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A Network Model to Explore the Effect of the Micro-environment on Endothelial Cell Behavior during Angiogenesis

Overview of attention for article published in Frontiers in Physiology, November 2017
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Title
A Network Model to Explore the Effect of the Micro-environment on Endothelial Cell Behavior during Angiogenesis
Published in
Frontiers in Physiology, November 2017
DOI 10.3389/fphys.2017.00960
Pubmed ID
Authors

Nathan Weinstein, Luis Mendoza, Isidoro Gitler, Jaime Klapp

Abstract

Angiogenesis is an important adaptation mechanism of the blood vessels to the changing requirements of the body during development, aging, and wound healing. Angiogenesis allows existing blood vessels to form new connections or to reabsorb existing ones. Blood vessels are composed of a layer of endothelial cells (ECs) covered by one or more layers of mural cells (smooth muscle cells or pericytes). We constructed a computational Boolean model of the molecular regulatory network involved in the control of angiogenesis. Our model includes the ANG/TIE, HIF, AMPK/mTOR, VEGF, IGF, FGF, PLCγ/Calcium, PI3K/AKT, NO, NOTCH, and WNT signaling pathways, as well as the mechanosensory components of the cytoskeleton. The dynamical behavior of our model recovers the patterns of molecular activation observed in Phalanx, Tip, and Stalk ECs. Furthermore, our model is able to describe the modulation of EC behavior due to extracellular micro-environments, as well as the effect due to loss- and gain-of-function mutations. These properties make our model a suitable platform for the understanding of the molecular mechanisms underlying some pathologies. For example, it is possible to follow the changes in the activation patterns caused by mutations that promote Tip EC behavior and inhibit Phalanx EC behavior, that lead to the conditions associated with retinal vascular disorders and tumor vascularization. Moreover, the model describes how mutations that promote Phalanx EC behavior are associated with the development of arteriovenous and venous malformations. These results suggest that the network model that we propose has the potential to be used in the study of how the modulation of the EC extracellular micro-environment may improve the outcome of vascular disease treatments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 14%
Student > Master 6 12%
Student > Doctoral Student 6 12%
Student > Ph. D. Student 5 10%
Student > Bachelor 4 8%
Other 7 14%
Unknown 14 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 27%
Agricultural and Biological Sciences 5 10%
Medicine and Dentistry 4 8%
Engineering 3 6%
Unspecified 2 4%
Other 8 16%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 December 2017.
All research outputs
#13,882,258
of 23,008,860 outputs
Outputs from Frontiers in Physiology
#4,888
of 13,760 outputs
Outputs of similar age
#223,572
of 438,449 outputs
Outputs of similar age from Frontiers in Physiology
#129
of 329 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,760 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 64% 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 438,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 329 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 60% of its contemporaries.