对分子网络状态的遗传影响解释了复杂的特征
Matthias Weith1, Jan Großbach1, Mathieu Clement-Ziza2
1Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases, University of Cologne, Cologne, Germany.
Molecular systems biology
|July 24, 2023
概括
遗传变异可以通过转移与蛋白质激酶A (PKA) 和拉巴胺素 (TOR) 信号的目标相关的中央状态过渡来改变酵母分子网络. 这会影响基本的细胞过程.
科学领域:
- 分子生物学分子生物学
- 系统生物学 系统生物学
- 遗传学 遗传学 是一个
背景情况:
- 细胞特征源于分子网络中的遗传和环境因素之间的复杂相互作用.
- 了解全球网络状态至关重要,但缺乏统一的概念框架.
- 当前的理解往往侧重于本地化的网络模块,而不是系统范围的影响.
研究的目的:
- 研究遗传干扰如何影响分子变化,区分局部效应和全球网络状态调制.
- 通过分子网络识别控制遗传效应传播的关键调节节点或通路.
- 为理解全球网络状态的遗传影响提出一个概念框架.
主要方法:
- 整合多omics分析 (基因组学,转录组学,蛋白质组学等) 的整合. 在基因多样化的酵母菌株 (芽生和裂变酵母) 之间.
- 对各种细胞特征的分析,以将分子变化与表型结果相关联.
- 网络分析,绘制基因扰乱的传播图,并确定中央监管轴.
主要成果:
- 鉴定了酵母分子网络中与蛋白激酶A (PKA) 相关的中心状态过渡和拉巴胺素 (TOR) 信号传递 (PT信号传递) 的目标.
- 证明影响PT状态的遗传变异会在全球范围内将分子网络沿着一个单维轴移动.
- 由于这些全球网络转移,观察到多种细胞过程的调节,包括新陈代谢,转录,翻译,细胞循环和应激反应.
结论:
- 遗传效应可以通过分子网络广泛传播,而不仅仅是在模块内.
- 一个中央调节轴,以PT信号为例,可以协调基本的细胞过程.
- 全球网络状态是遗传变异如何表现细胞特征的关键决定因素.
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