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致力于实现细胞和组织中代谢通量的高分辨率分析。

Towards high resolution analysis of metabolic flux in cells and tissues.

机构信息

Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155, United States.

出版信息

Curr Opin Biotechnol. 2013 Oct;24(5):933-9. doi: 10.1016/j.copbio.2013.07.001. Epub 2013 Jul 29.

Abstract

Metabolism extracts chemical energy from nutrients, uses this energy to form building blocks for biosynthesis, and interconverts between various small molecules that coordinate the activities of cellular pathways. The metabolic state of a cell is increasingly recognized to determine the phenotype of not only metabolically active cell types such as liver, muscle, and adipose, but also other specialized cell types such as neurons and immune cells. This review focuses on methods to quantify intracellular reaction flux as a measure of cellular metabolic activity, with emphasis on studies involving cells of mammalian tissue. Two key areas are highlighted for future development, single cell metabolomics and noninvasive imaging, which could enable spatiotemporally resolved analysis and thereby overcome issues of heterogeneity, a distinctive feature of tissue metabolism.

摘要

代谢从营养物质中提取化学能量,利用这些能量为生物合成形成构建块,并在协调细胞途径活动的各种小分子之间进行相互转化。细胞的代谢状态越来越被认为不仅决定了代谢活跃的细胞类型(如肝脏、肌肉和脂肪组织)的表型,而且还决定了其他专门的细胞类型(如神经元和免疫细胞)的表型。这篇综述侧重于定量细胞内反应通量作为细胞代谢活性的度量的方法,重点是涉及哺乳动物组织细胞的研究。突出了两个未来发展的关键领域,单细胞代谢组学和非侵入性成像,这可能实现时空分辨分析,从而克服组织代谢的一个显著特征——异质性问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14e9/3783555/d78726acfabd/nihms-510928-f0001.jpg

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本文引用的文献

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Mass spectrometry-based metabolomics of single yeast cells.基于质谱的单细胞代谢组学研究。
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A community-driven global reconstruction of human metabolism.一个由社区驱动的人类代谢全球重建。
Nat Biotechnol. 2013 May;31(5):419-25. doi: 10.1038/nbt.2488. Epub 2013 Mar 3.
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Isotopically nonstationary 13C metabolic flux analysis.同位素非稳态13C代谢通量分析
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