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Selective Development of Myogenic Mesenchymal Cells from Human Embryonic and Induced Pluripotent Stem Cells

Overview of attention for article published in PLOS ONE, December 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users
patent
3 patents
facebook
1 Facebook page

Citations

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73 Dimensions

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108 Mendeley
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Title
Selective Development of Myogenic Mesenchymal Cells from Human Embryonic and Induced Pluripotent Stem Cells
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051638
Pubmed ID
Authors

Tomonari Awaya, Takeo Kato, Yuta Mizuno, Hsi Chang, Akira Niwa, Katsutsugu Umeda, Tatsutoshi Nakahata, Toshio Heike

Abstract

Human embryonic stem (ES) cells and induced pluripotent stem (iPS) cells are promising sources for the cell therapy of muscle diseases and can serve as powerful experimental tools for skeletal muscle research, provided an effective method to induce skeletal muscle cells is established. However, the current methods for myogenic differentiation from human ES cells are still inefficient for clinical use, while myogenic differentiation from human iPS cells remains to be accomplished. Here, we aimed to establish a practical differentiation method to induce skeletal myogenesis from both human ES and iPS cells. To accomplish this goal, we developed a novel stepwise culture method for the selective expansion of mesenchymal cells from cell aggregations called embryoid bodies. These mesenchymal cells, which were obtained by dissociation and re-cultivation of embryoid bodies, uniformly expressed CD56 and the mesenchymal markers CD73, CD105, CD166, and CD29, and finally differentiated into mature myotubes in vitro. Furthermore, these myogenic mesenchymal cells exhibited stable long-term engraftment in injured muscles of immunodeficient mice in vivo and were reactivated upon subsequent muscle damage, increasing in number to reconstruct damaged muscles. Our simple differentiation system facilitates further utilization of ES and iPS cells in both developmental and pathological muscle research and in serving as a practical donor source for cell therapy of muscle diseases.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Unknown 105 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 23%
Student > Ph. D. Student 19 18%
Student > Master 13 12%
Student > Bachelor 12 11%
Student > Doctoral Student 10 9%
Other 13 12%
Unknown 16 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 41%
Biochemistry, Genetics and Molecular Biology 22 20%
Medicine and Dentistry 15 14%
Neuroscience 3 3%
Engineering 3 3%
Other 3 3%
Unknown 18 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 14 March 2019.
All research outputs
#1,973,680
of 22,689,790 outputs
Outputs from PLOS ONE
#25,368
of 193,655 outputs
Outputs of similar age
#19,403
of 277,812 outputs
Outputs of similar age from PLOS ONE
#510
of 4,765 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,655 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 86% 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 277,812 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 4,765 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.