Open access · OA
via OpenAlex
Temporal transcriptomic landscape of postnatal mouse ovaries reveals dynamic gene signatures associated with ovarian aging
Zixue Zhou, Xi Yang, Yuncheng Pan, Lingyue Shang, Siyuan Chen, Jialin Yang, Jin Li, Feng Zhang, Yanhua Wu
Human Molecular Genetics · 2021 · ▲ 17 citations
Abstract
The ovary is the most important organ for maintaining female reproductive health, but it fails before most other organs. Aging-associated alterations in gene expression patterns in mammalian ovaries remain largely unknown. In this study, the transcriptomic landscape of postnatal mouse ovaries over the reproductive lifespan was investigated using bulk RNA sequencing in C57BL/6 mice. Gene expression dynamics revealed that the lifespan of postnatal mouse ovaries comprised four sequential stages, during which 2517 genes were identified as differentially enriched. Notably, the DNA repair pathway was found to make a considerable and specific contribution to the process of ovarian aging. Temporal gene expression patterns were dissected to identify differences in gene expression trajectories over the lifespan. In addition to DNA repair, distinct biological functions (including hypoxia response, epigenetic modification, fertilization, mitochondrial function, etc.) were overrepresented in particular clusters. Association studies were further performed to explore the relationships between known genes responsible for ovarian function and differentially expressed genes identified in this work. We found that the causative genes of human premature ovarian insufficiency were specifically enriched in distinct gene clusters. Taken together, our findings reveal a comprehensive transcriptomic landscape of the mouse ovary over the lifespan, providing insights into the molecular mechanisms underlying mammalian ovarian aging and supporting future etiological studies of aging-associated ovarian disorders.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1093/hmg/ddab163
- Canonical
- link ↗
- Fetched
- 2026-07-25 MST
Cite this
APA
Zhou, Z., Yang, X., Pan, Y., Shang, L., Chen, S., Yang, J., Li, J., Zhang, F., & Wu, Y. (2021). Temporal transcriptomic landscape of postnatal mouse ovaries reveals dynamic gene signatures associated with ovarian aging. <em>Human Molecular Genetics</em>. https://doi.org/10.1093/hmg/ddab163
Vancouver
Zhou Z, Yang X, Pan Y, Shang L, Chen S, Yang J, et al. Temporal transcriptomic landscape of postnatal mouse ovaries reveals dynamic gene signatures associated with ovarian aging. Human Molecular Genetics. 2021. doi:10.1093/hmg/ddab163.
BibTeX
@article{zixue2021Tempor,
title = {Temporal transcriptomic landscape of postnatal mouse ovaries reveals dynamic gene signatures associated with ovarian aging},
author = {Zixue Zhou and Xi Yang and Yuncheng Pan and Lingyue Shang and Siyuan Chen and Jialin Yang and Jin Li and Feng Zhang and Yanhua Wu},
journal = {Human Molecular Genetics},
year = {2021},
doi = {10.1093/hmg/ddab163},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Frontiers in Genetics 2024
Open access · CC-BY
SIRT1, resveratrol and aging
Cell 2022
Open access · CC-BY
Molecular and spatial signatures of mouse brain aging at single-cell resolution
Nature Communications 2023
Open access · CC-BY
On the benefits of the tryptophan metabolite 3-hydroxyanthranilic acid in Caenorhabditis elegans and mouse aging
AGE 2011
Open access · OA
MiR-34 modulates Caenorhabditis elegans lifespan via repressing the autophagy gene atg9
Nature Neuroscience 2022
Open access · CC-BY
Dissection of artifactual and confounding glial signatures by single-cell sequencing of mouse and human brain
Cell 2025
Citation only