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ERBB3 and NGFR mark a distinct skeletal muscle progenitor cell in human development and hPSCs

Overview of attention for article published in Nature Cell Biology, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
16 news outlets
blogs
3 blogs
twitter
35 X users
patent
2 patents
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
153 Dimensions

Readers on

mendeley
198 Mendeley
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Title
ERBB3 and NGFR mark a distinct skeletal muscle progenitor cell in human development and hPSCs
Published in
Nature Cell Biology, December 2017
DOI 10.1038/s41556-017-0010-2
Pubmed ID
Authors

Michael R. Hicks, Julia Hiserodt, Katrina Paras, Wakana Fujiwara, Ascia Eskin, Majib Jan, Haibin Xi, Courtney S. Young, Denis Evseenko, Stanley F. Nelson, Melissa J. Spencer, Ben Van Handel, April D. Pyle

Abstract

Human pluripotent stem cells (hPSCs) can be directed to differentiate into skeletal muscle progenitor cells (SMPCs). However, the myogenicity of hPSC-SMPCs relative to human fetal or adult satellite cells remains unclear. We observed that hPSC-SMPCs derived by directed differentiation are less functional in vitro and in vivo compared to human satellite cells. Using RNA sequencing, we found that the cell surface receptors ERBB3 and NGFR demarcate myogenic populations, including PAX7 progenitors in human fetal development and hPSC-SMPCs. We demonstrated that hPSC skeletal muscle is immature, but inhibition of transforming growth factor-β signalling during differentiation improved fusion efficiency, ultrastructural organization and the expression of adult myosins. This enrichment and maturation strategy restored dystrophin in hundreds of dystrophin-deficient myofibres after engraftment of CRISPR-Cas9-corrected Duchenne muscular dystrophy human induced pluripotent stem cell-SMPCs. The work provides an in-depth characterization of human myogenesis, and identifies candidates that improve the in vivo myogenic potential of hPSC-SMPCs to levels that are equal to directly isolated human fetal muscle cells.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 198 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 20%
Student > Ph. D. Student 36 18%
Student > Master 23 12%
Student > Bachelor 18 9%
Student > Postgraduate 12 6%
Other 28 14%
Unknown 42 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 69 35%
Agricultural and Biological Sciences 37 19%
Medicine and Dentistry 13 7%
Engineering 11 6%
Neuroscience 8 4%
Other 17 9%
Unknown 43 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 152. 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 17 January 2024.
All research outputs
#268,233
of 25,263,619 outputs
Outputs from Nature Cell Biology
#93
of 4,099 outputs
Outputs of similar age
#6,031
of 453,215 outputs
Outputs of similar age from Nature Cell Biology
#5
of 36 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,099 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.3. This one has done particularly well, scoring higher than 97% 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 453,215 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 98% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.