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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.

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Provenance

Source
OpenAlex
DOI
10.1093/hmg/ddab163
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2026-07-25 MST

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APA
Zhou, Z., Yang, X., Pan, Y., Shang, L., Chen, S., Yang, J., Li, J., Zhang, F., &amp; 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}, }

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