five

Development of Integrative Platforms with Engineered Cardiomyocyte-Fibroblast Interactions for Cardiac Tissue Engineering Applications

收藏
DataCite Commons2025-05-30 更新2026-05-07 收录
下载链接:
https://curate.nd.edu/articles/dataset/Development_of_Integrative_Platforms_with_Engineered_Cardiomyocyte-Fibroblast_Interactions_for_Cardiac_Tissue_Engineering_Applications/29019203/1
下载链接
链接失效反馈
官方服务:
资源简介:
Cardiovascular disease, particularly myocardial infarction (MI), leads to irreversible cardiomyocyte (CM) loss and fibrotic remodeling, driven by complex interactions among CMs, cardiac fibroblasts (CFs), and immune cells. This dissertation presents a series of engineered in vitro platforms to investigate these multicellular dynamics and explore their applications in disease modeling and biological computation. A two-dimensional micropatterned CM–CF system was developed to study synchronization between physically separated CM clusters connected by CFs. By integrating microtopographic features with microelectrode arrays, the platform enabled real-time analysis of intercellular coupling and rhythm coordination. To investigate immune contributions to fibrosis, a macrophage-integrated CM–CF model was created. Introducing distinct macrophage phenotypes revealed how pro-inflammatory versus reparative immune cells influence CF activation, extracellular matrix production, and CM electrophysiology. Expanding to a three-dimensional context, a cardiac fibrosis-on-a-chip microfluidic device was developed to mimic the spatial heterogeneity and immune dynamics of the infarcted heart. This platform allows for region-specific cell patterning and immune stimulation, enabling detailed study of localized cardiac-immune interactions. Finally, leveraging the synchronized beating of CM clusters, a cardiac cell-based biocomputing platform was designed to solve the vertex coloring problem. This biologically inspired system uses the phase dynamics of beating cells to approximate solutions to complex optimization problems with minimal energy input. Together, these platforms advance our understanding of cardiac pathology and demonstrate the potential of living systems in both therapeutic modeling and unconventional computing.
提供机构:
University of Notre Dame
创建时间:
2025-05-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作