Images from: Spatial transcriptomics reveals segregation of tumor cell states in glioblastoma and marked immunosuppression within the perinecrotic niche

Glioblastoma (GBM) remains an untreatable malignant tumor with poor patient outcomes, characterized by palisading necrosis and microvascular proliferation. While single-cell technology made it possible to characterize different lineage of glioma cells into neural progenitor-like (NPC-like), oligodendrocyte-progenitor-like (OPC-like), astrocyte-like (AC-like) and mesenchymal like (MES-like) states, it does not capture the spatial localization of these tumor cell states. Spatial transcriptomics empowers the study of the spatial organization of different cell types and tumor cell states and allows for the selection of regions of interest to investigate region-specific and cell-type-specific pathways. We obtained paired 10x Chromium single-nuclei RNA-sequencing (snRNA-seq) and 10x Visium spatial transcriptomics data from three GBM patients to interrogate the GBM microenvironment. Here, we have deposited the high resolution hematoxylin- and eosin-stained (H&E) images associated with the spatial transcriptomic data. The spatial transcriptomic data is restricted and must be housed elsewhere.

胶质母细胞瘤（Glioblastoma, GBM）仍是一种无法治愈的恶性肿瘤，患者预后极差，其病理特征为栅栏状坏死与微血管增生。尽管单细胞技术已可将胶质瘤细胞的不同细胞谱系划分为神经祖细胞样（Neural Progenitor-like, NPC-like）、少突胶质祖细胞样（Oligodendrocyte Progenitor-like, OPC-like）、星形胶质细胞样（Astrocyte-like, AC-like）以及间充质样（Mesenchymal-like, MES-like）多种细胞状态，但该技术无法捕获这些肿瘤细胞状态的空间定位信息。空间转录组学（Spatial transcriptomics）则可助力解析不同细胞类型与肿瘤细胞状态的空间组织结构，并允许研究者选取感兴趣区域，以探究区域特异性及细胞类型特异性的信号通路。本研究从3名胶质母细胞瘤患者中获取了配对的10x Chromium单核RNA测序（single-nuclei RNA-sequencing, snRNA-seq）数据与10x Visium空间转录组学数据，以解析胶质母细胞瘤的微环境。本研究已将与该空间转录组学数据配套的高分辨率苏木精-伊红染色（Hematoxylin and Eosin-stained, H&E）图像进行了存档上传。本研究涉及的空间转录组学数据存在访问限制，需存储于其他指定平台。