TY - DATA T1 - Data belonging to the publication: "Computational analysis of the role of mechanosensitive Notch signaling in arterial adaptation to hypertension" PY - 2022/07/07 AU - Jordy van Asten AU - Tommaso Ristori AU - David Nolan AU - CaitrĂ­ona Lally AU - Frank Baaijens AU - Cecilia Sahlgren AU - Sandra Loerakker UR - https://data.4tu.nl/articles/dataset/Data_belonging_to_the_publication_Computational_analysis_of_the_role_of_mechanosensitive_Notch_signaling_in_arterial_adaptation_to_hypertension_/20237562/1 DO - 10.4121/20237562.v1 KW - Finite Element model KW - Agent-Based model KW - Hypertension KW - Notch signaling KW - Growth and remodeling KW - Mechanobiology N2 -

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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