肝肿瘤细胞HepG2代谢指纹及代谢足迹的NMR分析

波谱学杂志

肝肿瘤细胞HepG2代谢指纹及代谢足迹的NMR分析

姚建武1,2，安艳捧1，龙晶1，施孝活1，唐惠儒1*

1. 中国科学院生物磁共振分析重点实验室，波谱与原子分子物理国家重点实验室，武汉磁共振中心（中国科学院武汉物理与数学研究所），湖北武汉 430071;
2. 中国科学院大学，北京 100049

收稿日期:2013-03-01 修回日期:2013-05-27 出版日期:2013-12-05 发布日期:2013-12-05
作者简介:姚建武(1984-)，男，湖北武汉人，硕士研究生，从事核磁共振波谱研究工作.*通讯联系人：唐惠儒，电话：027-87198430， E-mail：huiru.tang@wipm.ac.cn.
基金资助:
中国科学院知识创新工程重要方向资助项目（KJCX2-YW-W13和KSCX1-YW-02）.

NMR Analysis of Metabonomic Fingerprints and Footprints of HepG2 Cells

YAO Jian-wu1,2，AN Yan-peng1，LONG Jin1，SHI Xiao-huo1，TANG Hui-ru1*

1. CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, 
Wuhan Centre for Magnetic Resonance (Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences), Wuhan 430071, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2013-03-01 Revised:2013-05-27 Online:2013-12-05 Published:2013-12-05
About author:*Corresponding author: Tang Hui-ru, Tel: 027-87198430，E-mail：huiru.tang@wipm.ac.cn.
Supported by:
中国科学院知识创新工程重要方向资助项目（KJCX2-YW-W13和KSCX1-YW-02）.

摘要/Abstract

摘要：

细胞代谢特征的分析是认识细胞生物化学过程物质基础的一个关键点. 该文使用培养72 h的肝肿瘤细胞HepG2为模型，使用一维与二维核磁共振谱学分析方法，分析了该细胞本身及其培养液中代谢物的组成，确定了50余种覆盖三羧酸循环、糖酵解、氨基酸合成、脂肪酸与胞膜代谢、嘌呤与嘧啶代谢等多个代谢途径的代谢物，发现细胞本身与培养基中代谢物组成能够分别提供“细胞代谢指纹”与“细胞代谢足迹”等互补性信息. 同时发现此方法可用于研究植物次生代谢物槲皮素对肝肿瘤细胞HepG2代谢的影响. 结果表明，核磁共振波谱技术是分析细胞代谢组特征和研究药物对细胞代谢影响规律的有效手段.

关键词: 核磁共振(NMR), 代谢组学(Metabonomics), 槲皮素, HepG2细胞

Abstract:

Analyzing metabolic features is an important approach to understand biochemistry of cells. In this work, NMR spectroscopy was employed to analyze the metabolite compositions of HepG2 cells and culture media. More than 50 metabolites were detected and unambiguously assigned based on ¹H and ¹³C NMR data. These metabolites are known to be involved in metabolic pathways such as tricarboxylic acid cycle (TCA), gluconeogenesis, glycolysis, metabolisms of amino acids, fatty acids, choline, purines and pyrimidines. Metabolomes of the cells and their culture media were shown to offer complementary information on cellular metabolic “fingerprints” and “footprints”. With NMRbased metabonomic approaches, the metabolic effects of quercetin, a plant secondary metabolite, on HepG2 cells were studied. The results of this work demonstrated that NMR is an efficient tool for analyzing cellular metabolome and its responses to drug interventions.

Key words: Nuclear Magnetic Resonance (NMR), metabonomics, quercetin, HepG2 cell

中图分类号:

O482.53

姚建武1,2，安艳捧1，龙晶1，施孝活1，唐惠儒1*. 肝肿瘤细胞HepG2代谢指纹及代谢足迹的NMR分析[J]. 波谱学杂志.

YAO Jian-wu1,2，AN Yan-peng1，LONG Jin1，SHI Xiao-huo1，TANG Hui-ru1*. NMR Analysis of Metabonomic Fingerprints and Footprints of HepG2 Cells[J]. Chinese Journal of Magnetic Resonance.

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