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The importance of geometry in the corneal micropocket angiogenesis assay

Abstract:
The corneal micropocket angiogenesis assay is an experimental protocol for studying vessel network formation, or neovascularization, in vivo. The assay is attractive due to the ease with which the developing vessel network can be observed in the same animal over time. Measurements from the assay have been used in combination with mathematical modeling to gain insights into the mechanisms of angiogenesis. While previous modeling studies have adopted planar domains to represent the assay, the hemispherical shape of the cornea and asymmetric positioning of the angiogenic source can be seen to affect vascular patterning in experimental images. As such, we aim to better understand: i) how the geometry of the assay influences vessel network formation and ii) how to relate observations from planar domains to those in the hemispherical cornea. To do so, we develop a three-dimensional, off-lattice mathematical model of neovascularization in the cornea, using a spatially resolved representation of the assay for the first time. Relative to the detailed model, we predict that the adoption of planar geometries has a noticeable impact on vascular patterning, leading to increased vessel ‘merging’, or anastomosis, in particular when circular geometries are adopted. Significant differences in the dynamics of diffusible aniogenesis simulators are also predicted between different domains. In terms of comparing predictions across domains, the ‘distance of the vascular front to the limbus’ metric is found to have low sensitivity to domain choice, while metrics such as densities of tip cells and vessels and ‘vascularized fraction’ are sensitive to domain choice. Given the widespread adoption and attractive simplicity of planar tissue domains, both in silico and in vitro, the differences identified in the present study should prove useful in relating the results of previous and future theoretical studies of neovascularization to in vivo observations in the cornea.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pcbi.1006049

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Oxford college:
Exeter College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author


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Grant:
600841(toJ.A.G.,A.J.C.,H.M.B.,
J.M.P.-F


Publisher:
Public Library of Science
Journal:
PLoS Computational Biology More from this journal
Volume:
14
Issue:
3
Article number:
e1006049
Publication date:
2018-03-09
Acceptance date:
2018-02-22
DOI:
EISSN:
1553-7358
ISSN:
1553-734X


Pubs id:
pubs:825837
UUID:
uuid:7c09a51a-a971-4741-aee2-cb2fad142f9f
Local pid:
pubs:825837
Source identifiers:
825837
Deposit date:
2018-02-22

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