AgeAnnoMO: a knowledgebase of multi-omics annotation for animal aging.

AgeAnnoMO: a knowledgebase of multi-omics annotation for animal aging.
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AgeAnnoMO:动物衰老多组学注释知识库。

DOI:
10.1093/nar/gkad884
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发表时间:
2024-01-05
影响因子:
14.9
通讯作者:
--
中科院分区:
生物学2区
文献类型:
--
作者:

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衰老导致功能逐渐衰退,受相互关联因素的影响。多种特征被认为是多个物种在分子、细胞和系统水平上衰老的共同和保守的基本分母。因此,了解衰老标志的功能及其跨物种的关系可以促进抗衰老药物开发从模式生物到人类的转化。在这里,我们建立了AgeAnnoMO(https://relab.xidian.edu.cn/AgeAnnoMO/#/),一个动物衰老多组学注释的知识库。 AgeAnnoMO 广泛收集了来自 8 种模式的 136 个数据集,包含来自 50 个代表性物种的 8596 个样本,使其成为衰老和长寿研究的综合资源。 AgeAnnoMO 通过多组学数据描述了跨物种的多个衰老调节因子,全面注释了与衰老相关的基因、蛋白质、代谢物、线粒体基因、微生物群以及与这些物种和组织的衰老标志相关的年龄特异性 TCR 和 BCR 序列。 AgeAnnoMO不仅有助于对衰老机制有更深入、更普遍的理解,而且还提供了对衰老过程中跨组织和物种特异性的潜在见解,这对于为不同人群开发有效的抗衰老干预措施非常重要。我们预计 AgeAnnoMO 将为理解和整合衰老生物学中保守的驱动标志以及识别衰老研究的目标生物标志物提供宝贵的资源。
Aging entails gradual functional decline influenced by interconnected factors. Multiple hallmarks proposed as common and conserved underlying denominators of aging on the molecular, cellular and systemic levels across multiple species. Thus, understanding the function of aging hallmarks and their relationships across species can facilitate the translation of anti-aging drug development from model organisms to humans. Here, we built AgeAnnoMO (https://relab.xidian.edu.cn/AgeAnnoMO/#/), a knowledgebase of multi-omics annotation for animal aging. AgeAnnoMO encompasses an extensive collection of 136 datasets from eight modalities, encompassing 8596 samples from 50 representative species, making it a comprehensive resource for aging and longevity research. AgeAnnoMO characterizes multiple aging regulators across species via multi-omics data, comprehensively annotating aging-related genes, proteins, metabolites, mitochondrial genes, microbiotas and age-specific TCR and BCR sequences tied to aging hallmarks for these species and tissues. AgeAnnoMO not only facilitates a deeper and more generalizable understanding of aging mechanisms, but also provides potential insights of the specificity across tissues and species in aging process, which is important to develop the effective anti-aging interventions for diverse populations. We anticipate that AgeAnnoMO will provide a valuable resource for comprehending and integrating the conserved driving hallmarks in aging biology and identifying the targetable biomarkers for aging research.
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