← BioTransfer GEO Dataset Finder
GEO series

Replicative and irradiation-induced senescence of endothelial cells

GSE294733 Homo sapiens Expression profiling by high throughput sequencing 9 samples Submitted 2025/06/18 Platform GPL18573
Summary
This research investigates cellular senescence in human umbilical vein endothelial cells (HUVECs), focusing on their implications for cardiovascular diseases. We employed RNA sequencing to analyze gene expression changes in HUVECs subjected to replicative- or stress-induced senescence via ionizing radiation. Our findings reveal that both senescence types exhibit significant upregulation of genes associated with epithelial-mesenchymal transition (EMT) and inflammatory pathways, indicating a shared molecular response. Experimental validation confirmed reduced proliferation and increased secretion of pro-inflammatory cytokines (IL-6 and IL-8) in senescent cells and substantiated the upregulation of EMT marker genes. Additionally, we observed impaired wound healing capacity in senescent cells, highlighting the functional consequences of these cellular state. Our study underscores the critical role of senescence-related changes, contributing to the understanding of age-related cardiovascular pathologies.
Published in
Short- and Long-Term Endothelial Inflammation Have Distinct Effects and Overlap with Signatures of Cellular Senescence
Belakova B, Basílio J, Campos-Medina M et al. · Cells 2025 · PMID 40497982 · doi:10.3390/cells14110806
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE294733_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1251521 and SRA study SRP578985. 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.

+ 9 more — browse all 9 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.