM-MSCs. These results demonstrate that Sm51 plays an important role in regulating osteogenic differentiation of MSCs through increasing Runx2 expression and that Sm51 may be a potential new therapeutic target for promoting bone formation. |
X Demographics
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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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Librarian | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Professor | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Professor > Associate Professor | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 29% |
| Agricultural and Biological Sciences | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 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 17 May 2017.
All research outputs
#21,180,380
of 23,839,820 outputs
Outputs from Cell and Tissue Research
#2,002
of 2,279 outputs
Outputs of similar age
#283,316
of 329,771 outputs
Outputs of similar age from Cell and Tissue Research
#25
of 40 outputs
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