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本文引用的文献

1
Metabolomics method to comprehensively analyze amino acids in different domains.代谢组学方法全面分析不同结构域中的氨基酸。
Analyst. 2015 Apr 21;140(8):2726-34. doi: 10.1039/c4an02386b. Epub 2015 Feb 20.
2
Deregulated Myc requires MondoA/Mlx for metabolic reprogramming and tumorigenesis.Myc 的失调需要 MondoA/Mlx 进行代谢重编程和肿瘤发生。
Cancer Cell. 2015 Feb 9;27(2):271-85. doi: 10.1016/j.ccell.2014.11.024. Epub 2015 Jan 29.
3
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.代谢物分析揭示甘氨酸在癌细胞快速增殖中的关键作用。
Science. 2012 May 25;336(6084):1040-4. doi: 10.1126/science.1218595.
4
Therapeutic targeting of Myc-reprogrammed cancer cell metabolism.针对Myc重编程癌细胞代谢的治疗靶点
Cold Spring Harb Symp Quant Biol. 2011;76:369-74. doi: 10.1101/sqb.2011.76.011296. Epub 2011 Sep 29.
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NMR-based stable isotope resolved metabolomics in systems biochemistry.基于核磁共振的稳定同位素解析代谢组学在系统生物化学中的应用。
J Biomol NMR. 2011 Apr;49(3-4):267-80. doi: 10.1007/s10858-011-9484-6. Epub 2011 Feb 26.
6
Myc, mondo, and metabolism.Myc、蒙多与新陈代谢。
Genes Cancer. 2010 Jun;1(6):587-96. doi: 10.1177/1947601910377489.
7
(13)C-based metabolic flux analysis.基于碳-13的代谢通量分析
Nat Protoc. 2009;4(6):878-92. doi: 10.1038/nprot.2009.58. Epub 2009 May 21.
8
Understanding the Warburg effect: the metabolic requirements of cell proliferation.理解瓦伯格效应:细胞增殖的代谢需求。
Science. 2009 May 22;324(5930):1029-33. doi: 10.1126/science.1160809.
9
Myc regulates a transcriptional program that stimulates mitochondrial glutaminolysis and leads to glutamine addiction.Myc调控一个转录程序,该程序刺激线粒体谷氨酰胺分解并导致谷氨酰胺成瘾。
Proc Natl Acad Sci U S A. 2008 Dec 2;105(48):18782-7. doi: 10.1073/pnas.0810199105. Epub 2008 Nov 24.
10
Beyond aerobic glycolysis: transformed cells can engage in glutamine metabolism that exceeds the requirement for protein and nucleotide synthesis.超越有氧糖酵解:转化细胞可进行超过蛋白质和核苷酸合成所需的谷氨酰胺代谢。
Proc Natl Acad Sci U S A. 2007 Dec 4;104(49):19345-50. doi: 10.1073/pnas.0709747104. Epub 2007 Nov 21.

定量方法研究代谢与蛋白质组生物量之间的平衡:以甘氨酸为起点。

Quantitative Method to Investigate the Balance between Metabolism and Proteome Biomass: Starting from Glycine.

机构信息

Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, 98109, USA.

Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang, Jiangxi Province, 330013, China.

出版信息

Angew Chem Int Ed Engl. 2016 Dec 12;55(50):15646-15650. doi: 10.1002/anie.201609236. Epub 2016 Nov 15.

DOI:10.1002/anie.201609236
PMID:27860107
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6238948/
Abstract

The balance between metabolism and biomass is very important in biological systems; however, to date there has been no quantitative method to characterize the balance. In this methodological study, we propose to use the distribution of amino acids in different domains to investigate this balance. It is well known that endogenous or exogenous amino acids in a biological system are either metabolized or incorporated into free amino acids (FAAs) or proteome amino acids (PAAs). Using glycine (Gly) as an example, we demonstrate a novel method to accurately determine the amounts of amino acids in various domains using serum, urine, and cell samples. As expected, serum and urine had very different distributions of FAA- and PAA-Gly. Using Tet21N human neuroblastoma cells, we also found that Myc(oncogene)-induced metabolic reprogramming included a higher rate of metabolizing Gly, which provides additional evidence that the metabolism of proliferating cells is adapted to facilitate producing new cells. It is therefore anticipated that our method will be very valuable for further studies of the metabolism and biomass balance that will lead to a better understanding of human cancers.

摘要

代谢与生物量平衡在生物系统中非常重要;然而,迄今为止,还没有一种定量方法来描述这种平衡。在这项方法学研究中,我们提出使用氨基酸在不同领域的分布来研究这种平衡。众所周知,生物系统中的内源性或外源性氨基酸要么被代谢,要么被掺入游离氨基酸(FAAs)或蛋白质组氨基酸(PAAs)中。本文以甘氨酸(Gly)为例,展示了一种新方法,可以准确测定血清、尿液和细胞样本中各种氨基酸的含量。不出所料,血清和尿液中 FAA-Gly 和 PAA-Gly 的分布差异很大。使用 Tet21N 人神经母细胞瘤细胞,我们还发现 Myc(致癌基因)诱导的代谢重编程包括更高的甘氨酸代谢率,这为增殖细胞的代谢适应性提供了更多证据,以促进新细胞的产生。因此,我们预计我们的方法将非常有助于进一步研究代谢和生物量平衡,从而更好地理解人类癌症。