Data underlying the PhD thesis: Spatial dynamics of intestinal homeostasis

This dataset contains data and artificial intelligence models underlying the PhD dissertation of Max Betjes, under supervision of (promotor) Prof. Dr. Ir. Sander J. Tans, and Prof. Dr. Jeroen van Zon. In this project, single-cell tracking of intestinal organoids was used to study the spatial dynamics of intestinal homeostasis. We developed a new cell tracking algorithm (Chapter 3), investigated intestinal lineage hierarchies (Chapter 4), studied subtypes of the Tuft intestinal cell type (Chapter 5) and finally worked on the patterning of secretory cells in the crypt (Chapter 6). This repository contains data pertaining to the figures in Chapter 6. Data for the other chapters (3, 4, 5) is available as per the data availability statement in the respective publications. The DOIs of these publications are included. We also include a DOI (Zenodo) referencing the artificial intelligence models used.

本数据集涵盖马克斯·贝耶斯（Max Betjes）博士学位论文所依托的实验数据与人工智能模型，该研究由Sander J. Tans教授与Jeroen van Zon教授共同指导。本研究借助肠道类器官单细胞追踪技术，探究肠道稳态的空间动力学规律。研究团队开发了全新的细胞追踪算法（第3章），探究了肠道谱系层级结构（第4章），分析了肠道簇细胞（Tuft cell）的亚型特征（第5章），最终针对隐窝内分泌细胞的模式形成机制展开了深入研究（第6章）。本存储库包含第6章对应图表的相关实验数据。第3、4、5章的实验数据可参照各对应发表论文中的数据可用性声明获取，相关论文的数字对象标识符（Digital Object Identifier，DOI）已随本数据集一并提供。此外，本数据集还附带了所用人工智能模型对应的数字对象标识符，该标识符关联至Zenodo平台存储的相关模型。