Cell ReportsCancer BiologyPeer-reviewed journal article
Single-nucleus and spatial landscape of the sub-ventricular zone in human glioblastoma
Yamhilette Licón-MuñoziD, Vanessa Avalos, Suganya SubramanianiD, Bryan GrangeriD, Frank J. MartineziD, Leopoldo A. García‐MontañoiD, Samantha VarelaiD, Drew MooreiD, Eddie Perkins, Michael Kogan, Stefano BertoiD, Muhammad Omar ChohaniD, Christian Andrew BowersiD, Sara G. M. PiccirilloiD
Abstract
The sub-ventricular zone (SVZ) is the most well-characterized neurogenic area in the mammalian brain. We previously showed that in 65% of patients with glioblastoma (GBM), the SVZ is a reservoir of cancer stem-like cells that contribute to treatment resistance and emergence of recurrence. Here, we built a single-nucleus RNA-sequencing-based microenvironment landscape of the tumor mass (T_Mass) and the SVZ (T_SVZ) of 15 GBM patients and 2 histologically normal SVZ (N_SVZ) samples as controls. We identified a mesenchymal signature in the T_SVZ of GBM patients: tumor cells from the T_SVZ relied on the ZEB1 regulatory network, whereas tumor cells in the T_Mass relied on the TEAD1 regulatory network. Moreover, the T_SVZ microenvironment was predominantly characterized by tumor-supportive microglia, which spatially co-exist and establish heterotypic interactions with tumor cells. Lastly, differential gene expression analyses, predictions of ligand-receptor and incoming/outgoing interactions, and functional assays revealed that the IL-1{beta}/IL-1RAcP and Wnt-5a/Frizzled-3 pathways are therapeutic targets in the T_SVZ microenvironment. Our data provide insights into the biology of the SVZ in GBM patients and identify specific targets of this microenvironment.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
- Citations
- 9
- FWCI
- 2.87
- Field percentile
- top 9%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-nucleus RNA sequencing provides insights into the GL261-GSC syngeneic mouse model of glioblastoma
Laura García-Vicente, Michael Borja, … Arantxa Tabernero·bioRxiv·Oct 26, 2023
- Immune cell regulation in stem cell niche contacting glioblastomas.
T. Bartkowiak, S. M. Lima, … J. M. Irish·bioRxiv·Feb 16, 2022
- Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions
Saad M. Khan, Anthony Z. Wang, … Allegra A. Petti·bioRxiv·Apr 4, 2025
- Probing glioblastoma and its microenvironment using single-nucleus and single-cell sequencing
Sen Peng, Sanhita Rath, … Harshil Dhruv·IEEE International Conference on Bioinformatics and Biomedicine (BIBM)Peer-reviewed·Nov 1, 2019
- Local Tumor Microenvironment Niches Correlate with Survival and Immunotherapy Response in Human Glioblastoma
Florent Petitprez, Nicola Graham, … Jeffrey W. Pollard·bioRxiv·Sep 17, 2026
- Genetic characterization of stem cell-like cancer cell in the peri-tumoral regions and proliferative lymphocyte in the peripheral blood of patients with glioblastoma