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: 10.4121/20237562

van Asten, Jordy; Ristori, Tommaso; David Nolan; Caitríona Lally; Baaijens, Frank et. al. (2022): Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20237562.v1

Dataset

• Biomedical Engineering

Agent-Based model, Finite Element model, Growth and remodeling, Hypertension, Mechanobiology, Notch signaling

CC BY 4.0

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by Jordy van Asten , Tommaso Ristori , David Nolan , Caitríona Lally , Frank Baaijens , Cecilia Sahlgren , Sandra Loerakker

This study couples a Finite Element model for arterial mechanics to an Agent-Based model for mechanosensitive Notch signaling among vascular smooth muscle cells to predict the phenotype of these cells under hypertension, a loss of residual stresses in the artery, and manipulations of the Notch signaling pathway. This dataset contains the codes for the Finite Element model, the Agent-Based model and the coupling between them, as well as the raw data generated by these models.

• 2022-07-07 first online, published, posted

4TU.ResearchData

Abaqus input files (.inp) User subroutines in Fortran (.f) Matlab code (.m) Raw data (.txt) Abaqus output databases (.odb) Matlab Matfiles (.mat)

Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension

• 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

Department of Biomedical Engineering, Eindhoven University of Technology, the Netherlands
Institute for Complex Molecular Systems, Eindhoven University of Technology, the Netherlands
School of Engineering and Trinity Centre for Biomedical Engineering, Trinity College Dublin, Ireland
Faculty of Science and Engineering, Biosciences, Åbo Akademi, Turku, Finland