Evidence map›Paper›PMID 26158406›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2015

Agent-based model of angiogenesis simulates capillary sprout initiation in multicellular networks.

J Walpole, J C Chappell, J G Cluceru, F Mac Gabhann, V L Bautch, S M Peirce

Open access · greenAbstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 40 citations in OpenAlex.

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  14. Microvascular bioengineering: a focus on pericytes.Journal of biological engineering · 2019
    Review
  15. Article
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  20. The temporal basis of angiogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

J WalpoleDepartment of Biomedical Engineering, University of Virginia, Virginia, USA. jbw2w@virginia.edu.
J C Chappell
J G Cluceru
F Mac Gabhann
V L Bautch
S M Peirce
University of North Carolina at Chapel Hill · USUniversity of Virginia · USComputational Physics (United States) · US

Funding

BASIC CARDIOVASCULAR RESEARCH TRAINING GRANTT32HL007284 · NHLBI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Brant E Isakson, Gary K Owens · 1985 to 2026
$19.6M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
MOLECULAR CONTROL OF ANGIOGENESISR01HL043174 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAUTCH, VICTORIA L · 1989 to 2017
$4.7M
Adipose Stem Cells for Diabetic RetinopathyR01EY022063 · NEI · UNIVERSITY OF VIRGINIA · PI HERMAN, IRA M, PEIRCE-COTTLER, SHAYN · 2012 to 2015
$2.0M
Arteriole/Venule Polarity in Adult MicrovasculatureR01HL082838 · NHLBI · UNIVERSITY OF VIRGINIA · PI PEIRCE-COTTLER, SHAYN · 2007 to 2011
$1.9M
Endothelial cell decisions integrate soluble and matrix-bound VEGF gradientsR00HL093219 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MAC GABHANN, FEILIM C · 2009 to 2011
$746k
The Role of Vascular Flt-1 in Endothelial-Pericyte InteractionsK99HL105779 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHAPPELL, JOHN CHRISTOPHER · 2012 to 2013
$236k
Flt-1 (VEGFR-1) Regulation of Endothelial Cell Sprouting and Vessel MorphogenesisF32HL095359 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHAPPELL, JOHN CHRISTOPHER · 2009 to 2010
$102k
NEI NIH HHS R01 EY022063NHLBI NIH HHS F32 HL095359NHLBI NIH HHS F32HL95359NHLBI NIH HHS K99 HL105779NHLBI NIH HHS K99HL105779NHLBI NIH HHS R00 HL093219NHLBI NIH HHS R00HL093219NHLBI NIH HHS R01 HL043174NHLBI NIH HHS R01 HL082838NHLBI NIH HHS R01 HL43174NHLBI NIH HHS T32 HL007284NHLBI NIH HHS T32-HL007284NIGMS NIH HHS T32 GM007267
6 · The paper itself

Abstract

Many biological processes are controlled by both deterministic and stochastic influences. However, efforts to model these systems often rely on either purely stochastic or purely rule-based methods. To better understand the balance between stochasticity and determinism in biological processes a computational approach that incorporates both influences may afford additional insight into underlying biological mechanisms that give rise to emergent system properties. We apply a combined approach to the simulation and study of angiogenesis, the growth of new blood vessels from existing networks. This complex multicellular process begins with selection of an initiating endothelial cell, or tip cell, which sprouts from the parent vessels in response to stimulation by exogenous cues. We have constructed an agent-based model of sprouting angiogenesis to evaluate endothelial cell sprout initiation frequency and location, and we have experimentally validated it using high-resolution time-lapse confocal microscopy. ABM simulations were then compared to a Monte Carlo model, revealing that purely stochastic simulations could not generate sprout locations as accurately as the rule-informed agent-based model. These findings support the use of rule-based approaches for modeling the complex mechanisms underlying sprouting angiogenesis over purely stochastic methods.

Indexed as

Models, CardiovascularAngiogenic ProteinsAnimalsCapillariesCell CommunicationComputer SimulationEmbryoid BodiesHumansModels, StatisticalNeovascularization, PhysiologicAngiogenic Proteins

Identifiers

PMID26158406
PMCPMC4558383
OpenAlexW2148239387

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.