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DOI: 10.4121/f1ca41cd-df90-4aac-9712-8fe4b1c25f80

van Asten, Jordy; Sahlgren, Cecilia; Humphrey, Jay; Ristori, Tommaso; Loerakker, Sandra (2025): Data belonging to the publication "Predicted effects of patient variability and Notch signaling on in situ vascular tissue engineering". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/f1ca41cd-df90-4aac-9712-8fe4b1c25f80.v1

Categories

• Biomedical Engineering
• Engineering

Keywords

artery Computational model constrained mixture model Growth and remodeling Mechanobiology Mechanosensitivity Notch signaling Vascular tissue engineering

Licence

CC BY 4.0

Interoperability

• RO-Crate Metadata

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by Jordy van Asten , Cecilia Sahlgren, Jay Humphrey, Tommaso Ristori, Sandra Loerakker

This study adopts a previously published multiscale computational framework for arterial growth and remodeling and adapts it for applications in in situ vascular tissue engineering. The framework consists of a constrained mixture model, capturing the mechanics and turnover of arterial constituents, and a cell-cell signaling model, describing Notch signaling dynamics among vascular smooth muscle cells. With the model, we computationally explored potential sources of tissue engineered vascular graft (TEVG) variability and effects of manipulating Notch, a key vascular signaling pathway. We simulated the evolution of a TEVG from a degradable scaffold under varying patient-specific conditions.

This dataset contains the computational codes for the multiscale framework and the raw data from the simulations.

History

• 2025-11-07 first online, published, posted

Publisher

4TU.ResearchData

Format

.m, .mat, .txt

Funding

• 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

Organizations

Eindhoven University of Technology, Department of Biomedical Engineering, the Netherlands
Åbo Akademi, Faculty of Science and Engineering, Biosciences, Turku, Finland
Yale University, Department of Biomedical Engineering, New Haven, USA