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Jak-TGFβ cross-talk links transient adipose tissue inflammation to beige adipogenesis

Overview of attention for article published in Science Signaling, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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18 X users
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1 patent
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1 Facebook page

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68 Mendeley
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Article details
Title
Jak-TGFβ cross-talk links transient adipose tissue inflammation to beige adipogenesis
Published in
Science Signaling, April 2018
DOI 10.1126/scisignal.aai7838
Pubmed ID
Authors
Abstract

The transient activation of inflammatory networks is required for adipose tissue remodeling including the "browning" of white fat in response to stimuli such as β3-adrenergic receptor activation. In this process, white adipose tissue acquires thermogenic characteristics through the recruitment of so-called beige adipocytes. We investigated the downstream signaling pathways impinging on adipocyte progenitors that promote de novo formation of adipocytes. We showed that the Jak family of kinases controlled TGFβ signaling in the adipose tissue microenvironment through Stat3 and thereby adipogenic commitment, a function that was required for beige adipocyte differentiation of murine and human progenitors. Jak/Stat3 inhibited TGFβ signaling to the transcription factors Srf and Smad3 by repressing local Tgfb3 and Tgfb1 expression before the core transcriptional adipogenic cascade was activated. This pathway cross-talk was triggered in stromal cells by ATGL-dependent adipocyte lipolysis and a transient wave of IL-6 family cytokines at the onset of adipose tissue remodeling induced by β3-adrenergic receptor stimulation. Our results provide insight into the activation of adipocyte progenitors and are relevant for the therapeutic targeting of adipose tissue inflammatory pathways.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 18%
Student > Master 7 10%
Student > Ph. D. Student 5 7%
Other 4 6%
Student > Doctoral Student 4 6%
Other 13 19%
Unknown 23 34%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 25%
Agricultural and Biological Sciences 7 10%
Medicine and Dentistry 6 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Immunology and Microbiology 1 1%
Other 2 3%
Unknown 32 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 02 June 2026.
All research outputs
#3,631,129
of 34,666,990 outputs
Outputs from Science Signaling
#1,213
of 3,708 outputs
Outputs of similar age
#55,134
of 371,366 outputs
Outputs of similar age from Science Signaling
#28
of 62 outputs
Altmetric has tracked 34,666,990 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.9. This one has gotten more attention than average, scoring higher than 67% 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 371,366 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 85% of its contemporaries.
We're also able to compare this research output to 62 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 54% of its contemporaries.