NMR-based stable isotope resolved metabolomics in systems biochemistry.
NMR-based stable isotope resolved metabolomics in systems biochemistry.
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DOI：
10.1007/s10858-011-9484-6
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发表时间：
2011-04
影响因子：
2.7
通讯作者：
Lane AN
中科院分区：
文献类型：
--
作者：
Fan TW;Lane AN
代谢组学的一个重要目标是表征生物体细胞或各种组织中代谢网络响应于外部扰动或病理的变化。代谢物及其稳态浓度的分析不能直接提供关于代谢网络的结构和通量的信息。这需要跟踪方法。NMR特别强大，因为它不仅可用于鉴定和定量未分级混合物（如生物流体或粗细胞/组织提取物）中的代谢物，而且还可通过代谢转化确定源自富含稳定同位素（如13 C和15 N）的前体的代谢物的同位素异构体位置分布。在这篇文章中，我们展示了各种2-D NMR编辑实验的应用，以定义在[U-13 C]-葡萄糖或[U-13 C，15 N]-谷氨酰胺中生长的人肺癌细胞的极性和非极性提取物中存在的化合物的位置同位素异构体作为源示踪剂。这些实验所提供的信息使代谢途径的明确重建成为可能，这是进一步代谢通量建模的基础。
An important goal of metabolomics is to characterize the changes in metabolic networks in cells or various tissues of an organism in response to external perturbations or pathologies. The profiling of metabolites and their steady state concentrations does not directly provide information regarding the architecture and fluxes through metabolic networks. This requires tracer approaches. NMR is especially powerful as it can be used not only to identify and quantify metabolites in an unfractionated mixture such as biofluids or crude cell/tissue extracts, but also determine the positional isotopomer distributions of metabolites derived from a precursor enriched in stable isotopes such as 13C and 15N via metabolic transformations. In this article we demonstrate the application of a variety of 2-D NMR editing experiments to define the positional isotopomers of compounds present in polar and non-polar extracts of human lung cancer cells grown in either [U–13C]-glucose or [U–13C,15N]-glutamine as source tracers. The information provided by such experiments enabled unambiguous reconstruction of metabolic pathways, which is the foundation for further metabolic flux modeling.
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影响因子：
3.6
作者：
Fan, Teresa W-M;Yuan, Peixiong;Lane, Andrew N.;Higashi, Richard M.;Wang, Yun;Hamidi, Anahita B.;Zhou, Rulun;Guitart, Xavier;Chen, Guang;Manji, Husseini K.;Kaddurah-Daouk, Rima
通讯作者：
Kaddurah-Daouk, Rima
影响因子：
6.4
作者：
Eliyahu, Galit;Kreizman, Tamar;Degani, Hadassa
通讯作者：
Degani, Hadassa
影响因子：
2.9
作者：
FAN, TWM;LANE, AN
通讯作者：
LANE, AN
影响因子：
37.3
作者：
Fan TW;Lane AN;Higashi RM;Farag MA;Gao H;Bousamra M;Miller DM
通讯作者：
Miller DM
影响因子：
6.2
作者：
Lane AN;Fan TW;Xie Z;Moseley HN;Higashi RM
通讯作者：
Higashi RM