The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Simultaneous determination of the main metabolites in rice leaves using capillary electrophoresis mass spectrometry and capillary electrophoresis diode array detection
Abstract
Summary: The study of the metabolomics of primary metabolites using conventional chemical analyses requires a high‐throughput method. Chemical derivatizations are a prerequisite for gas‐chromatographic separation, and a large sample quantity is needed for liquid‐chromatographic separation and nuclear magnetic resonance detection systems. Recently, we have developed a capillary electrophoresis–mass spectrometry (CE–MS) technology that can simultaneously quantify a large number of primary metabolites, using only a small quantity of samples, and without any chemical derivatizations. Parallel use of a capillary electrophoresis–diode array detector (CE–DAD) system further enables almost all water‐soluble intracellular metabolites to be analyzed. We demonstrate, with rice leaves, a simple and rapid method of sample preparation for CE analysis; using this method, we have successfully measured the levels of 88 main metabolites involved in glycolysis, the tricarboxylic acid cycle, the pentose phosphate pathway, photorespiration, and amino acid biosynthesis.
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Cites
Analysis of the genome sequence of the flowering plant Arabidopsis thaliana
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Electrospray Ionization for Mass Spectrometry of Large Biomolecules
Fenn, J. B., Mann, M., Meng, C. K., Wong, S. F., & Whitehouse, C. M. (1989) · Science · doi:10.1126/science.2675315 · Cited by 7,634
A Draft Sequence of the Rice Genome ( Oryza sativa L. ssp. indica )
Yu, J., Hu, S., Wang, J., Wong, G. K.-S., Li, S., Liu, B., Deng, Y., Dai, L., Zhou, Y., Zhang, X., et al. (2002) · Science · doi:10.1126/science.1068037 · Cited by 4,208
A Draft Sequence of the Rice Genome ( Oryza sativa L. ssp. japonica )
Goff, S. A., Ricke, D., Lan, T.-H., Presting, G., Wang, R., Dunn, M., Glazebrook, J., Sessions, A., Oeller, P., Varma, H., et al. (2002) · Science · doi:10.1126/science.1068275 · Cited by 2,838
Metabolite profiling for plant functional genomics
Fiehn, O., Kopka, J., Dörmann, P., Altmann, T., Trethewey, R. N., & Willmitzer, L. (2000) · Nature Biotechnology · doi:10.1038/81137 · Cited by 2,127
A draft sequence of the rice genome (Oryza sativa L. ssp. indica) : The rice genome
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Simultaneous analysis of metabolites in potato tuber by gas chromatography–mass spectrometry
Roessner, U., Wagner, C., Kopka, J., Trethewey, R. N., & Willmitzer, L. (2000) · The Plant Journal · doi:10.1046/j.1365-313x.2000.00774.x · Cited by 1,154
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A functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
Raamsdonk, L. M., Teusink, B., Broadhurst, D., Zhang, N., Hayes, A., Walsh, M. C., Berden, J. A., Brindle, K. M., Kell, D. B., Rowland, J. J., et al. (2001) · Nature Biotechnology · doi:10.1038/83496 · Cited by 1,005
Quantitative Metabolome Analysis Using Capillary Electrophoresis Mass Spectrometry
Soga, T., Ohashi, Y., Ueno, Y., Naraoka, H., Tomita, M., & Nishioka, T. (2003) · Journal of Proteome Research · doi:10.1021/pr034020m · Cited by 973
Self-citation
Metadata
- Authors
- Sato, S., Soga, T., Nishioka, T., & Tomita, M.
- Venue
- The Plant Journal
- Publisher
- Wiley
- Published
- 2004-08-04
- Volume
- 40
- Issue
- 1
- Pages
- 151-163
- ISSN
- 0960-7412 (ISSN-L)
- 1365-313X
- OpenAlex
- W1484632047
- Cited by
- 259
- References
- 27
- FWCI
- 19.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sato, S., Soga, T., Nishioka, T., & Tomita, M. (2004). Simultaneous determination of the main metabolites in rice leaves using capillary electrophoresis mass spectrometry and capillary electrophoresis diode array detection. The Plant Journal. https://doi.org/10.1111/j.1365-313x.2004.02187.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.
