ArticleCommunications biology2025
Single cell spatial profiling of the matrisome identifies region-specific adhesion and signaling networks in glioblastoma.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Review
- Understanding and targeting the tumour matrisome.Nature reviews. Clinical oncology · 2026Review
- The Invasive Margin of Glioblastoma as a Molecular Ecosystem: Spatial Heterogeneity, Tumor-Host Interactions, and Therapeutic Opportunities.International journal of molecular sciences · 2026Review
- Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.Molecular brain · 2026Review
- MatriSpace: Identification and visualization of spatially resolved ECM gene expression patterns in health and disease.bioRxiv : the preprint server for biology · 2026Article
- Defining neurovascular ecosystem states with single-cell multi-omics and machine learning: insights into cerebrovascular remodeling in the tumor context.Frontiers in cell and developmental biology · 2026Article
- Drug resistant glioblastoma stem cells exhibit enriched stemness signatures and share extracellular matrix overexpression.BMC cancer · 2025Article
Corrections and comments
- Update of
Authors and funding
12 authors.
Funding
Abstract
The human brain contains a milieu of extracellular matrix (ECM) components that promote normal development and physiology. ECM signaling pathways are often dysregulated in brain pathologies including the malignant cancer glioblastoma (GBM). Here, we used single-cell spatial transcriptomic platforms to map the expression of nearly 400 ECM genes in matching non-cancerous brain and GBM samples. At least four different GBM cell populations have been identified that show unique ECM expression profiles and spatial enrichment in distinct intratumor regions. Spatial mapping demonstrates largely non-overlapping expression signatures of ECM components in GBM stromal cell types, particularly in vascular endothelial cells and microglia/macrophages. Comparisons of GBM versus lower grade astrocytoma samples identifies differential expression of key ECM components. Computational analysis reveals novel ECM ligand-receptor networks between GBM and stromal cells. This spatial atlas provides new insights into ECM control of brain tumor initiation and progression and identifies potential targets for therapy in GBM.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.