↓ Skip to main content

Muscle PGC-1α modulates satellite cell number and proliferation by remodeling the stem cell niche

Overview of attention for article published in Skeletal Muscle, December 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#16 of 385)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
26 X users
facebook
1 Facebook page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
64 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Muscle PGC-1α modulates satellite cell number and proliferation by remodeling the stem cell niche
Published in
Skeletal Muscle, December 2016
DOI 10.1186/s13395-016-0111-9
Pubmed ID
Authors

Ivana Dinulovic, Regula Furrer, Markus Beer, Arnaud Ferry, Bettina Cardel, Christoph Handschin

Abstract

The myogenic capacity of satellite cells (SCs), adult muscle stem cells, is influenced by aging, exercise, and other factors. In skeletal muscle, the peroxisome proliferator-activated receptor γ coactivator 1α (PGC-1α) is a key regulator of oxidative metabolism and endurance training adaptation. However, a link between PGC-1α and SC behavior remains unexplored. We have now studied SC function in a PGC-1α fiber-specific gain-of-function animal model. In surprising contrast to bona fide exercise, muscle-specific PGC-1α transgenic mice have lower SC numbers. Nevertheless, SCs from these mice have a higher propensity for activation and proliferation. Intriguingly, muscle PGC-1α triggers a remodeling of the SC niche by altering the extracellular matrix composition, including the levels of fibronectin, which affects the proliferative output of SCs. Taken together, PGC-1α indirectly affects SC plasticity in skeletal muscle and thereby might contribute to improved SC activation in exercise.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Switzerland 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 19%
Student > Master 12 19%
Researcher 8 13%
Student > Bachelor 7 11%
Student > Doctoral Student 5 8%
Other 11 17%
Unknown 9 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 39%
Agricultural and Biological Sciences 12 19%
Medicine and Dentistry 4 6%
Nursing and Health Professions 2 3%
Sports and Recreations 2 3%
Other 9 14%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 05 July 2023.
All research outputs
#1,305,524
of 25,085,000 outputs
Outputs from Skeletal Muscle
#16
of 385 outputs
Outputs of similar age
#26,224
of 427,768 outputs
Outputs of similar age from Skeletal Muscle
#3
of 11 outputs
Altmetric has tracked 25,085,000 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 385 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 96% 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 427,768 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 93% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.