Are Natural Deep Eutectic Solvents the Missing Link in Understanding Cellular Metabolism and Physiology?

细胞代谢 生理学 共晶体系 化学 新陈代谢 计算生物学 生物 生物化学 有机化学 合金
作者
Young Hae Choi,Jaap van Spronsen,Yuntao Dai,Marianne C. Verberne,Frank Hollmann,Isabel W. C. E. Arends,Geert‐Jan Witkamp,Robert Verpoorte
出处
期刊:Plant Physiology [Oxford University Press]
卷期号:156 (4): 1701-1705 被引量:1318
标识
DOI:10.1104/pp.111.178426
摘要

Over the past decade, metabolomics has developed into a major tool for studying the metabolism of organisms and cells, and through this approach much has been learned about metabolic networks and the reactions of organisms to various external conditions (Lay et al., 2006). Most of this work involves a number of chemometric methods to identify markers in the metabolomic data for various events. But in fact, little work has been done on understanding the meaning of the metabolomic data itself and the role of the total of the compounds observed. Is there any logic in the studying the combination of compounds itself, instead of looking at the correlations between the compounds observed and any disease or applied experimental conditions? NMR-based metabolomics in particular give a clear view of the major compounds present in an organism or cell and enable the direct quantitative comparison of all major compounds. Considering all the information we have collected in recent years using our protocol for NMR-based metabolomics (Kim et al., 2010), we asked ourselves why a few very simple molecules are always present in considerable amounts in all microbial, mammalian, and plant cells. It seems that these compounds must serve some basic function in living cells and organisms. These compounds include sugars, some amino acids, choline, and some organic acids such as malic acid, citric acid, lactic acid, and succinic acid. With the exception of sugars, which may serve as storage products and a source of energy, the other compounds are present in such large amounts that it does not make sense to consider them as only intermediates in metabolic pathways.
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