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Challenges in Identifying the Dark Molecules of Life

机译:识别生命的黑暗分子的挑战

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Metabolomics is the study of the metabolome, the collection of small molecules in living organisms, cells, tissues, and biofluids. Technological advances in mass spectrometry, liquid-and gas-phase separations, nuclear magnetic resonance spectroscopy, and big data analytics have now made it possible to study metabolism at an omics or systems level. The significance of this burgeoning scientific field cannot be overstated: It impacts disciplines ranging from biomedicine to plant science. Despite these advances, the central bottleneck in metabolomics remains the identification of key metabolites that play a class-discriminant role. Because metabolites do not follow a molecular alphabet as proteins and nucleic acids do, their identification is much more time consuming, with a high failure rate. In this review, we critically discuss the state-of-the-art in metabolite identification with specific applications in metabolomics and how technologies such as mass spectrometry, ion mobility, chromatography, and nuclear magnetic resonance currently contribute to this challenging task.
机译:代谢组科是研究代谢物,在生物体,细胞,组织和生物流体中的小分子的收集。现在已经使质谱,液相分离,核磁共振光谱和大数据分析的技术进步现在可以在OMICS或系统水平上研究新陈代谢。这种蓬勃发展的科学领域的意义不能夸大:它影响了生物医学的学科对植物科学。尽管有这些进步,但代谢组学中的中央瓶颈仍然是鉴定起判别歧视作用的关键代谢产物。因为代谢物不遵循分子字母作为蛋白质和核酸的作用,所以它们的鉴定更耗时,具有很高的故障率。在本文中,我们将代谢物鉴定讨论了最先进的代谢物鉴定,以及如何在代谢物学中的特定应用以及质谱,离子迁移率,色谱和核磁共振的技术如何有助于这种具有挑战性的任务。

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