Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension"

Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension"

Description

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.
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Year of publication

2022

Authors

4TU.ResearchData - Publisher

Cecilia Sahlgren Orcid -palvelun logo - Creator

Other information

Fields of science

Biochemistry, cell and molecular biology

Open access

Open

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

Keywords

Biomedical Engineering, mechanobiology, FOS: Medical engineering, Notch signaling, agent-based model, Finite Element model, growth and remodeling, Hypertension
Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension" - Research.fi