跨细胞类型的代谢身份的表观遗传控制
Maria Pires Pacheco1, Déborah Gerard1, Riley J Mangan2,3,4
1Department of Life Sciences and Medicine, University of Luxembourg, 6, Avenue du Swing, Belvaux, L-4367, Luxembourg.
BMC genomics
|December 10, 2025
概括
研究人员使用基因组和表观基因组数据在58个组织中绘制了人类代谢网络. 这揭示了核心和独特的代谢功能,识别了控制细胞代谢身份的调节点.
科学领域:
- 基因组学就是基因组学.
- 系统生物学 系统生物学
- 代谢学 代谢学 代谢学
背景情况:
- 基于约束的网络建模提供了一种强大的基因组规模方法来分析细胞代谢.
- 它捕捉了组织和细胞类型之间的代谢变异,这对于定义代谢身份和识别与疾病相关的转录状态至关重要.
研究的目的:
- 为了重建和分析基因组规模的代谢网络,用于一套全面的人类组织和细胞类型.
- 定义核心和细胞类型特定的代谢功能,并确定控制代谢身份的调控机制.
主要方法:
- 利用了来自EpiATLAS资源 (国际人类表观基因组联盟) 的RNA-seq和表观基因组数据.
- 在58个人类组织和细胞类型中重建了1555个样本的代谢网络.
- 集成网络数据与染色质状态和增强剂-基因相互作用,以确定监管元素.
主要成果:
- 产生了人类代谢活动的汇编,详细说明了代谢功能在细胞类型中的分布.
- 定义的核心新陈代谢 (基本过程) 和独特的新陈代谢 (细胞类型特定的功能).
- 鉴定了控制新陈代谢的关键调节节点,增强剂和转录因子,有证据表明在不活跃的途径中存在Polycomb介导的抑制.
结论:
- 代谢网络和表观基因组数据的综合分析为确定管理代谢身份的监管点提供了基础.
- 这种方法对于理解细胞和组织特异性代谢调节至关重要.
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