Stable isotope-labeling studies in metabolomics: new insights into structure and dynamics of metabolic networks.

Stable isotope-labeling studies in metabolomics: new insights into structure and dynamics of metabolic networks.
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DOI:
10.4155/bio.13.348
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发表时间:
2014-02
期刊:
影响因子:
1.8
通讯作者:
Creek DJ
Creek DJ
中科院分区:
医学4区
文献类型:
--
作者:
Chokkathukalam A;Kim DH;Barrett MP;Breitling R;Creek DJ

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代谢组学的迅速出现使得能够在各种生物体中对代谢物进行系统范围的测量。然而,对代谢网络的机制理解的进展仍然有限,因为大多数代谢组学研究不能常规地提供准确的代谢物鉴定、绝对定量和通量测量。稳定同位素标记提供了克服这些限制的机会。在这里,我们描述了一些目前的稳定同位素标记代谢组学的方法,并提供了这些研究对我们理解细胞代谢的重大影响的例子。此外,我们还讨论了最近开发的稳定同位素标记代谢组学数据分析软件解决方案,并提出了生物信息学解决方案,为代谢组学中系统规模标记研究的更广泛应用和最佳解释铺平了道路。
The rapid emergence of metabolomics has enabled system-wide measurements of metabolites in various organisms. However, advances in the mechanistic understanding of metabolic networks remain limited, as most metabolomics studies cannot routinely provide accurate metabolite identification, absolute quantification and flux measurement. Stable isotope labeling offers opportunities to overcome these limitations. Here we describe some current approaches to stable isotope-labeled metabolomics and provide examples of the significant impact that these studies have had on our understanding of cellular metabolism. Furthermore, we discuss recently developed software solutions for the analysis of stable isotope-labeled metabolomics data and propose the bioinformatics solutions that will pave the way for the broader application and optimal interpretation of system-scale labeling studies in metabolomics.
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