Spatial transcriptomics has emerged as a pivotal technique in understanding the complex cellular architecture of gliomas, particularly in elucidating the tumor microenvironment and its interaction with surrounding neural tissues. One significant study utilized single-cell RNA sequencing to analyze 24,919 murine cerebellar cells, revealing intricate details about the cellular states of developing cerebellar granule neurons (GNs) and their relationship to medulloblastoma. This research highlighted both common and divergent features between normal cerebellar development and tumorigenesis, providing insights into the regulatory mechanisms governing granule neuron progenitors (GNPs) and their transformation into tumor cells (ref: Luo doi.org/10.1186/s12915-021-01071-8/). The findings underscore the importance of spatial organization in understanding glioma pathology, as the study demonstrated how the cellular and spatial arrangement of granule cells can inform on tumor behavior and potential therapeutic targets. Moreover, the integration of spatial transcriptomics with traditional histological methods has allowed researchers to map the distribution of various cell types within gliomas, revealing heterogeneity that is often overlooked in bulk RNA sequencing approaches. This heterogeneity is critical as it can influence treatment responses and disease progression. The ability to visualize and quantify the spatial relationships between tumor cells and the surrounding microenvironment opens new avenues for targeted therapies and personalized medicine in glioma treatment. Overall, the application of spatial transcriptomics in glioma research not only enhances our understanding of tumor biology but also paves the way for innovative diagnostic and therapeutic strategies.