← BioTransfer GEO Dataset Finder
GEO series

CEBPB drives endothelial pathological phenotype and promotes atherosclerosis by directly upregulating TGFBR1 expression [RNA-seq]

GSE278347 Homo sapiens Expression profiling by high throughput sequencing 6 samples Submitted 2025/12/10 Platform GPL24676
Summary
Endothelial cell (EC) dysfunction is crucial in chronic vascular inflammation and diseases like atherosclerosis. An unknown endothelial pathological phenotype potentially driving atherosclerosis was hinted in our previous study. However, the detailed characterizations and underlying molecular mechanisms remain unclear. In the present study, using single-cell RNA sequencing, the new endothelial pathological phenotype was defined by high expression of fibroblast markers, extracellular matrix, and inflammatory genes, concurrently with a rapid decline in endothelial markers. By performing RNA-seq, we found that increased CEBPB contributes to the fibroblast and inflammatory feature of these atherogenic ECs. Further analysis revealed that IL-1β-induced high expression of CEBPB triggers TGF-β signaling and subsequent regulation of downstream genes. This occurs through direct interaction of CEBPB with the promotor region of TGF-β receptor type I (TGFBR1), resulting in its upregulation. Furthermore, exacerbating atherosclerotic plaque area, enhanced vascular inflammation and increased endothelial TGFBR1 expression were confirmed by endothelial overexpression of CEBPB in vivo. These findings suggest endothelial CEBPB functions as a novel regulator of TGFBR1, driving endothelial pathological phenotype, promoting vascular inflammation and atherosclerosis.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE278347_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1166692 and SRA study SRP535498. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

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.