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Paeoniflorin inhibits human glioma cells via STAT3 degradation by the ubiquitin–proteasome pathway

Overview of attention for article published in Drug Design, Development and Therapy, October 2015
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Title
Paeoniflorin inhibits human glioma cells via STAT3 degradation by the ubiquitin–proteasome pathway
Published in
Drug Design, Development and Therapy, October 2015
DOI 10.2147/dddt.s93912
Pubmed ID
Authors

Xiao-hu Nie, Jia Ou-yang, Ying Xing, Dan-yan Li, Xing-yu Dong, Ru-en Liu, Ru-xiang Xu

Abstract

We investigated the underlying mechanism for the potent proapoptotic effect of paeoniflorin (PF) on human glioma cells in vitro, focusing on signal transducer and activator of transcription 3 (STAT3) signaling. Significant time- and dose-dependent apoptosis and inhibition of proliferation were observed in PF-treated U87 and U251 glioma cells. Expression of STAT3, its active form phosphorylated STAT3 (p-STAT3), and several downstream molecules, including HIAP, Bcl-2, cyclin D1, and Survivin, were significantly downregulated upon PF treatment. Overexpression of STAT3 induced resistance to PF, suggesting that STAT3 was a critical target of PF. Interestingly, rapid downregulation of STAT3 was consistent with its accelerated degradation, but not with its dephosphorylation or transcriptional modulation. Using specific inhibitors, we demonstrated that the prodegradation effect of PF on STAT3 was mainly through the ubiquitin-proteasome pathway rather than via lysosomal degradation. These findings indicated that PF-induced growth suppression and apoptosis in human glioma cells through the proteasome-dependent degradation of STAT3.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Student > Bachelor 2 13%
Student > Master 2 13%
Researcher 2 13%
Professor 2 13%
Other 3 20%
Unknown 1 7%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Neuroscience 5 33%
Agricultural and Biological Sciences 2 13%
Biochemistry, Genetics and Molecular Biology 1 7%
Unknown 2 13%
Attention Score in Context

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 14 October 2015.
All research outputs
#22,760,732
of 25,374,917 outputs
Outputs from Drug Design, Development and Therapy
#1,754
of 2,268 outputs
Outputs of similar age
#245,758
of 286,877 outputs
Outputs of similar age from Drug Design, Development and Therapy
#86
of 110 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.