The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Measuring multiple fluxes through plant metabolic networks
Open accessAbstract
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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Cites
Parameter estimation in biochemical pathways: a comparison of global optimization methods
Moles, C. G., Mendes, P., & Banga, J. R. (2003) · Genome Research · doi:10.1101/gr.1262503 · Cited by 858
Hellerstein, M. K. (2004) · Metabolic Engineering · doi:10.1016/j.ymben.2003.10.005 · Cited by 96
Cited by
Not just a circle: flux modes in the plant TCA cycle
Sweetlove, L. J., Beard, K. F. M., Nunes-Nesi, A., Fernie, A. R., & Ratcliffe, R. G. (2010) · Trends in Plant Science · doi:10.1016/j.tplants.2010.05.006 · Cited by 874
Self-citationFlux-Balance Modeling of Plant Metabolism
Sweetlove, L. J., & Ratcliffe, R. G. (2011) · Frontiers in Plant Science · doi:10.3389/fpls.2011.00038 · Cited by 137
Self-citationMetabolic flux analysis of secondary metabolism in plants
Shih, M.-L., & Morgan, J. A. (2020) · Metabolic Engineering Communications · doi:10.1016/j.mec.2020.e00123 · Cited by 85
Advances in metabolic flux analysis toward genome-scale profiling of higher organisms
Basler, G., Fernie, A. R., & Nikoloski, Z. (2018) · Bioscience Reports · doi:10.1042/bsr20170224 · Cited by 41
Insights into the spatial and temporal organisation of plant metabolism from network flux analysis
Moreira, T. B., Lima, J. M., Coca, G. C., & Williams, T. C. R. (2019) · Theoretical and Experimental Plant Physiology · doi:10.1007/s40626-018-0132-3 · Cited by 13
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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