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| Title |
Hypoxia-induced MTA1 promotes MC3T3 osteoblast growth but suppresses MC3T3 osteoblast differentiation
|
|---|---|
| Published in |
European Journal of Medical Research, February 2015
|
| DOI | 10.1186/s40001-015-0084-x |
| Pubmed ID | |
| Authors |
Tielong Liu, Weiwei Zou, Guodong Shi, Jian Xu, Fei Zhang, Jianru Xiao, Yan Wang |
| Abstract |
BackgroundBone fracture is one of the most common physical injuries in which gene expression and the microenvironment are reprogramed to facilitate the recovery process.MethodsBy specific siRNA transfection and MTT assay, we evaluated the effects of metastasis-associated gene 1 (MTA1) in osteoblast growth. To show the role of MTA1 in osteoblast under hypoxia conditions, by overexpressing and silencing MTA1 expression, we performed mineral deposition and alkaline phosphatase activity assay to observe the differentiation status of osteoblast cells. Real-time PCR and Western blot assays were adopted to detect the expression of certain target genes.ResultsHere, we reported that hypoxia-induced MTA1 expression through hypoxia-induced factor 1 alpha (HIF-1¿) and stimulated the growth of osteoblast MC3T3 cells. Silencing of MTA1 through specific siRNA suppressed MC3T3 cell growth and elicited cell differentiation and induced alkaline phosphatase activation and the upregulation of bone morphogenetic protein-2 and osteocalcin.ConclusionsWe found that MTA1 was regulated by HIF-1¿ in hypoxia circumstance to suppress osteoblast differentiation. These findings provide new insights for bone fracture healing and new strategies to develop potential targets to promote fracture healing. |
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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Master | 3 | 13% |
| Student > Bachelor | 3 | 13% |
| Student > Ph. D. Student | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 22% |
| Medicine and Dentistry | 5 | 22% |
| Agricultural and Biological Sciences | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 39% |
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 04 February 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from European Journal of Medical Research
#728
of 923 outputs
Outputs of similar age
#308,776
of 360,623 outputs
Outputs of similar age from European Journal of Medical Research
#9
of 11 outputs
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So far Altmetric has tracked 923 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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