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Single-Cell Transcriptomic Atlas of Primate Ovarian Aging.
- Source :
-
Cell [Cell] 2020 Feb 06; Vol. 180 (3), pp. 585-600.e19. Date of Electronic Publication: 2020 Jan 30. - Publication Year :
- 2020
-
Abstract
- Molecular mechanisms of ovarian aging and female age-related fertility decline remain unclear. We surveyed the single-cell transcriptomic landscape of ovaries from young and aged non-human primates (NHPs) and identified seven ovarian cell types with distinct gene-expression signatures, including oocyte and six types of ovarian somatic cells. In-depth dissection of gene-expression dynamics of oocytes revealed four subtypes at sequential and stepwise developmental stages. Further analysis of cell-type-specific aging-associated transcriptional changes uncovered the disturbance of antioxidant signaling specific to early-stage oocytes and granulosa cells, indicative of oxidative damage as a crucial factor in ovarian functional decline with age. Additionally, inactivated antioxidative pathways, increased reactive oxygen species, and apoptosis were observed in granulosa cells from aged women. This study provides a comprehensive understanding of the cell-type-specific mechanisms underlying primate ovarian aging at single-cell resolution, revealing new diagnostic biomarkers and potential therapeutic targets for age-related human ovarian disorders.<br />Competing Interests: Declaration of Interests The authors declare no competing interests.<br /> (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Subjects :
- Aged
Animals
Antioxidants metabolism
Apoptosis physiology
Atlases as Topic
Biomarkers
Cell Line, Tumor
Female
Granulosa Cells metabolism
Humans
Macaca fascicularis
Oocytes metabolism
Reactive Oxygen Species metabolism
Signal Transduction physiology
Aging genetics
Ovary physiology
Single-Cell Analysis methods
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 1097-4172
- Volume :
- 180
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Cell
- Publication Type :
- Academic Journal
- Accession number :
- 32004457
- Full Text :
- https://doi.org/10.1016/j.cell.2020.01.009