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

被引:24
作者
Puig-Castellvi, Francesc [1 ]
Alfonso, Ignacio [2 ]
Pina, Benjamin [1 ]
Tauler, Roma [1 ]
机构
[1] IDAEA CSIC, Inst Environm Assessment & Water Res, Dept Environm Chem, Jordi Girona 18-26, Barcelona 08034, Catalonia, Spain
[2] Inst Adv Chem Catalonia IQAC CSIC, Dept Biol Chem & Mol Modelling, Jordi Girona 18-26, Barcelona 08034, Catalonia, Spain
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
欧洲研究理事会;
关键词
MESSENGER-RNA; ACID; IDENTIFICATION; RESPONSES; PROFILES; EXPOSURE; ASCA; MS;
D O I
10.1038/srep30982
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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 (H-1 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.
引用
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页数:12
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