In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 6 ( 2021-6-28), p. e1009094-
Abstract:
Angiogenesis is the process by which blood vessels form from pre-existing vessels. It plays a key role in many biological processes, including embryonic development and wound healing, and contributes to many diseases including cancer and rheumatoid arthritis. The structure of the resulting vessel networks determines their ability to deliver nutrients and remove waste products from biological tissues. Here we simulate the Anderson-Chaplain model of angiogenesis at different parameter values and quantify the vessel architectures of the resulting synthetic data. Specifically, we propose a topological data analysis (TDA) pipeline for systematic analysis of the model. TDA is a vibrant and relatively new field of computational mathematics for studying the shape of data. We compute topological and standard descriptors of model simulations generated by different parameter values. We show that TDA of model simulation data stratifies parameter space into regions with similar vessel morphology. The methodologies proposed here are widely applicable to other synthetic and experimental data including wound healing, development, and plant biology.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1009094
DOI:
10.1371/journal.pcbi.1009094.g001
DOI:
10.1371/journal.pcbi.1009094.g002
DOI:
10.1371/journal.pcbi.1009094.g003
DOI:
10.1371/journal.pcbi.1009094.g004
DOI:
10.1371/journal.pcbi.1009094.g005
DOI:
10.1371/journal.pcbi.1009094.g006
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10.1371/journal.pcbi.1009094.g007
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10.1371/journal.pcbi.1009094.g008
DOI:
10.1371/journal.pcbi.1009094.g009
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10.1371/journal.pcbi.1009094.g010
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10.1371/journal.pcbi.1009094.g011
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10.1371/journal.pcbi.1009094.g012
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10.1371/journal.pcbi.1009094.g013
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10.1371/journal.pcbi.1009094.g014
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10.1371/journal.pcbi.1009094.t001
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10.1371/journal.pcbi.1009094.s001
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10.1371/journal.pcbi.1009094.s002
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10.1371/journal.pcbi.1009094.s003
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10.1371/journal.pcbi.1009094.s004
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10.1371/journal.pcbi.1009094.s005
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10.1371/journal.pcbi.1009094.s006
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10.1371/journal.pcbi.1009094.s007
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10.1371/journal.pcbi.1009094.s008
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10.1371/journal.pcbi.1009094.s009
DOI:
10.1371/journal.pcbi.1009094.s010
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10.1371/journal.pcbi.1009094.s011
DOI:
10.1371/journal.pcbi.1009094.s012
DOI:
10.1371/journal.pcbi.1009094.s013
DOI:
10.1371/journal.pcbi.1009094.s014
DOI:
10.1371/journal.pcbi.1009094.s015
DOI:
10.1371/journal.pcbi.1009094.s016
DOI:
10.1371/journal.pcbi.1009094.s017
DOI:
10.1371/journal.pcbi.1009094.r001
DOI:
10.1371/journal.pcbi.1009094.r002
DOI:
10.1371/journal.pcbi.1009094.r003
DOI:
10.1371/journal.pcbi.1009094.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2193340-6
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