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The glycosyltransferase GnT-III activates Notch signaling and drives stem cell expansion to promote the growth and invasion of ovarian cancer

Overview of attention for article published in Journal of Biological Chemistry, August 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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19 X users

Citations

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37 Dimensions

Readers on

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36 Mendeley
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Title
The glycosyltransferase GnT-III activates Notch signaling and drives stem cell expansion to promote the growth and invasion of ovarian cancer
Published in
Journal of Biological Chemistry, August 2017
DOI 10.1074/jbc.m117.783936
Pubmed ID
Authors

Heba Allam, Blake P Johnson, Mao Zhang, Zhongpeng Lu, Martin J Cannon, Karen L Abbott

Abstract

Glycosylation changes associated with cellular transformation can facilitate the growth and progression of tumors. Previously we discovered that the gene Mgat3 encoding the glycosyltransferase GnT-III is elevated in epithelial ovarian carcinomas (EOC) and leads to the production of abnormal truncated N-linked glycan structures. In this study we are interested in discovering how these abnormal glycans impact the growth and progression of ovarian cancer. We have discovered using stable shRNA gene suppression that GnT-III expression controls the expansion of side-population cells or cancer stem cells. We found that GnT-III expression regulates the levels and activation of Notch in vitro and in vivo. Suppression of GnT-III in EOC cell lines and primary tumor-derived cells resulted in an inhibition of Notch signaling that was more potent than pharmacologic blockage of Notch activation via gamma secretase inhibition. The mechanism of this inhibition was novel resulting from the redirection of the Notch receptor to the lysosome. These findings demonstrate a new role for bisecting glycosylation in the control of Notch transport and demonstrate the therapeutic potential of inhibiting GnT-III as a treatment for controlling EOC growth and recurrence.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 4 11%
Student > Master 4 11%
Professor > Associate Professor 3 8%
Student > Bachelor 3 8%
Other 9 25%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 28%
Medicine and Dentistry 9 25%
Chemistry 2 6%
Agricultural and Biological Sciences 2 6%
Business, Management and Accounting 1 3%
Other 2 6%
Unknown 10 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 October 2017.
All research outputs
#3,436,755
of 25,528,120 outputs
Outputs from Journal of Biological Chemistry
#5,244
of 85,394 outputs
Outputs of similar age
#59,629
of 325,473 outputs
Outputs of similar age from Journal of Biological Chemistry
#53
of 411 outputs
Altmetric has tracked 25,528,120 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85,394 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 93% of its peers.
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 325,473 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 411 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.