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Metabolic shift in density-dependent stem cell differentiation

Overview of attention for article published in Cell Communication and Signaling, October 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 1,010)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
7 news outlets
blogs
3 blogs
twitter
7 X users

Citations

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18 Dimensions

Readers on

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45 Mendeley
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Title
Metabolic shift in density-dependent stem cell differentiation
Published in
Cell Communication and Signaling, October 2017
DOI 10.1186/s12964-017-0173-2
Pubmed ID
Authors

Simar J. Singh, William Turner, Drew E. Glaser, Kara E. McCloskey, Fabian V. Filipp

Abstract

Vascular progenitor cells (VPCs) derived from embryonic stem cells (ESCs) are a valuable source for cell- and tissue-based therapeutic strategies. During the optimization of endothelial cell (EC) inductions from mouse ESCs using our staged and chemically-defined induction methods, we found that cell seeding density but not VEGF treatment between 10 ng/mL and 40 ng/mL was a significant variable directing ESCs into FLK1(+) VPCs during stage 1 induction. Here, we examine potential contributions from cell-to-cell signaling or cellular metabolism in the production of VPCs from ESCs seeded at different cell densities. Using 1D (1)H-NMR spectroscopy, transcriptomic arrays, and flow cytometry, we observed that the density-dependent differentiation of ESCs into FLK1(+) VPCs positively correlated with a shift in metabolism and cellular growth. Specifically, cell differentiation correlated with an earlier plateauing of exhaustive glycolysis, decreased lactate production, lower metabolite consumption, decreased cellular proliferation and an increase in cell size. In contrast, cells seeded at a lower density of 1,000 cells/cm(2) exhibited increased rates of glycolysis, lactate secretion, metabolite utilization, and proliferation over the same induction period. Gene expression analysis indicated that high cell seeding density correlated with up-regulation of several genes including cell adhesion molecules of the notch family (NOTCH1 and NOTCH4) and cadherin family (CDH5) related to vascular development. These results confirm that a distinct metabolic phenotype correlates with cell differentiation of VPCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 24%
Student > Bachelor 5 11%
Student > Master 5 11%
Researcher 4 9%
Student > Doctoral Student 2 4%
Other 5 11%
Unknown 13 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 22%
Agricultural and Biological Sciences 8 18%
Medicine and Dentistry 6 13%
Engineering 3 7%
Sports and Recreations 1 2%
Other 3 7%
Unknown 14 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 81. 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 03 October 2018.
All research outputs
#451,920
of 23,006,268 outputs
Outputs from Cell Communication and Signaling
#8
of 1,010 outputs
Outputs of similar age
#10,762
of 328,577 outputs
Outputs of similar age from Cell Communication and Signaling
#1
of 14 outputs
Altmetric has tracked 23,006,268 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 1,010 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 99% 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 328,577 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 96% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.