A multi-omic single-cell landscape of the aging mouse ovary

Abstract

The ovary is one of the first organs in humans to exhibit age-related functional impairments. As an organ composed of diverse heterogeneous cell types, the ovary exhibits cell-type-specific changes during the aging process, ultimately leading to a decline in female fertility. Investigating the molecular mechanisms of ovarian aging is crucial for understanding age-related fertility dysfunction in females. In this study, we combine scRNA-seq and scATAC-seq from mouse young/aged ovaries to characterize molecular features during ovarian aging. Using the single-cell multi-omic data, we revealed the cell-type-specific transcriptional changes during the aging process in seven major ovarian cell types and identified the cis/trans-regulatory elements governing these transcriptional changes. Specifically, we uncovered the transcriptional alterations of TGF-beta signaling in mesenchymal cells and endoplasmic reticulum stress in granulosa cells of aged mouse ovaries and further identified the potential corresponding cis/trans-regulatory elements. These molecular alterations may contribute to aging-induced functional impairments in mouse ovaries. In summary, this work provides transcriptome and chromatin accessibility landscape of ovarian aging in mice, which serve as a resource for identifying the cell-type-specific molecular mechanisms underlying ovarian aging, aiding in the identification of potential diagnostic biomarkers and treatment strategies.