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<p>Uterine endometrial dynamics are crucial for reproductive success and are dominantly influenced by the hormonal fluctuations of estrogen (E2) and progesterone (P4). In order to depict the landscape of molecular changes in the endometrium that undergoes cyclic dynamic changes, we developed the Uterine Dynamic Expression Database (UDEDB), a comprehensive resource combining published literature, single-cell sequencing data from the Human Endometrial Cell Atlas (HECA), and our experimental bulk RNA sequencing data from both humans and mice. Through literature mining of PubMed and EuropePMC, UDEDB provides detailed descriptions of the 2020 reported molecules, including PubMed IDs, species, molecular types, experimental verification methods and references to high-throughput sequencing data. To further elucidate the mechanisms driving these expression changes, we conducted literature mining and systematically curated 4349 transcriptional regulatory entries for both humans and mice across different uterine stages. Additionally, it offers the level of gene expression and dynamic expression trends across various phases of the human endometrial menstrual cycle, as well as different stages in pseudo-pregnant mouse epithelia. We believe UDEDB will serve as an effective tool for researchers investigating the molecular mechanisms underlying endometrial physiological changes primarily influenced by hormones, and will provide valuable insights, particularly for studying implantation. The database is publicly accessible at <a href="https://www.udedb.com">https://www.udedb.com</a>.</p> Graphical Abstract <p></p>

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UDEDB: A Comprehensive Database for Dynamic Molecular Expression Changes in Uterine Endometrium

  • 期刊论文

  • 发表日期：

    2026年3月25日

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  • Yu Ni,
  • Xiaojing Liu,
  • Yang Liu,
  • Hualan Zhou,
  • Enhao Zhang,
  • Fanjing Meng,
  • Faminzi Li,
  • Xinyi Li,
  • Yedong Tang,
  • He Zhu,
  • Yun Gao,
  • Haili Bao,
  • Wenbo Deng,
  • Haixiang Sun,
  • Haibin Wang,
  • Guijun Yan,
  • Shuangbo Kong

摘要

Uterine endometrial dynamics are crucial for reproductive success and are dominantly influenced by the hormonal fluctuations of estrogen (E2) and progesterone (P4). In order to depict the landscape of molecular changes in the endometrium that undergoes cyclic dynamic changes, we developed the Uterine Dynamic Expression Database (UDEDB), a comprehensive resource combining published literature, single-cell sequencing data from the Human Endometrial Cell Atlas (HECA), and our experimental bulk RNA sequencing data from both humans and mice. Through literature mining of PubMed and EuropePMC, UDEDB provides detailed descriptions of the 2020 reported molecules, including PubMed IDs, species, molecular types, experimental verification methods and references to high-throughput sequencing data. To further elucidate the mechanisms driving these expression changes, we conducted literature mining and systematically curated 4349 transcriptional regulatory entries for both humans and mice across different uterine stages. Additionally, it offers the level of gene expression and dynamic expression trends across various phases of the human endometrial menstrual cycle, as well as different stages in pseudo-pregnant mouse epithelia. We believe UDEDB will serve as an effective tool for researchers investigating the molecular mechanisms underlying endometrial physiological changes primarily influenced by hormones, and will provide valuable insights, particularly for studying implantation. The database is publicly accessible at https://www.udedb.com.

Graphical Abstract