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Metabolite Changes Signal Genetic Regulatory Mechanisms for Robust Cell Behavior

机译:代谢物改变信号遗传调控机制,实现稳定的细胞行为

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Exploiting mechanisms of utilizing the sugar d-galactose in Escherichia coli as a model system, we explored the consequences of accumulation of critical intermediates of the d-galactose metabolic pathways by monitoring cell growth, metabolites, and transcript profiles. These studies revealed both metabolic network changes far from the d-galactose pathway and changes in the global gene regulatory network. The concentration change of a critical intermediate disturbs the equilibrium state, generating a ripple effect through several metabolic pathways that ends up signaling up- or downregulation of specific sets of genes in a programmed manner to cope with the imbalance. Such long-range effects on metabolites and genetic regulatory mechanisms not only may be a common feature in bacteria but very likely operate during cellular development and differentiation in higher organisms as well as in disease cells, like cancer cells. >IMPORTANCE Metabolite accumulation can create adverse intracellular conditions that are relieved by compensatory immediate changes of metabolite pools and later changes of transcript levels. It has been known that gene expression is normally regulated by added catabolic substrates (induction) or anabolic end products (repression). It is becoming apparent now that change in the concentration of metabolic intermediates also plays a critical role in genetic regulatory networks for metabolic homeostasis. Our study provides new insight into how metabolite pool changes transduce signals to global gene regulatory networks.
机译:利用大肠杆菌中的糖d-半乳糖作为模型系统的机制,我们通过监测细胞生长,代谢产物和转录物谱图探索了d-半乳糖代谢途径关键中间体积累的后果。这些研究揭示了代谢网络的变化远非d-半乳糖途径和全球基因调控网络的变化。关键中间体的浓度变化会扰乱平衡状态,并通过几种代谢途径产生连锁反应,最终以编程方式应对特定基因组的上调或下调,以应对这种不平衡。这种对代谢物和遗传调控机制的远程影响不仅可能是细菌的共同特征,而且很有可能在高级生物以及疾病细胞(如癌细胞)的细胞发育和分化过程中发挥作用。 >重要:代谢物蓄积会造成不利的细胞内状况,而代谢物池的代偿性立即变化和转录物水平的后来变化可缓解这种状况。已知基因表达通常受添加的分解代谢底物(诱导)或合成代谢终产物(抑制)调节。现在变得明显的是,代谢中间体浓度的变化在代谢稳态的遗传调控网络中也起着关键作用。我们的研究为代谢物池变化如何将信号转导至全球基因调控网络提供了新见解。

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