节点团队相互抑制:基因调节网络中结构动态关系的预测框架
Sai Shyam1,2, Nikhil Nandhan S1, Vaibhav Anand3,4
1Department of Bioengineering, Indian Institute of Science, Bangalore, Karnataka 560012, India.
Physical biology
|October 2, 2025
概括
基因调节网络 (GRNs) 通常形成两个相互抑制的节点团队,这是解释细胞状态转换的结构. 这种"团队范式"将网络拓与动态联系起来,有助于理解发展和疾病.
科学领域:
- 系统生物学 系统生物学
- 计算生物学 计算生物学
- 遗传学 是一个遗传学.
背景情况:
- 现型可塑性,或细胞状态切换,对于发育,再生和癌症至关重要.
- 基因调节网络 (GRNs) 控制着这些转变,它们的拓影响着动态.
- 虽然已知切换开关,但GRN通常具有相互抑制节点团队的更广泛结构.
研究的目的:
- 为了调查该事件的发生.
主要方法:
- 从Cell Collective数据库中分析了GRNs,引入了一个"不洁净度"指标.
- 使用连续 (RACIPE) 和离散 (布尔) 模型模拟的人工双团队网络 (TTNs).
- 在模拟中不同的杂质,密度和网络大小.
主要成果:
- 杂质与GRN表型景观属性有很强的相关性.
- TTNs表现出对干扰的稳定性,类似于切换开关.
- 能够准确地预测动态特征,如团队间的相关性和稳定状态.
结论:
- 团队范式提供了一个统一的原则,将GRN拓和动态连接起来.
- 这一框架对从高通量测序数据推断网络属性有影响.
- 了解这些网络结构可以促进发展,再生和癌症进展的研究.
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