Department of Chemistry, University of Louisville, Louisville, KY, USA.
J Biomol NMR. 2011 Apr;49(3-4):267-80. doi: 10.1007/s10858-011-9484-6. Epub 2011 Feb 26.
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 (13)C and (15)N 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-(13)C]-glucose or [U-(13)C,(15)N]-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.
代谢组学的一个重要目标是描述生物体细胞或各种组织中的代谢网络在对外界干扰或病变的反应中所发生的变化。代谢物及其稳定态浓度的描绘并不能直接提供关于代谢网络结构和通量的信息。这需要示踪剂方法。NMR 特别强大,因为它不仅可以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,还可以通过代谢转化,确定来源于富含稳定同位素(如 (13)C 和 (15)N)的前体的代谢物的位置同位素分布。在本文中,我们展示了各种 2-D NMR 编辑实验在鉴定存在于人肺癌细胞的极性和非极性提取物中的化合物的位置同位素方面的应用,这些细胞分别以 [U-(13)C]-葡萄糖或 [U-(13)C,(15)N]-谷氨酰胺作为示踪剂来源。这些实验提供的信息可以明确重建代谢途径,这是进一步进行代谢通量建模的基础。