{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE305nnn/GSE305898/"]},"type":"primary"},"statusCode":"OK","statusCodeValue":200}],"scores":null,"additional":{"omics_type":["Transcriptomics"],"species":["Homo sapiens"],"gds_type":["Expression profiling by high throughput sequencing"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE305898"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Uncovering the transcriptional hallmarks of endothelial cell aging via integrated single-cell analysis [RNA-Seq 2]","description":"Endothelial cells (ECs) are critical regulators of vascular function and exhibit specialized, organ-specific roles across tissues. During aging, these cells become dysfunctional, resulting in increased susceptibility to cardiovascular disease and its associated mortality. While single-cell transcriptomics studies have revealed extensive endothelial heterogeneity across tissues and conditions, a comprehensive atlas of human EC transcriptomes over the course of the adult human lifespan is still lacking. Here, we present the Human Aging Endothelial Cell Atlas (HAECA), a harmonized single-cell transcriptomic compendium of over 375,000 ECs from 12 human tissues throughout adulthood. Using HAECA, we identified age-associated transcriptional shifts, including a decline in angiogenic gene expression in venous ECs and widespread alterations in extracellular matrix (ECM)- and mechanotransduction-associated pathways. We validated these findings in aging human skin and further uncovered a p21-linked transcriptional program in ECs, confirmed in both in vitro and in vivo models and linked to cellular senescence. Together, our study provides a high-resolution transcriptome reference across spatial as well as temporal axes of the human endothelium.","dates":{"publication":"2026/08/18"},"accession":"GSE305898","cross_references":{"GSM":["GSM9187176","GSM9187177","GSM9187178","GSM9187179","GSM9187170","GSM9187171","GSM9187172","GSM9187173","GSM9187174","GSM9187175","GSM9187165","GSM9187166","GSM9187167","GSM9187168","GSM9187169","GSM9187180","GSM9187181","GSM9187182","GSM9187183","GSM9187184","GSM9187162","GSM9187163","GSM9187185","GSM9187186","GSM9187164"],"GPL":["24676"],"GSE":["305898"],"taxon":["Homo sapiens"]}}