AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, 19104, USA; Department of Cancer Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicin, Philadelphia, PA, 19104, USA.
Department of Cancer Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA; Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicin, Philadelphia, PA, 19104, USA; Biochemistry and Molecular Biophysics Graduate Group, University of Pennsylvania Perelman School of Medicine, USA.
Mol Metab. 2019 Dec;30:61-71. doi: 10.1016/j.molmet.2019.09.004. Epub 2019 Sep 27.
The dynamic regulation of metabolic pathways can be monitored by stable isotope tracing. Yet, many metabolites are part of distinct processes within different subcellular compartments. Standard isotope tracing experiments relying on analyses in whole cells may not accurately reflect compartmentalized metabolic processes. Analysis of compartmentalized metabolism and the dynamic interplay between compartments can potentially be achieved by stable isotope tracing followed by subcellular fractionation. Although it is recognized that metabolism can take place during biochemical fractionation of cells, a clear understanding of how such post-harvest metabolism impacts the interpretation of subcellular isotope tracing data and methods to correct for this are lacking. We set out to directly assess artifactual metabolism, enabling us to develop and test strategies to correct for it. We apply these techniques to examine the compartment-specific metabolic kinetics of C-labeled substrates targeting central metabolic pathways.
We designed a stable isotope tracing strategy to interrogate post-harvest metabolic activity during subcellular fractionation using liquid chromatography-mass spectrometry (LC-MS).
We show that post-harvest metabolic activity occurs rapidly (within seconds) upon cell harvest. With further characterization we reveal that this post-harvest metabolism is enzymatic and reflects the metabolic capacity of the sub-cellular compartment analyzed, but it is limited in the extent of its propagation into downstream metabolites in metabolic pathways. We also propose and test a post-labeling strategy to assess the amount of post-harvest metabolism occurring in an experiment and then to adjust data to account for this. We validate this approach for both mitochondrial and cytosolic metabolic analyses.
Our data indicate that isotope tracing coupled with sub-cellular fractionation can reveal distinct and dynamic metabolic features of cellular compartments, and that confidence in such data can be improved by applying a post-labeling correction strategy. We examine compartmentalized metabolism of acetate and glutamine and show that acetyl-CoA is turned over rapidly in the cytosol and acts as a pacemaker of anabolic metabolism in this compartment.
代谢途径的动态调控可以通过稳定同位素示踪来监测。然而,许多代谢物是不同亚细胞区室中不同过程的一部分。依赖于整个细胞分析的标准同位素示踪实验可能无法准确反映区室化代谢过程。通过稳定同位素示踪后进行亚细胞分级分离,可以分析区室化代谢和区室之间的动态相互作用。虽然人们认识到代谢可以在细胞的生化分级分离过程中进行,但对于这种收获后代谢如何影响亚细胞同位素示踪数据的解释以及纠正这种影响的方法,还缺乏清晰的认识。我们着手直接评估人为代谢,从而能够开发和测试校正这种代谢的策略。我们应用这些技术来检查靶向中心代谢途径的 C 标记底物的区室特异性代谢动力学。
我们设计了一种稳定同位素示踪策略,使用液相色谱-质谱(LC-MS)来研究亚细胞分级分离过程中的收获后代谢活性。
我们表明,收获后代谢活性在细胞收获后迅速(在几秒钟内)发生。通过进一步的特征分析,我们揭示了这种收获后代谢是酶促的,反映了所分析的亚细胞区室的代谢能力,但它在代谢途径中的下游代谢物中的传播程度有限。我们还提出并测试了一种标记后策略,以评估实验中发生的收获后代谢量,然后调整数据以考虑到这一点。我们验证了这种方法用于线粒体和细胞质代谢分析。
我们的数据表明,同位素示踪与亚细胞分级分离相结合可以揭示细胞区室的独特和动态代谢特征,并且通过应用标记后校正策略可以提高对这种数据的信心。我们检查了乙酸盐和谷氨酰胺的区室化代谢,并表明细胞质中的乙酰辅酶 A 迅速周转,并在该区室中作为合成代谢的起搏器。