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Age- and Tissue-Specific Expression of Senescence Biomarkers in Mice

Overview of attention for article published in Frontiers in Genetics, February 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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1 news outlet
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3 blogs
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2 X users

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207 Mendeley
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Title
Age- and Tissue-Specific Expression of Senescence Biomarkers in Mice
Published in
Frontiers in Genetics, February 2018
DOI 10.3389/fgene.2018.00059
Pubmed ID
Authors

Adam D. Hudgins, Cagdas Tazearslan, Archana Tare, Yizhou Zhu, Derek Huffman, Yousin Suh

Abstract

Cellular senescence is a state of irreversible cellular growth arrest accompanied by distinct changes in gene expression and the acquisition of a complex proinflammatory secretory profile termed the senescence-associated secretory phenotype (SASP). Senescent cells accumulate in aged tissues and contribute to age-related disease in mice. Increasing evidence that selective removal of senescent cells can ameliorate diseases of late life and extend lifespan in mice has given rise to the development of senolytics that target senescent cells as anti-aging therapeutics. To realize the full potential of senolytic medicine, robust biomarkers of senescence must be in place to monitor the in vivo appearance of senescent cells with age, as well as their removal by senolytic treatments. Here we investigate the dynamic changes in expression of the molecular hallmarks of senescence, including p16Ink4a , p21Cip1 , and SASP factors in multiple tissues in mice during aging. We show that expression of these markers is highly variable in age- and tissue-specific manners. Nevertheless, Mmp12 represents a robust SASP factor that shows consistent age-dependent increases in expression across all tissues analyzed in this study and p16Ink4a expression is consistently increased with age in most tissues. Likewise, in humans CDKN2A (p16Ink4a ) is one of the top genes exhibiting elevated expression in multiple tissues with age as revealed by data analysis of the Genotype-Tissue Expression (GTEx) project. These results support the targeting of p16Ink4a expressing-cells in senolytic treatments, while emphasizing the need to establish a panel of robust biomarkers of senescence in vivo in both mice and humans.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 207 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 207 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 17%
Student > Master 30 14%
Researcher 24 12%
Student > Bachelor 22 11%
Student > Doctoral Student 12 6%
Other 28 14%
Unknown 55 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 78 38%
Agricultural and Biological Sciences 24 12%
Medicine and Dentistry 11 5%
Neuroscience 7 3%
Immunology and Microbiology 4 2%
Other 20 10%
Unknown 63 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 15 December 2022.
All research outputs
#1,310,303
of 23,342,092 outputs
Outputs from Frontiers in Genetics
#254
of 12,364 outputs
Outputs of similar age
#31,080
of 331,179 outputs
Outputs of similar age from Frontiers in Genetics
#4
of 123 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,364 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 331,179 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 90% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.