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 mouse brain after ICH. Collectively this data set is the most extended resource available that does not only provide a detailed temporal profile, but also provides a high resolution cellular profile with preserved cellular organization. We identified 100 distinct cellular subclasses, 17 of which were found to play significant roles in the pathophysiology of ICH. We also compared the similarities and differences between the autologous blood model, the collagenase model, and human ICH samples. This study advances the understanding of the local and global responses of brain cells to ICH, and provides a valuable resource that can facilitate future research and aid the development of novel therapies for this devastating condition.
