Description

Intracerebral hemorrhage (ICH) is a prevalent disease with high mortality. Despite advances in clinical care, the prognosis of ICH remains poor due to an incomplete understanding of the complex pathological processes. To address this challenge, we generated single-cell-resolution spatiotemporal transcriptomic maps of the mouse brain following ICH. This dataset is the most extensive resource available, providing detailed information about the temporal expression of genes along with a high-resolution cellular profile and preserved cellular organization. We identified 100 distinct cell subclasses, 17 of which were found to play significant roles in the pathophysiology of ICH. We also report similarities and differences between two experimental ICH models and human postmortem ICH brain tissue. This study advances the understanding of the local and global responses of brain cells to ICH. It provides a valuable resource that can facilitate future research and aid the development of novel therapies for this devastating condition.