University of Birmingham, Institute of Cancer and Genomic Sciences, Birmingham, B15 2TT, England.
University of Birmingham, School of Biosciences, Birmingham, B15 2TT, England.
Sci Rep. 2019 Feb 21;9(1):2520. doi: 10.1038/s41598-018-37525-3.
Metabolism changes extensively during the normal proliferation and differentiation of mammalian cells, and in cancer and inflammatory diseases. Since changes in the metabolic network reflect interactions between genetic, epigenetic and environmental changes, it is helpful to study the flow of label from isotopically labelled precursors into other metabolites rather than static metabolite levels. For this Nuclear Magnetic Resonance (NMR) spectroscopy is an attractive technique as it can quantify site-specific label incorporation. However, for applications using human cells and cell lines, the challenge is to optimize the process to maximize sensitivity and reproducibility. Here we present a new framework to analyze metabolism in mammalian cell lines and primary cells, covering the workflow from the preparation of cells to the acquisition and analysis of NMR spectra. We have applied this new approach in hematological and liver cancer cell lines and confirm the feasibility of tracer-based metabolism in primary liver cells.
哺乳动物细胞在正常增殖和分化过程中以及在癌症和炎症性疾病中,代谢会发生广泛改变。由于代谢网络的变化反映了遗传、表观遗传和环境变化之间的相互作用,因此研究标记从同位素标记前体进入其他代谢物的流动而不是静态代谢物水平是有帮助的。对于这种情况,核磁共振(NMR)光谱是一种很有吸引力的技术,因为它可以定量测定特定部位的标记掺入。然而,对于使用人细胞和细胞系的应用,挑战在于优化该过程以最大限度地提高灵敏度和重现性。在这里,我们提出了一种新的框架来分析哺乳动物细胞系和原代细胞的代谢,涵盖了从细胞制备到 NMR 光谱获取和分析的工作流程。我们已经将这种新方法应用于血液学和肝癌细胞系,并证实了基于示踪剂的原代肝细胞代谢的可行性。