Spatial multi-omics defines a shared glioblastoma infiltrative signature at the resection margin [10x Spatial]
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ABSTRACT:
PROVIDER: PRJNA1209096 | ENA |
REPOSITORIES: ENA
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Project description:Glioblastoma (GBM) remains an untreatable disease. Understanding of GBM’s infiltrative biology at the resection margin is limited, despite causing disease recurrence and progression. To address this, we generated a high-throughput single-nucleus (sn)RNA-seq and snATAC-seq multi-omic dataset from six tumors with distinct genomic drivers and combined it with spatial transcriptomics to characterize the unique molecular phenotype of GBM near the margin. By contrasting GBM-specific biology in matching “Core” vs. “Margin” dissections, we define unique, shared “GBM infiltration” and chromatin accessibility signatures near the margin. We prioritize EGFR as a top differentially expressed and accessible “Margin” marker across GBM subtypes, show its dynamic expression along a core-to-margin infiltration trajectory, and validate its role in migration through CRISPR/Cas9 deletion in two patient-derived models. ChIP-seq studies furthermore corroborate preferential TEAD1 binding at EGFR’s accessible regulatory elements. This validated multi-omic dataset enables further studies into tumor and microenvironment biology in the context of residual GBM disease.
2025-07-14 | GSE286413 | GEO
Project description:Glioblastoma (GBM) remains an untreatable disease. Understanding of GBM’s infiltrative biology at the resection margin is limited, despite causing disease recurrence and progression. To address this, we generated a high-throughput single-nucleus (sn)RNA-seq and snATAC-seq multi-omic dataset from six tumors with distinct genomic drivers and combined it with spatial transcriptomics to characterize the unique molecular phenotype of GBM near the margin. By contrasting GBM-specific biology in matching “Core” vs. “Margin” dissections, we define unique, shared “GBM infiltration” and chromatin accessibility signatures near the margin. We prioritize EGFR as a top differentially expressed and accessible “Margin” marker across GBM subtypes, show its dynamic expression along a core-to-margin infiltration trajectory, and validate its role in migration through CRISPR/Cas9 deletion in two patient-derived models. ChIP-seq studies furthermore corroborate preferential TEAD1 binding at EGFR’s accessible regulatory elements. This validated multi-omic dataset enables further studies into tumor and microenvironment biology in the context of residual GBM disease.
2025-07-14 | GSE286419 | GEO
Project description:Glioblastoma (GBM) remains an untreatable disease. Understanding of GBM’s infiltrative biology at the resection margin is limited, despite causing disease recurrence and progression. To address this, we generated a high-throughput single-nucleus (sn)RNA-seq and snATAC-seq multi-omic dataset from six tumors with distinct genomic drivers and combined it with spatial transcriptomics to characterize the unique molecular phenotype of GBM near the margin. By contrasting GBM-specific biology in matching “Core” vs. “Margin” dissections, we define unique, shared “GBM infiltration” and chromatin accessibility signatures near the margin. We prioritize EGFR as a top differentially expressed and accessible “Margin” marker across GBM subtypes, show its dynamic expression along a core-to-margin infiltration trajectory, and validate its role in migration through CRISPR/Cas9 deletion in two patient-derived models. ChIP-seq studies furthermore corroborate preferential TEAD1 binding at EGFR’s accessible regulatory elements. This validated multi-omic dataset enables further studies into tumor and microenvironment biology in the context of residual GBM disease.
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Project description:Spatial multi-omics defines a shared glioblastoma infiltrative signature at the resection margin [RNA-seq]
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Project description:Spatial multi-omics defines a shared glioblastoma infiltrative signature at the resection margin [snATAC-seq]
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Project description:Glioblastoma recurrence originates from invasive cells that escape surgical resection, but their biology remains poorly understood. Here we generated three somatic mouse models recapitulating the main driver mutations of the human disease to characterise the infiltrative tumour margin. We find that, regardless of genetics, tumours are fuelled by highly proliferative glioma stem-like cells (GSCs) resembling active neural stem cells (NSCs), which recapitulate normal and injury-induced neurogenesis in both bulk and margin. Surprisingly, GSCs are evenly distributed across both regions, suggesting that invasive potential is uncoupled from stemness. However, tumour region influences fate choice, with margin cells progressing towards astrocyte-like, and bulk cells towards injured NSC-like (iNSCs) fates. iNSCs account for a significant proportion of dormant glioblastoma cells and are induced by interferon signalling within T-cell-rich niches that form selectively in the bulk. These findings identify key differences between bulk and margin and indicate that glioblastoma cell fate is under cell-extrinsic control.
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Project description:Glioblastoma cell fate is differentially regulated by the microenvironments of the tumour bulk and infiltrative margin.
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Project description:Little is known regarding the differences between BCC subtypes, despite clearly distinct phenotypes and clinical outcomes. In particular, what distinguishes the aggressive infiltrative BCC subtype. We determine that infiltrative BCC do not contain an obviously distinct genomic variant profile however show clear molecular signalling differences compared to less aggressive subtypes. RNA sequencing enabled identification of candidate regulators of infiltrative subtype development such as Wnt and Integrin signalling, and suggested that infiltrative BCC have a strong relationship with their surrounding environment. In particular, WISP1 and Periostin gene expression is associated with the infiltrating subtype and represent candidate regulators of subtype differences in human BCC.
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Project description:The DNA double-strand breaks that initiate homologous recombination during meiosis are subject to extensive 5ʹâ??3â?² exonucleolytic processing. This resection is a central and conserved feature of recombination, yet its mechanism is poorly understood. Using a purpose-made deep-sequencing method, namely S1Seq, we mapped meiotic resection endpoints genome-wide at high spatial resolution in Saccharomyces cerevisiae. Generating full-length resection tracts requires Exo1 exonuclease activity and the DNA-damage responsive kinase Tel1, but not the helicase Sgs1. Tel1 is also required for efficient and timely initiation of resection. We find that distributions of resection endpoints at individual genomic loci display pronounced heterogeneity that reflects a tendency for nucleosomes to block Exo1 in vivo, yet modeling experiments indicate that Exo1 digests chromatin with high apparent processivity and at rates approaching those for naked DNA in vitro. This paradox points to nucleosome destabilization or eviction as a determining feature of the meiotic resection landscape. 36 samples total: two biological replicate S1Seq maps of S.cerevisiae for each genetic background and time point in meiosis
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