Promises and pitfalls of untargeted metabolomics.
Promises and pitfalls of untargeted metabolomics.
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DOI：
10.1007/s10545-017-0130-7
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发表时间：
2018-05
影响因子：
4.2
通讯作者：
Barshop BA
中科院分区：
文献类型：
--
作者：
Gertsman I;Barshop BA
代谢组学是一个较新的组学领域，它使研究人员能够用半定量和定量的代谢物水平来补充疾病的基因组和蛋白质水平的分析，这两个水平是构成给定表型的化学介质。十多年来，目标代谢组学(特定分析物的量化)和非目标代谢组学(生物标记物发现和全球代谢物图谱)的方法学都取得了进步。当没有先验的代谢假说时，非靶向代谢组学特别有用。液质联用(LC-MS)已成为非靶向代谢组学的首选，因为这些仪器在代谢物覆盖范围和灵敏度方面具有多功能性。在生物样本中分解和分析成百上千种具有不同化学性质的代谢物是一项独特的挑战或陷阱。在这篇综述中，我们讨论了与非靶向代谢组学实验相关的四个主要方面的各种障碍和纠正措施：(1)实验设计，(2)分析前(样品收集和准备)，(3)分析(层析和检测)，(4)分析后(数据处理)。
Metabolomics is one of the newer omics fields, and has enabled researchers to complement genomic and protein level analysis of disease with both semi-quantitative and quantitative metabolite levels, which are the chemical mediators that constitute a given phenotype. Over more than a decade, methodologies have advanced for both targeted (quantification of specific analytes) as well as untargeted metabolomics (biomarker discovery and global metabolite profiling). Untargeted metabolomics is especially useful when there is no a priori metabolic hypothesis. Liquid chromatography coupled to mass spectrometry (LC-MS) has been the preferred choice for untargeted metabolomics, given the versatility in metabolite coverage and sensitivity of these instruments. Resolving and profiling many hundreds to thousands of metabolites with varying chemical properties in a biological sample presents unique challenges, or pitfalls. In this review, we address the various obstacles and corrective measures available in four major aspects associated with an untargeted metabolomics experiment: (1) experimental design, (2) pre-analytical (sample collection and preparation), (3) analytical (chromatography and detection), and (4) post-analytical (data processing).
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