单细胞空间谱识别胶质母细胞瘤中区域特异性细胞外基质粘附和信号网络。

Arpan De, Santiago A Forero, Ali Pirani, John E Morales, Marisol De La Fuente-Granada, Sumod Sebastian, Jason T Huse, Leomar Y Ballester, Jeffrrey S Weinberg, Frederick F Lang, Kadir C Akdemir, Joseph H McCarty
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引用次数: 0

摘要

人类大脑中含有丰富的细胞外基质(ECM)成分,这些成分在包括恶性肿瘤胶质母细胞瘤(GBM)在内的病理中经常失调。在这里,我们使用原位单细胞空间转录组学平台绘制了正常脑和GBM样本中近400个ECM基因的表达模式。我们的分析确定了至少四种不同的GBM细胞群,它们具有独特的ECM表达谱,在不同的肿瘤内区域显示空间富集。空间图谱也显示了各种ECM成分在GBM基质细胞类型中的大部分不重叠表达特征,特别是在血管内皮细胞和反应性小胶质细胞/巨噬细胞中。比较GBM (IDH1野生型)与较低级别II和III型星形细胞瘤样本(IDH1 R132H)发现关键ECM成分的差异表达,包括选择ECM糖蛋白(IGFBP2和MGP)和ECM相关蛋白(ANXA1和ANXA2)的水平升高。此外,我们检测到COL8A1(胶原)、LUM(蛋白多糖)和POSTN (ECM糖蛋白)在GBM血管周围基质细胞中的空间表达丰富,而在低级别肿瘤中则没有。对假设的配体-受体相互作用的计算分析揭示了癌细胞和基质成分之间新的ECM通信网络,特别是在GBM微血管增殖和假性乳样坏死区域。总之,这一全面的空间图谱为GBM发生和发展的微环境控制提供了新的见解,并确定了ECM中潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single Cell Spatial Profiling Identifies Region-Specific Extracellular Matrix Adhesion and Signaling Networks in Glioblastoma.

The human brain contains a rich milieu of extracellular matrix (ECM) components that are often dysregulated in pathologies including the malignant cancer glioblastoma (GBM). Here, we have used in situ single-cell spatial transcriptomic platforms to map the expression patterns of nearly 400 ECM genes in normal brain and GBM samples. Our analysis identifies at least four different GBM cell populations with unique ECM expression profiles that show spatial enrichment in distinct intratumor regions. Spatial mapping also demonstrates largely non-overlapping expression signatures of various ECM components in GBM stromal cell types, particularly in vascular endothelial cells and reactive microglia/macrophages. Comparisons of GBM (IDH1 wild type) versus lower-grade II and III astrocytoma samples (IDH1 R132H) identifies differential expression of key ECM components, including elevated levels of select ECM glycoproteins (IGFBP2 and MGP) and ECM-affiliated proteins (ANXA1 and ANXA2). In addition, we detect spatially enriched expression of COL8A1 (collagen), LUM (proteoglycan), and POSTN (ECM glycoprotein) in perivascular stromal cells in GBM but not in lower grade tumors. Computational analysis of putative ligand-receptor interactions reveals novel ECM communication networks between cancer cells and stromal components, particularly in regions of GBM microvascular proliferation and pseudopalisading necrosis. In summary, this comprehensive spatial map provides new insights into microenvironmental control of GBM initiation and progression and identifies potential therapeutic targets in the ECM.

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