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1H NMR metabolomic study of auxotrophic starvation in yeast using Multivariate Curve Resolution-Alternating Least Squares for Pathway Analysis

机译:1 H NMR代谢组学研究酵母中营养缺陷型饥饿的发生使用多元曲线分辨率-最小二乘最小二乘法进行路径分析

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摘要

Disruption of specific metabolic pathways constitutes the mode of action of many known toxicants and it is responsible for the adverse phenotypes associated to human genetic defects. Conversely, many industrial applications rely on metabolic alterations of diverse microorganisms, whereas many therapeutic drugs aim to selectively disrupt pathogens’ metabolism. In this work we analyzed metabolic changes induced by auxotrophic starvation conditions in yeast in a non-targeted approach, using one-dimensional proton Nuclear Magnetic Resonance spectroscopy (1H NMR) and chemometric analyses. Analysis of the raw spectral datasets showed specific changes linked to the different stages during unrestricted yeast growth, as well as specific changes linked to each of the four tested starvation conditions (L-methionine, L-histidine, L-leucine and uracil). Analysis of changes in concentrations of more than 40 metabolites by Multivariate Curve Resolution – Alternating Least Squares (MCR-ALS) showed the normal progression of key metabolites during lag, exponential and stationary unrestricted growth phases, while reflecting the metabolic blockage induced by the starvation conditions. In this case, different metabolic intermediates accumulated over time, allowing identification of the different metabolic pathways specifically affected by each gene disruption. This synergy between NMR metabolomics and molecular biology may have clear implications for both genetic diagnostics and drug development.
机译:特定代谢途径的破坏构成许多已知有毒物质的作用方式,并且它是与人类遗传缺陷相关的不良表型的原因。相反,许多工业应用依赖于多种微生物的代谢变化,而许多治疗药物旨在选择性破坏病原体的代谢。在这项工作中,我们使用一维质子核磁共振波谱( 1 H NMR)和化学计量分析以非目标方法分析了酵母中营养缺陷性饥饿条件引起的代谢变化。原始光谱数据集的分析显示,与不受限制的酵母生长过程中不同阶段相关的特定变化,以及与四种测试的饥饿条件(L-蛋氨酸,L-组氨酸,L-亮氨酸和尿嘧啶)相关的特定变化。通过多变量曲线解析度-交替最小二乘(MCR-ALS)分析了40多种代谢物的浓度变化,显示了关键代谢物在滞后,指数和静止无限制生长阶段的正常进程,同时反映了饥饿条件引起的代谢障碍。在这种情况下,随着时间的推移会积累不同的代谢中间体,从而可以鉴定受每种基因破坏特异性影响的不同代谢途径。 NMR代谢组学与分子生物学之间的这种协同作用可能对遗传诊断和药物开发都具有明显的意义。

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