| Title |
Inhibition of Stat3 signaling pathway decreases TNF-α-induced autophagy in cementoblasts
|
|---|---|
| Published in |
Cell and Tissue Research, August 2018
|
| DOI | 10.1007/s00441-018-2890-2 |
| Pubmed ID | |
| Authors |
Leilei Wang, Yunlong Wang, Mingyuan Du, Zhijian Liu, Zhengguo Cao, Yunru Hao, Hong He |
| Abstract |
Autophagy is a self-digestive process that eliminates impaired or aged proteins and potentially toxic intracellular components to maintain homeostasis. We previously demonstrated that TNF-α played a critical role in cementoblast differentiation, mineralization and apoptosis; however, the effect of TNF-α on cementoblast autophagy has remained unclear. In this study, an elevated immunofluorescence signal of LC3B and autophagic vacuoles, autophagosomes and autolysosomes were detected under TNF-α stimulation in OCCM-30 cells. Autophagy-related genes and proteins, Beclin-1, LC3A and Atg-5, were significantly upregulated by TNF-α in a time- and concentration-dependent manner. During this process, the activity of Stat3 was dramatically enhanced and when the activity of Stat3 was blocked by either a specific chemical inhibitor or siRNA transfection before TNF-α stimulation, the TNF-α-induced upregulation of autophagy-related genes and proteins was strongly inhibited. Our results suggest that TNF-α induced autophagy in cementoblasts was dependent, or partially dependent on the activity of Stat3 signaling pathway. |
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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 1 | 14% |
| Unknown | 6 | 86% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Unknown | 6 | 86% |
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 13 August 2018.
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
#291,049
of 332,632 outputs
Outputs of similar age from Cell and Tissue Research
#22
of 26 outputs
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