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GametesOmics:一个全面的多omics数据库,用于探索人类和小鼠的游戏生成
Jianting An1,2,3,4,5, Jing Wang1,2,3,4, Siming Kong1,2,3,4,5
1State Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, China.
Genomics, proteomics & bioinformatics
|June 11, 2024
概括
GametesOmics集成了基因表达,DNA甲基化和染色质可访问性数据,用于 oogenesis 和精子生成. 这种全面的数据库有助于研究人员了解胚胎细胞发育和生殖生物学.
科学领域:
- 生殖生物学和基因组学
- 发展生物学 发展生物学
- 生物信息学是一种生物信息学.
背景情况:
- 双子生殖对于物种繁殖和进化至关重要,转录和表观遗传变化会影响生育和发育.
- 单细胞多组学研究提供了有价值的数据,但缺乏标准化和整合阻碍了对生殖细胞发育机制的探索.
- 现有的资源不能全面整合基因表达,DNA甲基化和染色质可访问性数据,无论是 oogenesis 和精子生成.
研究的目的:
- 开发GametesOmics,一个统一的数据库,集成多omics数据 (基因表达,DNA甲基化,染色质可访问性) 用于人类和小鼠的游戏生成.
- 为查询,分析和可视化基因表达和胚胎细胞发育过程中的表观遗传修饰提供用户友好的工具.
- 为了促进人类和小鼠之间的游戏生成的比较分析.
主要方法:
- 从单细胞研究中整合了转录基因组,表观基因组 (DNA甲基化) 和染色质可访问性数据.
- 开发一个全面的数据库 (GametesOmics) 与一个用户友好的网页界面.
- 实施生物信息学工具用于数据查询,差异基因表达分析,相关性分析,可视化和比较基因组学.
主要成果:
- GametesOmics为人类和小鼠的 oogenesis 和精子生成提供了集成的多omics 数据.
- 包括用于基因表达和表观遗传修饰查询的工具,DEG分析,相关性分析和单细胞集群的可视化.
- 功能 基因组浏览器和Ortholog工具用于基因表达和表观遗传景观的跨物种比较.
结论:
- GametesOmics 作为一个有价值的,集成的资源,用于研究胚胎细胞发育的分子机制.
- 数据库及其工具使生物学家和临床医生能够解读细胞命运转变在游戏生成中的转变.
- 通过比较多学科分析,促进对生殖生物学和潜在的临床应用有更深入的了解.
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