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Transcript and protein expression decoupling reveals RNA binding proteins and miRNAs as potential modulators of human aging

Overview of attention for article published in Genome Biology, February 2015
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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14 X users
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2 Facebook pages

Citations

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73 Dimensions

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121 Mendeley
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Title
Transcript and protein expression decoupling reveals RNA binding proteins and miRNAs as potential modulators of human aging
Published in
Genome Biology, February 2015
DOI 10.1186/s13059-015-0608-2
Pubmed ID
Authors

Yu-Ning Wei, Hai-Yang Hu, Gang-Cai Xie, Ning Fu, Zhi-Bin Ning, Rong Zeng, Philipp Khaitovich

Abstract

In studies of development and aging, the expression of many genes has been shown to undergo drastic changes at mRNA and protein levels. The connection between mRNA and protein expression level changes, as well as the role of posttranscriptional regulation in controlling expression level changes in postnatal development and aging, remains largely unexplored. Here, we survey mRNA and protein expression changes in the prefrontal cortex of humans and rhesus macaques over developmental and aging intervals of both species' lifespans. We find substantial decoupling of mRNA and protein expression levels in aging, but not in development. Genes showing increased mRNA/protein disparity in primate brain aging form expression patterns conserved between humans and macaques and are enriched in specific functions involving mammalian target of rapamycin (mTOR) signaling, mitochondrial function and neurodegeneration. Mechanistically, aging-dependent mRNA/protein expression decoupling could be linked to a specific set of RNA binding proteins and, to a lesser extent, to specific microRNAs. Increased decoupling of mRNA and protein expression profiles observed in human and macaque brain aging results in specific co-expression profiles composed of genes with shared functions and shared regulatory signals linked to specific posttranscriptional regulators. Genes targeted and predicted to be targeted by the aging-dependent posttranscriptional regulation are associated with biological processes known to play important roles in aging and lifespan extension. These results indicate the potential importance of posttranscriptional regulation in modulating aging-dependent changes in humans and other species.

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X Demographics

The data shown below were collected from the profiles of 14 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
China 1 <1%
Germany 1 <1%
Unknown 116 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 31%
Researcher 21 17%
Student > Bachelor 12 10%
Student > Doctoral Student 9 7%
Student > Master 8 7%
Other 24 20%
Unknown 10 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 33%
Biochemistry, Genetics and Molecular Biology 33 27%
Neuroscience 13 11%
Medicine and Dentistry 8 7%
Chemistry 2 2%
Other 8 7%
Unknown 17 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 29 August 2015.
All research outputs
#2,231,467
of 25,373,627 outputs
Outputs from Genome Biology
#1,847
of 4,467 outputs
Outputs of similar age
#27,295
of 269,629 outputs
Outputs of similar age from Genome Biology
#37
of 71 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 58% 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 269,629 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 89% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.