| Title |
Wnt/β-catenin signaling induces the aging of mesenchymal stem cells through promoting the ROS production
|
|---|---|
| Published in |
Molecular and Cellular Biochemistry, November 2012
|
| DOI | 10.1007/s11010-012-1498-1 |
| Pubmed ID | |
| Authors |
Da-yong Zhang, Yu Pan, Chong Zhang, Bing-xi Yan, Shan-shan Yu, Dong-ling Wu, Meng-meng Shi, Kai Shi, Xin-xiao Cai, Shuang-shuang Zhou, Jun-bo Wang, Jian-ping Pan, Li-huang Zhang |
| Abstract |
Recent studies have demonstrated that the Wnt/β-catenin signaling plays an important role in stem cell aging. However, the mechanisms of cell senescence induced by Wnt/β-catenin signaling are still poorly understood. Our preliminary study has indicated that activated Wnt/β-catenin signaling can induce MSC aging. In this study, we reported that the Wnt/β-catenin signaling was a potent activator of reactive oxygen species (ROS) generation in MSCs. After scavenging ROS with N-acetylcysteine, Wnt/β-catenin signaling-induced MSC aging was significantly attenuated and the DNA damage and the expression of p16(INK4A), p53, and p21 were reduced in MSCs. These results indicated that the Wnt/β-catenin signaling could induce MSC aging through promoting the intracellular production of ROS, and ROS may be the main mediators of MSC aging induced by excessive activation of Wnt/β-catenin signaling. |
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 States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 1% |
| Unknown | 68 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 17% |
| Student > Master | 10 | 14% |
| Researcher | 9 | 13% |
| Student > Postgraduate | 7 | 10% |
| Professor > Associate Professor | 6 | 9% |
| Other | 14 | 20% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 32% |
| Medicine and Dentistry | 13 | 19% |
| Biochemistry, Genetics and Molecular Biology | 10 | 14% |
| Neuroscience | 3 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 3 | 4% |
| Unknown | 16 | 23% |
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 07 November 2012.
All research outputs
#15,256,044
of 22,685,926 outputs
Outputs from Molecular and Cellular Biochemistry
#1,316
of 2,290 outputs
Outputs of similar age
#115,993
of 183,815 outputs
Outputs of similar age from Molecular and Cellular Biochemistry
#13
of 20 outputs
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So far Altmetric has tracked 2,290 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.