The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/22040729

van Asten, Jordy; Latorre, Marcos; Karakaya, Cansu; Baaijens, Frank; Sahlgren, Cecilia et. al. (2023): Data belonging to the publication "A multiscale computational model of arterial growth and remodeling including Notch signaling". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/22040729.v1

Dataset

• Biomedical Engineering
• Engineering

artery, computational model, constrained mixture model, growth and remodeling, mechanobiology, Notch signaling

CC BY 4.0

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by Jordy van Asten , Marcos Latorre, Cansu Karakaya , Frank Baaijens, Cecilia Sahlgren, Tommaso Ristori, Jay Humphrey, Sandra Loerakker

This study presents a multiscale computational framework coupling a constrained mixture model, capturing the mechanics and turnover of arterial constituents, to a cell-cell signaling model, describing Notch signaling dynamics among vascular smooth muscle cells. Tissue turnover was regulated by both Notch activity, informed by in vitro data obtained from human coronary artery smooth muscle cells, and a phenomenological contribution, accounting for mechanisms other than Notch. The framework was used to predict changes in wall thickness and arterial composition in response to hypertension and thereby demonstrated the effects of Notch signaling and Notch interventions on this process. 

This dataset contains the computational codes for the multiscale framework (i.e. the constrained mixture model and the Notch signaling model), the codes for the data fitting and optimization, and the raw data from the simulations and the in vitro experiments used to inform the model.

• 2023-10-18 first online, published, posted

4TU.ResearchData

*.m, *.mat, *.txt

A multiscale computational model of arterial growth and remodeling including Notch signaling

• Predicting cardiovascular regeneration: integrating mechanical cues and signaling pathways (grant code 802967) [more info...] European Research Council
• The integration of cell signalling and mechanical forces in vascular morphology (grant code 771168) [more info...] European Research Council
• Investigating the crosstalk between Notch and YAP/TAZ in sprouting angiogenesis (grant code 846617) [more info...] European Commission

Eindhoven University of Technology, Department of Biomedical Engineering, the Netherlands;
Eindhoven University of Technology, Institute for Complex Molecular Systems, the Netherlands;
Universitat Politècnica de València, Center for Research and Innovation in Bioengineering, Spain;
Åbo Akademi, Faculty of Science and Engineering, Biosciences, Turku, Finland;
Yale University, Department of Biomedical Engineering, New Haven, USA