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Competing memories of mitogen and p53 signalling control cell-cycle entry

Overview of attention for article published in Nature, September 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Citations

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379 Mendeley
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1 CiteULike
Title
Competing memories of mitogen and p53 signalling control cell-cycle entry
Published in
Nature, September 2017
DOI 10.1038/nature23880
Pubmed ID
Authors

Hee Won Yang, Mingyu Chung, Takamasa Kudo, Tobias Meyer

Abstract

Regulation of cell proliferation is necessary for immune responses, tissue repair, and upkeep of organ function to maintain human health. When proliferating cells complete mitosis, a fraction of newly born daughter cells immediately enter the next cell cycle, while the remaining cells in the same population exit to a transient or persistent quiescent state. Whether this choice between two cell-cycle pathways is due to natural variability in mitogen signalling or other underlying causes is unknown. Here we show that human cells make this fundamental cell-cycle entry or exit decision based on competing memories of variable mitogen and stress signals. Rather than erasing their signalling history at cell-cycle checkpoints before mitosis, mother cells transmit DNA damage-induced p53 protein and mitogen-induced cyclin D1 (CCND1) mRNA to newly born daughter cells. After mitosis, the transferred CCND1 mRNA and p53 protein induce variable expression of cyclin D1 and the CDK inhibitor p21 that almost exclusively determines cell-cycle commitment in daughter cells. We find that stoichiometric inhibition of cyclin D1-CDK4 activity by p21 controls the retinoblastoma (Rb) and E2F transcription program in an ultrasensitive manner. Thus, daughter cells control the proliferation-quiescence decision by converting the memories of variable mitogen and stress signals into a competition between cyclin D1 and p21 expression. We propose a cell-cycle control principle based on natural variation, memory and competition that maximizes the health of growing cell populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 40 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 379 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 379 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 113 30%
Researcher 63 17%
Student > Master 38 10%
Student > Bachelor 36 9%
Student > Doctoral Student 16 4%
Other 52 14%
Unknown 61 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 146 39%
Agricultural and Biological Sciences 78 21%
Medicine and Dentistry 25 7%
Neuroscience 11 3%
Immunology and Microbiology 11 3%
Other 40 11%
Unknown 68 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 01 February 2022.
All research outputs
#1,077,867
of 25,200,621 outputs
Outputs from Nature
#32,886
of 96,957 outputs
Outputs of similar age
#21,718
of 321,305 outputs
Outputs of similar age from Nature
#579
of 869 outputs
Altmetric has tracked 25,200,621 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 96,957 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.4. This one has gotten more attention than average, scoring higher than 66% 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 321,305 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 93% of its contemporaries.
We're also able to compare this research output to 869 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.