卵母细胞
生物
动力学(音乐)
卵巢
卵子发生
细胞生物学
排卵
限制
男科
卵巢储备
生育率
瓶颈
卵泡
内科学
内分泌学
分布(数学)
作者
Arturo D’Angelo,Daniel Franco-Barranco,Marco Musy,Juan M. Durán,James Sharpe,Nicholas Stroustrup,Ignacio Arganda‐Carreras,Elvan Böke
出处
期刊:Nature Aging
[Nature Portfolio]
日期:2026-08-12
卷期号:6 (8): 1580-1591
标识
DOI:10.1038/s43587-026-01178-z
摘要
Female fertility depends on a finite pool of oocytes that depletes during aging1,2, yet the spatiotemporal dynamics of this depletion remain poorly understood. Traditional methods obscure the three-dimensional architecture of the ovary, limiting quantitative insights. Here we combine light-sheet microscopy, artificial intelligence-driven segmentation and mathematical modeling to map over 85,000 oocytes in whole ovaries across the reproductive lifespan in mouse. We find that newly activated oocytes represent a fixed fraction of the total oocyte pool despite an age-related decline in oocyte numbers. Spatial analysis revealed that oocytes are enriched along the lateral ovarian axis, and local oocyte density positively correlates with activation. We also uncover a bimodal distribution of oocyte sizes, suggesting a bottleneck during oogenesis. Finally, a differential equation-based model captures the kinetics of oocyte activation and loss. Our findings establish a quantitative framework for understanding ovarian aging and suggest that an organ-scale regulatory mechanism coordinates the age-related decline in oocyte numbers. The spatiotemporal dynamics of the depletion of the ovarian reserve remain incompletely understood. Combining whole-ovary imaging, AI and modeling, the authors mapped over 85,000 mouse oocytes and found that ovaries maintain a stable fraction of newly activated oocytes throughout aging, suggesting organ-wide control of oocyte activation.
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