年龄AnnoMO:一个多omics注释的知识库,用于动物的衰老
Kexin Huang1,2,3, Xi Liu4, Zhaocan Zhang4
1The Center of Gerontology and Geriatrics and West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, PR China.
Nucleic acids research
|October 18, 2023
概括
衰老涉及功能衰退,在物种中保留了标志性特征. AgeAnnoMO知识库整合了多个学科的数据,以了解这些衰老机制,并开发针对性的抗衰老干预措施.
科学领域:
- 老年学和生物信息学
- 多主题数据集成用于衰老研究.
背景情况:
- 衰老是一个复杂的过程,其特点是功能衰退.
- 保存的衰老标志存在于多种物种的分子,细胞和系统层面.
- 了解这些特征对于将抗衰老药物开发从模型生物转化为人类至关重要.
研究的目的:
- 开发AgeAnnoMO,一个全面的多omics注释知识库,用于动物衰老.
- 描述衰老调节剂及其在不同物种和组织之间的关系.
- 为有效的抗衰老干预提供对物种和组织特定衰老过程的洞察力.
主要方法:
- 从50个物种的8596个样本中编制了136个多omics数据集.
- 标注与衰老相关的基因,蛋白质,代谢物,线粒体基因,微生物群和免疫序列 (TCR和BCR).
- 综合了来自八种不同OMIC模式的数据.
主要成果:
- AgeAnnoMO是一个全面的老龄化和长寿研究资源.
- 知识库注释了多种物种的衰老调节者和标志.
- 确定了各种组织和物种的保存和特定的衰老模式.
结论:
- 年龄AnnoMO促进了对保存的衰老机制的更深入的理解.
- 提供了对特定物种和特定组织的衰老过程的见解.
- 提供了一种有价值的资源,用于识别可针对的生物标志物,用于衰老研究和开发抗衰老干预措施.
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