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Mitotic Wnt Signaling Promotes Protein Stabilization and Regulates Cell Size

Overview of attention for article published in Molecular Cell, May 2014
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Citations

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Title
Mitotic Wnt Signaling Promotes Protein Stabilization and Regulates Cell Size
Published in
Molecular Cell, May 2014
DOI 10.1016/j.molcel.2014.04.014
Pubmed ID
Authors

Sergio P. Acebron, Emil Karaulanov, Birgit S. Berger, Ya-Lin Huang, Christof Niehrs

Abstract

Canonical Wnt signaling is thought to regulate cell behavior mainly by inducing β-catenin-dependent transcription of target genes. In proliferating cells Wnt signaling peaks in the G2/M phase of the cell cycle, but the significance of this "mitotic Wnt signaling" is unclear. Here we introduce Wnt-dependent stabilization of proteins (Wnt/STOP), which is independent of β-catenin and peaks during mitosis. We show that Wnt/STOP plays a critical role in protecting proteins, including c-MYC, from GSK3-dependent polyubiquitination and degradation. Wnt/STOP signaling increases cellular protein levels and cell size. Wnt/STOP, rather than β-catenin signaling, is the dominant mode of Wnt signaling in several cancer cell lines, where it is required for cell growth. We propose that Wnt/STOP signaling slows down protein degradation as cells prepare to divide.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Chile 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 267 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 78 29%
Researcher 44 16%
Student > Master 35 13%
Student > Bachelor 26 10%
Professor > Associate Professor 10 4%
Other 34 12%
Unknown 46 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 94 34%
Biochemistry, Genetics and Molecular Biology 84 31%
Medicine and Dentistry 14 5%
Chemistry 6 2%
Neuroscience 5 2%
Other 21 8%
Unknown 49 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 February 2017.
All research outputs
#15,528,733
of 26,017,215 outputs
Outputs from Molecular Cell
#6,401
of 7,722 outputs
Outputs of similar age
#126,393
of 245,590 outputs
Outputs of similar age from Molecular Cell
#78
of 102 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,722 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one is in the 16th percentile – i.e., 16% 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 245,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.