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基于示踪剂的代谢组学对表型进行表征。

Characterizing phenotype with tracer based metabolomics.

作者信息

Lee Wai Nang P

机构信息

Department of Pediatrics, Harbor-UCLA Medical Center, 1124 W. Carson Street, Torrance, CA 90502 USA.

出版信息

Metabolomics. 2006;2:31-39. doi: 10.1007/s11306-006-0017-3. Epub 2006 May 20.

Abstract

In the post-genomic era, a pressing challenge to biological scientists is to understand the organization of gene functions, the interaction between gene and nutrient environment, and the genesis of phenotypes. Metabolomics, the quantitation of low molecular weight compounds, has been used to provide a phenotypic description of a cell or tissue by a set of metabolites. Gene function is hypothesized from its correlation with the corresponding set of macromolecules by transcriptomics or proteomics. Another approach to genotype-phenotype correlation is by the reconstruction of genome-scale metabolic maps. The utilization of specific pathways as predicted by reaction network analysis provides the phenotypic characterization of a cell, which can be plotted on a phenotypic phase plane. Tracer based metabolomics is the experimental approach to reaction network analysis using stable isotope tracers. The redistribution of the isotope tracer among metabolic intermediates is used to identify a finite number of pathways, the utilization of which is characteristic of the phenotypic behavior of cells. In this paper, we review tracer based metabolomic methods for the construction of phenotypic phase plane plots, and discuss the functional implications of phenotypic phase plane analysis. Examples of phenotypic changes in response to differentiation, inhibition of signaling pathways and perturbation in nutrient environment are provided.

摘要

在后基因组时代,生物科学家面临的一项紧迫挑战是理解基因功能的组织方式、基因与营养环境之间的相互作用以及表型的起源。代谢组学,即对低分子量化合物的定量分析,已被用于通过一组代谢物对细胞或组织进行表型描述。通过转录组学或蛋白质组学,根据基因与相应大分子集的相关性来推测基因功能。另一种基因型与表型相关性的方法是重建基因组规模的代谢图谱。反应网络分析预测的特定途径的利用提供了细胞的表型特征,可将其绘制在表型相平面上。基于示踪剂的代谢组学是使用稳定同位素示踪剂进行反应网络分析的实验方法。同位素示踪剂在代谢中间体之间的重新分布用于识别有限数量的途径,这些途径的利用是细胞表型行为的特征。在本文中,我们综述了基于示踪剂的代谢组学方法用于构建表型相平面图,并讨论了表型相平面分析的功能意义。提供了响应分化、信号通路抑制和营养环境扰动的表型变化实例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d574/4271195/5d316a967b07/11306_2006_17_Fig1_HTML.jpg

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