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本文引用的文献

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Metabolomics coupled with proteomics advancing drug discovery toward more agile development of targeted combination therapies.代谢组学与蛋白质组学相结合,推动药物发现向更灵活的靶向联合治疗发展。
Mol Cell Proteomics. 2013 May;12(5):1226-38. doi: 10.1074/mcp.M112.021683. Epub 2013 Jan 29.
2
Power of metabolomics in diagnosis and biomarker discovery of hepatocellular carcinoma.代谢组学在肝细胞癌诊断和生物标志物发现中的作用。
Hepatology. 2013 May;57(5):2072-7. doi: 10.1002/hep.26130. Epub 2013 Feb 15.
3
Effect of low-dose thalidomide on dopaminergic neuronal differentiation of human neural progenitor cells: a combined study of metabolomics and morphological analysis.低剂量反应停对人神经祖细胞多巴胺能神经元分化的影响:代谢组学和形态分析的联合研究。
Neurotoxicology. 2012 Oct;33(5):1375-80. doi: 10.1016/j.neuro.2012.08.016. Epub 2012 Sep 7.
4
Altered fatty acid metabolism due to rifampicin-resistance conferring mutations in the rpoB Gene of Mycobacterium tuberculosis: mapping the potential of pharmaco-metabolomics for global health and personalized medicine.利福平耐药相关突变导致结核分枝杆菌 rpoB 基因中脂肪酸代谢改变:药物代谢组学在全球健康和个性化医学中的潜力。
OMICS. 2012 Nov;16(11):596-603. doi: 10.1089/omi.2012.0028. Epub 2012 Sep 11.
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An accelerated workflow for untargeted metabolomics using the METLIN database.使用METLIN数据库的非靶向代谢组学加速工作流程。
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Exploratory urinary metabolic biomarkers and pathways using UPLC-Q-TOF-HDMS coupled with pattern recognition approach.采用 UPLC-Q-TOF-HDMS 结合模式识别方法探索尿液代谢生物标志物和途径。
Analyst. 2012 Sep 21;137(18):4200-8. doi: 10.1039/c2an35780a. Epub 2012 Jul 31.
7
Future perspectives of Chinese medical formulae: chinmedomics as an effector.未来的中药方剂研究:以中药组学为工具
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A mitochondrial pyruvate carrier required for pyruvate uptake in yeast, Drosophila, and humans.酵母、果蝇和人类中丙酮酸摄取所需的线粒体丙酮酸载体。
Science. 2012 Jul 6;337(6090):96-100. doi: 10.1126/science.1218099. Epub 2012 May 24.
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细胞代谢组学。

Cell metabolomics.

机构信息

National TCM Key Laboratory of Serum Pharmacochemistry, Key Laboratory of Chinmedomics, Key Pharmacometabolomics Platform of Chinese Medicines, and Heilongjiang University of Chinese Medicine , Harbin, China .

出版信息

OMICS. 2013 Oct;17(10):495-501. doi: 10.1089/omi.2012.0090. Epub 2013 Aug 29.

DOI:10.1089/omi.2012.0090
PMID:23988149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3783970/
Abstract

Abstract Metabolomics technologies enable the examination and identification of endogenous biochemical reaction products, revealing information on the precise metabolic pathways and processes within a living cell. Metabolism is either directly or indirectly involved with every aspect of cell function, and metabolomics is thus believed to be a reflection of the phenotype of any cell. Metabolomics analysis of cells has many potential applications and advantages compared to currently used methods in the postgenomics era. Cell metabolomics is an emerging field that addresses fundamental biological questions and allows one to observe metabolic phenomena in cells. Cell metabolomics consists of four sequential steps: (a) sample preparation and extraction, (b) metabolic profiles of low-weight metabolites based on MS or NMR spectroscopy techniques, (c) pattern recognition approaches and bioinformatics data analysis, (d) metabolites identification resulting in putative biomarkers and molecular targets. The biomarkers are eventually placed in metabolic networks to provide insight on the cellular biochemical phenomena. This article analyzes the recent developments in use of metabolomics to characterize and interpret the cellular metabolome in a wide range of pathophysiological and clinical contexts, and the putative roles of the endogenous small molecule metabolites in this new frontier of postgenomics biology and systems medicine.

摘要

摘要 代谢组学技术能够检测和鉴定内源性生化反应产物,揭示活细胞内精确代谢途径和过程的信息。代谢与细胞功能的各个方面都有直接或间接的关系,因此代谢组学被认为是任何细胞表型的反映。与后基因组时代目前使用的方法相比,细胞代谢组学分析具有许多潜在的应用和优势。细胞代谢组学是一个新兴的领域,它解决了基本的生物学问题,并允许人们观察细胞中的代谢现象。细胞代谢组学包括四个连续的步骤:(a)样品制备和提取,(b)基于 MS 或 NMR 光谱技术的低分子量代谢物的代谢谱,(c)模式识别方法和生物信息学数据分析,(d)导致假定生物标志物和分子靶标的代谢物鉴定。最终,这些生物标志物被放置在代谢网络中,以提供对细胞生化现象的深入了解。本文分析了代谢组学在广泛的病理生理和临床背景下用于描述和解释细胞代谢组的最新进展,以及内源性小分子代谢物在这个后基因组生物学和系统医学新前沿中的可能作用。