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Orchestrating osteogenic differentiation of mesenchymal stem cells—identification of placental growth factor as a mechanosensitive gene with a pro‐osteogenic role

Overview of attention for article published in Stem Cells, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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9 X users

Citations

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43 Dimensions

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72 Mendeley
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Title
Orchestrating osteogenic differentiation of mesenchymal stem cells—identification of placental growth factor as a mechanosensitive gene with a pro‐osteogenic role
Published in
Stem Cells, November 2013
DOI 10.1002/stem.1482
Pubmed ID
Authors

Ryan J. McCoy, Amro Widaa, Karen M. Watters, Maximilian Wuerstle, Ray L. Stallings, Garry P. Duffy, Fergal J. O'Brien

Abstract

Skeletogenesis is initiated during fetal development and persists through adult life as either a remodeling process in response to homeostatic regulation or as a regenerative process in response to physical injury. Mesenchymal stem cells (MSCs) play a crucial role providing progenitor cells from which osteoblasts, bone matrix forming cells are differentiated. The mechanical environment plays an important role in regulating stem cell differentiation into osteoblasts, however, the mechanisms by which MSCs respond to mechanical stimuli are yet to be fully elucidated. To increase understanding of MSC mechanotransuction and osteogenic differentiation, this study aimed to identify novel, mechanically augmented genes and pathways with pro-osteogenic functionality. Using collagen glycoaminoglycan scaffolds as mimics of native extracellular matrix, to create a 3D environment more representative of that found in bone, MSC-seeded constructs were mechanically stimulated in a flow-perfusion bioreactor. Global gene expression profiling techniques were used to identify potential candidates warranting further investigation. Of these, placental growth factor (PGF) was selected and expression levels were shown to strongly correlate to both the magnitude and duration of mechanical stimulation. We demonstrated that PGF gene expression was modulated through an actin polymerization-mediated mechanism. The functional role of PGF in modulating MSC osteogenic differentiation was interrogated, and we showed a concentration-dependent response whereby low concentrations exhibited the strongest pro-osteogenic effect. Furthermore, pre-osteoclast migration and differentiation, as well as endothelial cell tubule formation also maintained concentration-dependent responses to PGF, suggesting a potential role for PGF in bone resorption and angiogenesis, processes key to bone remodeling and fracture repair.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ireland 2 3%
United Kingdom 1 1%
Unknown 69 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 31%
Researcher 9 13%
Student > Master 9 13%
Student > Bachelor 9 13%
Professor > Associate Professor 3 4%
Other 10 14%
Unknown 10 14%
Readers by discipline Count As %
Medicine and Dentistry 14 19%
Agricultural and Biological Sciences 11 15%
Engineering 10 14%
Biochemistry, Genetics and Molecular Biology 9 13%
Materials Science 4 6%
Other 7 10%
Unknown 17 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 April 2021.
All research outputs
#5,672,787
of 22,715,151 outputs
Outputs from Stem Cells
#1,657
of 3,897 outputs
Outputs of similar age
#50,387
of 211,365 outputs
Outputs of similar age from Stem Cells
#26
of 83 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,897 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 57% 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 211,365 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 76% of its contemporaries.
We're also able to compare this research output to 83 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 68% of its contemporaries.