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Direct conversion of human myoblasts into brown‐like adipocytes by engineered super‐active PPARγ

Overview of attention for article published in Obesity, April 2015
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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 (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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11 X users
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4 Facebook pages

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26 Mendeley
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Article details
Title
Direct conversion of human myoblasts into brown‐like adipocytes by engineered super‐active PPARγ
Published in
Obesity, April 2015
DOI 10.1002/oby.21062
Pubmed ID
Authors
Abstract

To determine whether super-activation of PPARγ can reprogram human myoblasts into brown-like adipocytes and to establish a new cell model for browning research. To enhance the PPARγ signaling, M3, the transactivation domain of MyoD, was fused to PPARγ. PPARγ and M3-PPARγ-lentiviral vectors were used to convert human myoblasts into adipocytes. Brown adipocyte markers of the reprogrammed adipocytes were assessed by qPCR and protein analyses. White adipocytes differentiated from subcutaneous stromal vascular cells and perithyroid brown fat tissues were used as references. In transient transfections, M3-PPARγ had a stronger constitutive activity than PPARγ by reporter assay. Although the transduction of either PPARγ or M3-PPARγ induced adipogenesis in myoblasts, M3-PPARγ drastically induced the brown adipocyte markers of UCP1, CIDEA, and PRDM16 by 1,050, 2.4, and 5.0 fold, respectively and increased mitochondria contents by 4 fold, compared to PPARγ. Super-activation of PPARγ can effectively convert human myoblasts into brown-like adipocytes and a new approach to derive brown-like adipocytes.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 26 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 %
United States 1 4%
Germany 1 4%
Unknown 24 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 3 12%
Researcher 3 12%
Other 2 8%
Professor > Associate Professor 2 8%
Other 2 8%
Unknown 10 38%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 7 27%
Biochemistry, Genetics and Molecular Biology 5 19%
Medicine and Dentistry 2 8%
Sports and Recreations 1 4%
Unknown 11 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 07 May 2015.
All research outputs
#4,608,055
of 25,374,917 outputs
Outputs from Obesity
#2,057
of 5,065 outputs
Outputs of similar age
#54,342
of 279,303 outputs
Outputs of similar age from Obesity
#30
of 71 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,065 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.6. This one has gotten more attention than average, scoring higher than 59% 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 279,303 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 80% 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 has gotten more attention than average, scoring higher than 57% of its contemporaries.