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Functional Definition of Progenitors Versus Mature Endothelial Cells Reveals Key SoxF-Dependent Differentiation Process

Overview of attention for article published in Circulation, November 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

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3 news outlets
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10 X users
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3 Facebook pages

Citations

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105 Dimensions

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76 Mendeley
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Title
Functional Definition of Progenitors Versus Mature Endothelial Cells Reveals Key SoxF-Dependent Differentiation Process
Published in
Circulation, November 2016
DOI 10.1161/circulationaha.116.024754
Pubmed ID
Authors

Jatin Patel, Elke J Seppanen, Mathieu P Rodero, Ho Yi Wong, Prudence Donovan, Zoltan Neufeld, Nicholas M Fisk, Mathias Francois, Kiarash Khosrotehrani

Abstract

-During adult life, blood vessel formation is thought to occur via angiogenic processes involving branching from existing vessels. An alternate proposal suggests that neo-vessels form from endothelial progenitors able to assemble the intimal layers. We here aimed to define vessel-resident endothelial progenitors in vivo in a variety of tissues in physiological and pathological situations such as normal aorta, lungs, as well as wound healing, tumors and placenta. -Based on protein expression levels of common endothelial markers using flow cytometry, three sub-populations of endothelial cells could be identified among VE-Cadherin+ and CD45- cells. -Lineage tracing using Cdh5cre(ERt2)/Rosa-YFP reporter strategy demonstrated that the CD31-/loVEGFR2lo/intracellular endothelial population was indeed an endovascular progenitor (EVP) of an intermediate CD31intVEGFR2lo/intracellular transit amplifying (TA) and a definitive differentiated (D) CD31hiVEGFR2hi/extracellular population. EVP cells arose from vascular resident beds that could not be transferred by bone marrow transplantation. Furthermore, EVP displayed progenitor like status with a high proportion of cells in a quiescent cell cycle phase as assessed in wounds, tumors and aorta. Only EVP cells and not TA and D cells had self-renewal capacity as demonstrated by colony forming capacity in limiting dilution and by transplantation in Matrigel(TM) plugs in recipient mice. RNA sequencing revealed prominent gene expression differences between EVP and D cells. In particular, EVP cells highly expressed genes related to progenitor function including Sox9, Il33, Egfr and Pdfgrα Conversely, D cells highly expressed genes related to differentiated endothelium including Ets1&2, Gata2, Cd31, Vwf and Notch The RNA sequencing also pointed to an essential role of the Sox18 transcription factor. SOX18's role in the differentiation process was validated using lineage-tracing experiments based on Sox18Cre(ERt2)/Rosa-YFP mice. Besides, in the absence of functional SOX18/SOXF, EVP progenitors were still present, but TA and D populations were significantly reduced. -Our findings support an entirely novel endothelial hierarchy, from EVP to TA to D, as defined by self-renewal, differentiation and molecular profiling of an endothelial progenitor. This paradigm shift in our understanding of vascular resident endothelial progenitors in tissue regeneration opens new avenues for better understanding of cardiovascular biology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 12 16%
Student > Master 11 14%
Student > Bachelor 9 12%
Other 6 8%
Other 7 9%
Unknown 14 18%
Readers by discipline Count As %
Medicine and Dentistry 19 25%
Biochemistry, Genetics and Molecular Biology 18 24%
Agricultural and Biological Sciences 7 9%
Immunology and Microbiology 5 7%
Engineering 4 5%
Other 6 8%
Unknown 17 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 26 February 2017.
All research outputs
#1,299,719
of 25,377,790 outputs
Outputs from Circulation
#3,098
of 21,093 outputs
Outputs of similar age
#25,812
of 416,880 outputs
Outputs of similar age from Circulation
#68
of 194 outputs
Altmetric has tracked 25,377,790 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 21,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.4. This one has done well, scoring higher than 85% 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 416,880 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 194 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 64% of its contemporaries.