hypeR-GEM:通过基因组规模的代谢模型将代谢物签名与酶编码基因连接起来
Ziwei Huang1,2, Paola Sebastiani3,4,5, Daniel Segrè1,6,7,8
1Department of Physics, Boston University, Boston, MA.
bioRxiv : the preprint server for biology
|December 19, 2025
概括
我们开发了hypeR-GEM,这是用于代谢学丰富分析的R包. 它使用基因组规模的代谢模型将代谢物数据与生物途径联系起来,帮助OMICS数据的解释.
科学领域:
- 生物信息学是一种生物信息学.
- 系统生物学 系统生物学
- 代谢学 代谢学 代谢学
背景情况:
- 奥米克斯数据解释依赖于丰富分析,将结果与生物过程联系起来.
- 现有的丰富工具对于代谢层相比,对其他奥米克层来说是有限的.
研究的目的:
- 开发一个强大的方法和R包,hypeR-GEM,用于代谢学丰富分析.
- 调整基因组丰富分析原理,以整合代谢学数据.
主要方法:
- hypeR-GEM利用基因组规模的代谢模型 (GEMs) 将代谢物与酶编码基因连接起来.
- 它将代谢物签名映射到基因签名,用于随后的基因组丰富分析.
- 验证涉及交配的代谢学-保护学和代谢学-转录学数据集.
主要成果:
- 从代谢物中映射出的酶编码基因与差异表达的蛋白质/转录物有显著的重叠.
- 由hypeR-GEM映射的基因丰富的路径在很大程度上与来自配对的欧米克数据的路径相对应.
- 对与年龄相关的代谢特征的分析揭示了与脂质相关的途径丰富.
结论:
- hypeR-GEM提供了一种强大的新陈代谢丰富分析方法,增强了对OMIC数据的解释.
- 该工具通过识别相关的生物途径来证明其实际实用性,包括那些从直接代谢物注释中不明显的生物途径.
- 这种方法有助于通过将代谢学与生物功能联系起来,生成可测试的假设.
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