The post-natal development and maturation of the mammalian heart involve highly intricate processes that remain incompletely understood, particularly concerning the molecular signature and roles of the diverse cell types involved. In this study, we present a comprehensive dataset generated from murine hearts at three key post-natal developmental stages using Spatio-Temporal Enhanced Resolution Omics-Sequencing (Stereo-seq), an advanced spatially resolved transcriptomic technology. This dataset encompasses spatial transcriptomes of approximately 0.186 million individual cells within intact sections of murine hearts at post-natal developmental stages. Our dataset serves as a valuable resource for investigating the mechanisms underlying mammalian heart development and maturation. Through initial analyses, we identified distinct cell types and their spatial distributions, including 93,826 cardiomyocytes within a single heart section. This extensive dataset provides researchers with opportunities for data mining and facilitates diverse analyses, including studies on transcriptional regulation, cell-to-cell communication, and the functional activities of genes and signalling molecules during critical phases of heart development.
Zheng et al. (Tue,) studied this question.