代谢组学
化学
代谢通量分析
同位素
质谱法
代谢物
焊剂(冶金)
代谢途径
代谢组
稳定同位素比值
示踪剂
代谢网络
先验与后验
生物系统
计算生物学
生化工程
色谱法
新陈代谢
生物化学
分子
物理
有机化学
量子力学
核物理学
工程类
生物
哲学
认识论
作者
Karsten Hiller,Christian M. Metallo,Joanne K. Kelleher,Gregory Stephanopoulos
摘要
Systems level tools for the quantitative analysis of metabolic networks are required to engineer metabolism for biomedical and industrial applications. While current metabolomics techniques enable high-throughput quantification of metabolites, these methods provide minimal information on the rates and connectivity of metabolic pathways. Here we present a new method, nontargeted tracer fate detection (NTFD), that expands upon the concept of metabolomics to solve the above problems. Through the combined use of stable isotope tracers and chromatography coupled to mass spectrometry, our computational analysis enables the quantitative detection of all measurable metabolites derived from a specific labeled compound. Without a priori knowledge of a reaction network or compound library, NTFD provides information about relative flux magnitudes into each metabolite pool by determining the mass isotopomer distribution for all labeled compounds. This novel method adds a new dimension to the metabolomics tool box and provides a framework for global analysis of metabolic fluxes.
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