GEO series
Single-cell sequencing reveal transcriptional cell lineage heterogeneity in extracranial arteriovenous malformation
GSE242274
Homo sapiens
Expression profiling by high throughput sequencing
11 samples
2026/01/07
GPL24676
Summary
Extracranial arteriovenous malformations (eAVMs) are rare congenital vascular anomalies consisting of abnormal artery-vein bypass with no intervening capillary network and can lead to disability and death. In this study, an integration of two cutting-edge technologies, single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST), was applied to uncover the underlying pathophysiology of eAVMs. Patient-matched eAVM tissue samples and normal tissue control data were analyzed. We identified different cell states of endothelial cells (ECs), perivascular cells and immune cells in eAVMs and characterized their spatial distributions with multiple immunofluorescence staining (mIF), immunostaining and spatial transcriptomics. Dysregulated cell-to-cell interactions among ECs, perivascular cells and immune cells that are associated with disease progression were cataloged. By performing scRNA-seq on 117,360 individual cells, we identified 14 transcriptomically defined cell lineages from eAVMs. We uncovered the presence of MAFB+ nidus ECs. Moreover, mesenchymal activation was observed in ECs, characterized by high expression of POSTN or FN1 and the upregulation of the NOTCH and TGF-β pathways. mIF and ST verified the location of MAFB+ nidus ECs and mesenchymal activation of eAVM ECs. We identified transcriptional variation within perivascular cells and the presence of smooth muscle–like pericytes in eAVMs. Ligand‒receptor-based cell‒cell interaction analysis indicated that Nd ECs might specifically communicate with perivascular cells through the MDK, VEGF, SEMA3 and ANGPT pathways, and this cellular crosstalk was supported by colocalization analysis of spatial transcriptomics. In addition, we found that hypoxia plays an important role in the development of eAVMs, and hyperbaric oxygen therapy (HBOT) was used to treat one large pelvic eAVM. Thus, correcting the hypoxic microenvironment could be a promising therapeutic strategy.
Download
NCBI GEO page ↗
Paper (PMID 40118698) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE341139 A conserved HAND2-BMP5-SMAD1/5/9 axis drives hepatic stellate cell activation and extracellular matrix overproduction in multiple fibrotic etiologies 10 samples
- GSE274275 Effect of depletion of NSUN4 on gene expression of NCI-H226 cells [RNA-seq] 6 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.