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Spatial transcriptomic characteristics of the aging human ovary

GSE267315 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2025/11/13 Platform GPL24676
Summary
Ovarian aging is a complex process that compromises fertility and elevates the risk of reproductive disorders. To elucidate its spatiotemporal dynamics, we integrated single-nucleus RNA sequencing and spatial transcriptomics to construct a comprehensive aging atlas of 12 human ovarian tissues spanning ages 12-54. Our analysis revealed aging-associated transcriptomic shifts, including impaired mitochondrial oxidative phosphorylation and reproductive structure development in aged human ovaries. We identified a novel endothelial cell (EDC) subtype, CLDN5⁺ blood EDCs, which exhibited unique functional specialization as (semi-professional) antigen-presenting cells. In contrast to other cell types that lost cell identity during aging, CLDN5⁺ blood EDCs displayed transcriptomic sensitivity to aging, characterized by enhanced antigen-presenting capabilities, and heightened inflammatory activity. Spatial mapping further uncovered immunoglobulin-expressing cell (IGHG1+/IGKC+) accumulation in the ovarian periphery, correlating with advancing age. Critically, aging disrupted global cellular connectivity while amplifying the DLK1:NOTCH3 axis between theca cells and CLDN5⁺ blood EDCs, which may contribute to the dysregulation of ovarian functions. The progressively upregulation of DLK1 indicates it as a robust biomarker of ovarian aging. This study significantly enhances our comprehension of the underlying mechanisms of human ovarian aging and concurrently pinpoints potential therapeutic avenues for addressing related disorders.
Published in
Spatial Transcriptomic Characteristics of the Aging Human Ovary
Zhang M, Guo F, Zhang Q et al. · Aging cell 2026 · PMID 41243550 · doi:10.1111/acel.70288
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Also filed as BioProject PRJNA1111049. Searching any of these in the dataset finder brings you back here.

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