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通过对合成致死的分析理解代谢网络中的通量转换。

Understanding flux switching in metabolic networks through an analysis of synthetic lethals.

机构信息

Centre for Integrative Biology and Systems mEdicine (IBSE), Indian Institute of Technology (IIT) Madras, Chennai, 600 036, India.

Department of Biotechnology, Bhupat Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT) Madras, Chennai, 600 036, India.

出版信息

NPJ Syst Biol Appl. 2024 Sep 17;10(1):104. doi: 10.1038/s41540-024-00426-5.

Abstract

Biological systems are robust and redundant. The redundancy can manifest as alternative metabolic pathways. Synthetic double lethals are pairs of reactions that, when deleted simultaneously, abrogate cell growth. However, removing one reaction allows the rerouting of metabolites through alternative pathways. Little is known about these hidden linkages between pathways. Understanding them in the context of pathogens is useful for therapeutic innovations. We propose a constraint-based optimisation approach to identify inter-dependencies between metabolic pathways. It minimises rerouting between two reaction deletions, corresponding to a synthetic lethal pair, and outputs the set of reactions vital for metabolic rewiring, known as the synthetic lethal cluster. We depict the results for different pathogens and show that the reactions span across metabolic modules, illustrating the complexity of metabolism. Finally, we demonstrate how the two classes of synthetic lethals play a role in metabolic networks and influence the different properties of a synthetic lethal cluster.

摘要

生物系统具有鲁棒性和冗余性。冗余性可以表现为代谢途径的替代。合成双致死是指当同时删除两个反应时,会阻止细胞生长的一对反应。然而,删除一个反应会允许代谢物通过替代途径重新路由。对于这些途径之间的隐藏联系知之甚少。在病原体的背景下理解它们对于治疗创新很有用。我们提出了一种基于约束的优化方法来识别代谢途径之间的相互依赖关系。它最小化了对应于合成致死对的两个反应缺失之间的重路由,并输出了代谢重排所必需的反应集,称为合成致死簇。我们为不同的病原体描绘了结果,并表明这些反应跨越了代谢模块,说明了代谢的复杂性。最后,我们展示了这两种合成致死如何在代谢网络中发挥作用并影响合成致死簇的不同特性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0512/11408705/8646c314446d/41540_2024_426_Fig1_HTML.jpg

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