Adult zebrafish robustly regenerate injured hearts through a complex orchestration of cells and molecules. However, the comprehensive process remains incompletely understood. Here, we utilized single-cell RNA-sequencing (scRNA-seq) and Stereo-seq approaches to generate a spatially-resolved cell dataset of regenerating zebrafish heart. We captured organ-scale cellular dynamics across eight time points, with a particular focus on the initiative stages. We reconstructed a 4D "virtual regenerating heart" atlas, encompassing 3 spatial dimensions and time, comprising a total of 569,896 cells/spots derived from 36 scRNA-seq libraries and 224 Stereo-seq slices.
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Search for the annotation, gene expression.
Visualize 3D reconstructed models.
Access available raw data and data analysis softwares.
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