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A Two-Compartment Model of VEGF Distribution in the Mouse

Overview of attention for article published in PLOS ONE, November 2011
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Title
A Two-Compartment Model of VEGF Distribution in the Mouse
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027514
Pubmed ID
Authors

Phillip Yen, Stacey D. Finley, Marianne O. Engel-Stefanini, Aleksander S. Popel

Abstract

Vascular endothelial growth factor (VEGF) is a key regulator of angiogenesis--the growth of new microvessels from existing microvasculature. Angiogenesis is a complex process involving numerous molecular species, and to better understand it, a systems biology approach is necessary. In vivo preclinical experiments in the area of angiogenesis are typically performed in mouse models; this includes drug development targeting VEGF. Thus, to quantitatively interpret such experimental results, a computational model of VEGF distribution in the mouse can be beneficial. In this paper, we present an in silico model of VEGF distribution in mice, determine model parameters from existing experimental data, conduct sensitivity analysis, and test the validity of the model. The multiscale model is comprised of two compartments: blood and tissue. The model accounts for interactions between two major VEGF isoforms (VEGF(120) and VEGF(164)) and their endothelial cell receptors VEGFR-1, VEGFR-2, and co-receptor neuropilin-1. Neuropilin-1 is also expressed on the surface of parenchymal cells. The model includes transcapillary macromolecular permeability, lymphatic transport, and macromolecular plasma clearance. Simulations predict that the concentration of unbound VEGF in the tissue is approximately 50-fold greater than in the blood. These concentrations are highly dependent on the VEGF secretion rate. Parameter estimation was performed to fit the simulation results to available experimental data, and permitted the estimation of VEGF secretion rate in healthy tissue, which is difficult to measure experimentally. The model can provide quantitative interpretation of preclinical animal data and may be used in conjunction with experimental studies in the development of pro- and anti-angiogenic agents. The model approximates the normal tissue as skeletal muscle and includes endothelial cells to represent the vasculature. As the VEGF system becomes better characterized in other tissues and cell types, the model can be expanded to include additional compartments and vascular elements.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 2 3%
Switzerland 1 2%
Germany 1 2%
Poland 1 2%
Unknown 53 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Researcher 9 15%
Student > Master 8 13%
Student > Doctoral Student 5 8%
Student > Postgraduate 5 8%
Other 14 23%
Unknown 8 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 28%
Medicine and Dentistry 12 20%
Engineering 9 15%
Biochemistry, Genetics and Molecular Biology 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Other 7 12%
Unknown 7 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 November 2011.
All research outputs
#17,651,093
of 22,656,971 outputs
Outputs from PLOS ONE
#146,144
of 193,432 outputs
Outputs of similar age
#115,144
of 142,921 outputs
Outputs of similar age from PLOS ONE
#2,083
of 2,628 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 2,628 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.