GEO series
Sexually Dimorphic Transdifferentiation of Endothelial Cells in Atherosclerosis
GSE337648
Homo sapiens
Expression profiling by high throughput sequencing
8 samples
2026/07/30
GPL24676
Summary
Aims: Sex differences in atherosclerosis are well recognized clinically, yet the underlying mechanisms remain incompletely understood. Given the pivotal role of endothelial cell (EC) dysfunction in atherogenesis, this study aimed to delineate and compare EC fate trajectories and uncover transcriptional networks driving atherosclerosis progression in males and females. Methods and results: EC-specific lineage-tracing mice (Apoe−/−/Cdh5-CreERT2/Rosa26-mTmG) of both sexes were generated. Following tamoxifen-induced Cre recombination, mice were fed a high-fat diet (HFD) to induce hypercholesterolemia and atherosclerosis. Single-nucleus RNA sequencing (snRNA-seq) of plaque-bearing aortae identified and validated nine distinct EC subpopulations. Differential abundance analysis using miloR revealed that female aortae were enriched for capillary and lymphatic ECs expressing Sox17, Myh11, Mki67, or Ly6a, whereas male aortae were enriched for ECs expressing Col8a1 and Fmo2. Fate inference by GeneTrajectory and single-cell lineage tracing demonstrated that approximately a quarter of GFP⁺ ECs transdifferentiated into adipocyte-like cells, smooth muscle cell (SMC)-like cells, and fibroblast-like cells. Female ECs exhibited a greater propensity for EC-to-SMC-like conversion, whereas male ECs showed a stronger inclination toward EC-to-adipocyte-like transition. Regulatory network analysis using pySCENIC identified Klf2 and Creb5 as key transcription factors governing EC fate decisions in atherosclerosis. Conclusions: Endothelial cells exhibit sex-specific transdifferentiation trajectories during atherosclerosis progression, contributing to distinct vascular phenotypes in male and female plaques and revealing potential targets for precision therapeutics.
Download
NCBI GEO page ↗
{# 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
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE199939 Comprehensive transcriptomic analysis of immune-related genes in diabetic foot ulcers: New insights into mechanisms and therapeutic targets 21 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.