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Copper regulates cyclic-AMP-dependent lipolysis

Overview of attention for article published in Nature Chemical Biology, June 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 3,318)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
32 news outlets
blogs
5 blogs
twitter
20 X users
facebook
8 Facebook pages
googleplus
1 Google+ user
video
1 YouTube creator

Citations

dimensions_citation
152 Dimensions

Readers on

mendeley
159 Mendeley
Title
Copper regulates cyclic-AMP-dependent lipolysis
Published in
Nature Chemical Biology, June 2016
DOI 10.1038/nchembio.2098
Pubmed ID
Authors

Lakshmi Krishnamoorthy, Joseph A Cotruvo, Jefferson Chan, Harini Kaluarachchi, Abigael Muchenditsi, Venkata S Pendyala, Shang Jia, Allegra T Aron, Cheri M Ackerman, Mark N Vander Wal, Timothy Guan, Lukas P Smaga, Samouil L Farhi, Elizabeth J New, Svetlana Lutsenko, Christopher J Chang

Abstract

Cell signaling relies extensively on dynamic pools of redox-inactive metal ions such as sodium, potassium, calcium and zinc, but their redox-active transition metal counterparts such as copper and iron have been studied primarily as static enzyme cofactors. Here we report that copper is an endogenous regulator of lipolysis, the breakdown of fat, which is an essential process in maintaining body weight and energy stores. Using a mouse model of genetic copper misregulation, in combination with pharmacological alterations in copper status and imaging studies in a 3T3-L1 white adipocyte model, we found that copper regulates lipolysis at the level of the second messenger, cyclic AMP (cAMP), by altering the activity of the cAMP-degrading phosphodiesterase PDE3B. Biochemical studies of the copper-PDE3B interaction establish copper-dependent inhibition of enzyme activity and identify a key conserved cysteine residue in a PDE3-specific loop that is essential for the observed copper-dependent lipolytic phenotype.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 159 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 28%
Researcher 29 18%
Student > Master 14 9%
Student > Bachelor 12 8%
Student > Doctoral Student 10 6%
Other 22 14%
Unknown 27 17%
Readers by discipline Count As %
Chemistry 43 27%
Biochemistry, Genetics and Molecular Biology 40 25%
Agricultural and Biological Sciences 16 10%
Medicine and Dentistry 9 6%
Immunology and Microbiology 4 3%
Other 12 8%
Unknown 35 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 274. 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 10 April 2019.
All research outputs
#126,776
of 24,903,209 outputs
Outputs from Nature Chemical Biology
#31
of 3,318 outputs
Outputs of similar age
#2,583
of 347,806 outputs
Outputs of similar age from Nature Chemical Biology
#2
of 54 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,318 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done particularly well, scoring higher than 99% 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 347,806 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 99% of its contemporaries.
We're also able to compare this research output to 54 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 98% of its contemporaries.