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评价 13C 同位素示踪剂在哺乳动物细胞代谢通量分析中的应用。

Evaluation of 13C isotopic tracers for metabolic flux analysis in mammalian cells.

机构信息

Department of Chemical Engineering, Massachusetts Institute of Technology, Building 56 Room 469C, 77 Massachusetts Ave, Cambridge, MA 02139, United States.

出版信息

J Biotechnol. 2009 Nov;144(3):167-74. doi: 10.1016/j.jbiotec.2009.07.010. Epub 2009 Jul 19.

DOI:10.1016/j.jbiotec.2009.07.010
PMID:19622376
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3026314/
Abstract

(13)C metabolic flux analysis (MFA) is the most comprehensive means of characterizing cellular metabolic states. Uniquely labeled isotopic tracers enable more focused analyses to probe specific reactions within the network. As a result, the choice of tracer largely determines the precision with which one can estimate metabolic fluxes, especially in complex mammalian systems that require multiple substrates. Here we have experimentally determined metabolic fluxes in a tumor cell line, successfully recapitulating the hallmarks of cancer cell metabolism. Using these data, we computationally evaluated specifically labeled (13)C glucose and glutamine tracers for their ability to precisely and accurately estimate fluxes in central carbon metabolism. These methods enabled us to identify the optimal tracer for analyzing individual fluxes, specific pathways, and central carbon metabolism as a whole. [1,2-(13)C(2)]glucose provided the most precise estimates for glycolysis, the pentose phosphate pathway, and the overall network. Tracers such as [2-(13)C]glucose and [3-(13)C]glucose also outperformed the more commonly used [1-(13)C]glucose. [U-(13)C(5)]glutamine emerged as the preferred isotopic tracer for the analysis of the tricarboxylic acid (TCA) cycle. These results provide valuable, quantitative information on the performance of (13)C-labeled substrates and can aid in the design of more informative MFA experiments in mammalian cell culture.

摘要

(13)C 代谢通量分析(MFA)是描述细胞代谢状态的最全面手段。独特标记的示踪剂能够更有针对性地分析网络中的特定反应。因此,示踪剂的选择在很大程度上决定了人们能够估计代谢通量的精度,尤其是在需要多种底物的复杂哺乳动物系统中。在这里,我们通过实验确定了肿瘤细胞系中的代谢通量,成功地再现了癌细胞代谢的标志性特征。使用这些数据,我们从计算上评估了特定标记的 (13)C 葡萄糖和谷氨酰胺示踪剂,以确定它们在精确和准确估计中心碳代谢通量方面的能力。这些方法使我们能够确定用于分析单个通量、特定途径和整个中心碳代谢的最佳示踪剂。[1,2-(13)C(2)]葡萄糖为糖酵解、戊糖磷酸途径和整个网络提供了最精确的估计。[2-(13)C]葡萄糖和[3-(13)C]葡萄糖等示踪剂的表现也优于更常用的[1-(13)C]葡萄糖。[U-(13)C(5)]谷氨酰胺成为分析三羧酸(TCA)循环的首选同位素示踪剂。这些结果提供了关于 (13)C 标记底物性能的有价值的定量信息,并有助于在哺乳动物细胞培养中设计更具信息量的 MFA 实验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/cd50d2486f05/nihms133488f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/a4f23727d597/nihms133488f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/da4088dab3d6/nihms133488f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/7bb60d2a7db5/nihms133488f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/cd50d2486f05/nihms133488f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/a4f23727d597/nihms133488f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/da4088dab3d6/nihms133488f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/7bb60d2a7db5/nihms133488f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/512a/3026314/cd50d2486f05/nihms133488f4.jpg

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