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Cited by 260

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Measuring multiple fluxes through plant metabolic networks

Open access
Ratcliffe, R.G., Shachar‐Hill, Y.·2006·The Plant Journal

Abstract

Summary: 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.

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Crossref · 10.1111/j.1365-313x.2005.02649.x

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Metadata

Authors
Ratcliffe, R. G., & Shachar‐Hill, Y.
Venue
The Plant Journal
Publisher
Wiley
Published
2006-01-26
Volume
45
Issue
4
Pages
490-511
ISSN
  • 0960-7412 (ISSN-L)
  • 1365-313X
OpenAlex
W2095386536
Cited by
260
References
2
FWCI
10.93
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Measuring multiple fluxes through plant metabolic networks. https://app.cochat.ai/papers/10.1111/j.1365-313x.2005.02649.x
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Ratcliffe, R. G., & Shachar‐Hill, Y. (2006). Measuring multiple fluxes through plant metabolic networks. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2005.02649.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.