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Regulation of circadian behaviour and metabolism by REV-ERB-α and REV-ERB-β

Overview of attention for article published in Nature, March 2012
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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 (95th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

blogs
2 blogs
twitter
8 X users
patent
3 patents
facebook
1 Facebook page
googleplus
1 Google+ user
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1 research highlight platform

Citations

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867 Dimensions

Readers on

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697 Mendeley
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Title
Regulation of circadian behaviour and metabolism by REV-ERB-α and REV-ERB-β
Published in
Nature, March 2012
DOI 10.1038/nature11048
Pubmed ID
Authors

Han Cho, Xuan Zhao, Megumi Hatori, Ruth T. Yu, Grant D. Barish, Michael T. Lam, Ling-Wa Chong, Luciano DiTacchio, Annette R. Atkins, Christopher K. Glass, Christopher Liddle, Johan Auwerx, Michael Downes, Satchidananda Panda, Ronald M. Evans

Abstract

The circadian clock acts at the genomic level to coordinate internal behavioural and physiological rhythms via the CLOCK-BMAL1 transcriptional heterodimer. Although the nuclear receptors REV-ERB-α and REV-ERB-β have been proposed to form an accessory feedback loop that contributes to clock function, their precise roles and importance remain unresolved. To establish their regulatory potential, we determined the genome-wide cis-acting targets (cistromes) of both REV-ERB isoforms in murine liver, which revealed shared recognition at over 50% of their total DNA binding sites and extensive overlap with the master circadian regulator BMAL1. Although REV-ERB-α has been shown to regulate Bmal1 expression directly, our cistromic analysis reveals a more profound connection between BMAL1 and the REV-ERB-α and REV-ERB-β genomic regulatory circuits than was previously suspected. Genes within the intersection of the BMAL1, REV-ERB-α and REV-ERB-β cistromes are highly enriched for both clock and metabolic functions. As predicted by the cistromic analysis, dual depletion of Rev-erb-α and Rev-erb-β function by creating double-knockout mice profoundly disrupted circadian expression of core circadian clock and lipid homeostatic gene networks. As a result, double-knockout mice show markedly altered circadian wheel-running behaviour and deregulated lipid metabolism. These data now unite REV-ERB-α and REV-ERB-β with PER, CRY and other components of the principal feedback loop that drives circadian expression and indicate a more integral mechanism for the coordination of circadian rhythm and metabolism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 697 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
Japan 3 <1%
Portugal 2 <1%
Brazil 2 <1%
France 2 <1%
Sweden 2 <1%
Germany 2 <1%
Netherlands 2 <1%
Spain 2 <1%
Other 9 1%
Unknown 663 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 169 24%
Researcher 139 20%
Student > Master 88 13%
Student > Bachelor 61 9%
Student > Doctoral Student 30 4%
Other 117 17%
Unknown 93 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 265 38%
Biochemistry, Genetics and Molecular Biology 129 19%
Medicine and Dentistry 74 11%
Neuroscience 42 6%
Chemistry 16 2%
Other 62 9%
Unknown 109 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 13 September 2018.
All research outputs
#1,289,662
of 23,891,012 outputs
Outputs from Nature
#34,946
of 93,162 outputs
Outputs of similar age
#6,971
of 162,809 outputs
Outputs of similar age from Nature
#497
of 1,045 outputs
Altmetric has tracked 23,891,012 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 93,162 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 101.1. This one has gotten more attention than average, scoring higher than 62% 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 162,809 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 95% of its contemporaries.
We're also able to compare this research output to 1,045 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.