Ratcliffe R G, Shachar-Hill Y
Department of Plant Sciences, University of Oxford, South Parks Road, Oxford OX1 3RB, UK.
Plant J. 2006 Feb;45(4):490-511. doi: 10.1111/j.1365-313X.2005.02649.x.
Fluxes through metabolic networks are crucial for cell function, and a knowledge of these fluxes is essential for understanding and manipulating metabolic phenotypes. Labeling provides the key to flux measurement, and in network flux analysis the measurement of multiple fluxes allows a flux map to be superimposed on the metabolic network. The principles and practice of two complementary methods, dynamic and steady-state labeling, are described, emphasizing best practice and illustrating their contribution to network flux analysis with examples taken from the plant and microbial literature. The principal analytical methods for the detection of stable isotopes are also described, as well as the procedures for obtaining flux maps from labeling data. A series of boxes summarizing the key concepts of network flux analysis is provided for convenience.
代谢网络中的通量对于细胞功能至关重要，了解这些通量对于理解和操控代谢表型必不可少。标记是通量测量的关键，在网络通量分析中，多个通量的测量可使通量图叠加到代谢网络上。本文描述了两种互补方法——动态标记和稳态标记的原理与实践，强调了最佳实践，并通过取自植物和微生物文献的实例说明了它们对网络通量分析的贡献。还介绍了检测稳定同位素的主要分析方法，以及从标记数据获取通量图的程序。为方便起见，提供了一系列总结网络通量分析关键概念的方框。
