器官间遗传网络的高通量剖析:一种多原子系统生物学方法
Rana Alabdan1, Hechmi Shili2, Ghada Moh Samir Elhessewi3
1Department of Information Systems, College of Computer and Information Science, Majmaah University, Al-Majmaah 11952, Saudi Arabia.
SLAS technology
|December 13, 2025
概括
这项研究引入了一个统一的系统生物学模型来分析五个主要器官的器官间遗传网络. 它揭示了27个跨组织模块,为了解系统性疾病和推进精准医学提供了新的框架.
科学领域:
- 系统生物学 系统生物学
- 基因组学就是基因组学.
- 多个omics的分析分析.
背景情况:
- 目前的多原子分析往往集中在单个组织上,掩盖了复杂生理和疾病中的系统性调节机制.
- 对器官间遗传网络的全面理解对于疾病建模和精准医学至关重要.
研究的目的:
- 开发一个统一的系统生物学模型来剖析器官间的遗传网络.
- 识别跨组织调节模块,了解系统生理学和疾病.
主要方法:
- 来自五个主要器官 (肝脏,脏,心脏,肺部,大脑) 的综合转录组,表观组和蛋白质组数据.
- 应用多层面因素分析 (MOFA+) 以确定跨组织协调和模块.
- 使用肝细胞有机体和CRISPR淘汰实验验验证的结果.
主要成果:
- 描述了27个重要的跨组织模块 (FDR < 0.05),作为主要的监管枢纽.
- 确定了关键调节器,如参与跨组织协调的HNF4A和NRF2.
- 通过交叉谈话证实了肝脏-脏代谢轴的显著作用,由CRISPR敲击抑制运输体表达.
结论:
- 开发的框架提供了一个可扩展和验证的方法,超越了以器官为中心的观点.
- 该模型是系统性疾病建模和推进精准医学的强大工具.
- 强调了器官间沟通在维持生理恒温和疾病发病过程中的重要性.
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