↓ Skip to main content

Cell Press

The SETD8/PR-Set7 Methyltransferase Functions as a Barrier to Prevent Senescence-Associated Metabolic Remodeling

Overview of attention for article published in Cell Reports, February 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
8 news outlets
twitter
15 X users
facebook
3 Facebook pages
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
91 Mendeley
Title
The SETD8/PR-Set7 Methyltransferase Functions as a Barrier to Prevent Senescence-Associated Metabolic Remodeling
Published in
Cell Reports, February 2017
DOI 10.1016/j.celrep.2017.02.021
Pubmed ID
Authors

Hiroshi Tanaka, Shin-ichiro Takebayashi, Akihisa Sakamoto, Tomoka Igata, Yuko Nakatsu, Noriko Saitoh, Shinjiro Hino, Mitsuyoshi Nakao

Abstract

Cellular senescence is an irreversible growth arrest that contributes to development, tumor suppression, and age-related conditions. Senescent cells show active metabolism compared with proliferating cells, but the underlying mechanisms remain unclear. Here we show that the SETD8/PR-Set7 methyltransferase, which catalyzes mono-methylation of histone H4 at lysine 20 (H4K20me1), suppresses nucleolar and mitochondrial activities to prevent cellular senescence. SETD8 protein was selectively downregulated in both oncogene-induced and replicative senescence. Inhibition of SETD8 alone was sufficient to trigger senescence. Under these states, the expression of genes encoding ribosomal proteins (RPs) and ribosomal RNAs as well as the cyclin-dependent kinase (CDK) inhibitor p16(INK4A) was increased, with a corresponding reduction of H4K20me1 at each locus. As a result, the loss of SETD8 concurrently stimulated nucleolar function and retinoblastoma protein-mediated mitochondrial metabolism. In conclusion, our data demonstrate that SETD8 acts as a barrier to prevent cellular senescence through chromatin-mediated regulation of senescence-associated metabolic remodeling.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 90 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 23%
Student > Ph. D. Student 17 19%
Student > Master 12 13%
Student > Bachelor 7 8%
Professor > Associate Professor 6 7%
Other 12 13%
Unknown 16 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 34%
Agricultural and Biological Sciences 21 23%
Medicine and Dentistry 8 9%
Neuroscience 2 2%
Psychology 2 2%
Other 8 9%
Unknown 19 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 11 August 2020.
All research outputs
#640,681
of 25,382,440 outputs
Outputs from Cell Reports
#1,403
of 12,965 outputs
Outputs of similar age
#13,986
of 424,972 outputs
Outputs of similar age from Cell Reports
#34
of 262 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done well, scoring higher than 89% 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 424,972 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 262 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.