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BioMed Research International
Volume 2013 (2013), Article ID 792527, 11 pages
http://dx.doi.org/10.1155/2013/792527
Review Article

Metabolomics in Plants and Humans: Applications in the Prevention and Diagnosis of Diseases

1Centro de Estudios Fotosintéticos y Bioquímicos (CEFOBI-CONICET), Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina
2IIB-Universidad Nacional de General San Martín (UNSAM), 25 de Mayo y Francia, San Martín, 1650 Buenos Aires, Argentina
3Instituto de Biología Molecular y Celular de Rosario (IBR-CONICET), Universidad Nacional de Rosario, Suipacha 531, 2000 Rosario, Argentina

Received 12 April 2013; Accepted 7 July 2013

Academic Editor: Paul Huber

Copyright © 2013 Diego F. Gomez-Casati et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. Hall, M. Beale, O. Fiehn, N. Hardy, L. Sumner, and R. Bino, “Plant metabolomics: the missing link in functional genomics strategies,” Plant Cell, vol. 14, no. 7, pp. 1437–1440, 2002. View at Publisher · View at Google Scholar · View at Scopus
  2. R. J. Bino, R. D. Hall, O. Fiehn et al., “Potential of metabolomics as a functional genomics tool,” Trends in Plant Science, vol. 9, no. 9, pp. 418–425, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. W. Weckwerth, “Metabolomics in systems biology,” Annual Review of Plant Biology, vol. 54, pp. 669–689, 2003. View at Scopus
  4. Z. Lei, D. V. Huhman, and L. W. Sumner, “Mass spectrometry strategies in metabolomics,” Journal of Biological Chemistry, vol. 286, no. 29, pp. 25435–25442, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. O. Fiehn, “Metabolomics—the link between genotypes and phenotypes,” Plant Molecular Biology, vol. 48, no. 1-2, pp. 155–171, 2002. View at Publisher · View at Google Scholar · View at Scopus
  6. M. Stitt and A. R. Fernie, “From measurements of metabolites to metabolomics: an “on the fly” perspective illustrated by recent studies of carbon-nitrogen interactions,” Current Opinion in Biotechnology, vol. 14, no. 2, pp. 136–144, 2003. View at Publisher · View at Google Scholar · View at Scopus
  7. J. L. Griffin and J. P. Shockcor, “Metabolic profiles of cancer cells,” Nature Reviews Cancer, vol. 4, no. 7, pp. 551–561, 2004. View at Scopus
  8. P. Mendes, D. B. Kell, and H. V. Westerhoff, “Channelling can decrease pool size,” European Journal of Biochemistry, vol. 204, no. 1, pp. 257–266, 1992. View at Scopus
  9. P. Menedes, D. B. Kell, and H. V. Westerhoff, “Why and when channelling can decrease pool size at constant net flux in a simple dynamic channel,” Biochimica et Biophysica Acta, vol. 1289, no. 2, pp. 175–186, 1996. View at Publisher · View at Google Scholar · View at Scopus
  10. J. L. Spratlin, N. J. Serkova, and S. G. Eckhardt, “Clinical applications of metabolomics in oncology: a review,” Clinical Cancer Research, vol. 15, no. 2, pp. 431–440, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. K. Akiyama, E. Chikayama, H. Yuasa et al., “PRIMe: a web site that assembles tools for metabolomics and transcriptomics,” In Silico Biology, vol. 8, no. 3-4, pp. 339–345, 2008. View at Scopus
  12. R. F. Staack, D. S. Theobald, and H. H. Maurer, “Studies on the human metabolism and the toxicologic detection of the cough suppressant dropropizine in urine using gas chromatography-mass spectrometry,” Therapeutic Drug Monitoring, vol. 26, no. 4, pp. 441–449, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. T. V. Olah, D. A. McLoughlin, and J. D. Gilbert, “The simultaneous determination of mixtures of drug candidates by liquid chromatography/atmospheric pressure chemical ionization mass spectrometry as an in vivo drug screening procedure,” Rapid Communications in Mass Spectrometry, vol. 11, pp. 17–12, 1997.
  14. U. Roessner, A. Luedemann, D. Brust et al., “Metabolic profiling allows comprehensive phenotyping of genetically or environmentally modified plant systems,” Plant Cell, vol. 13, no. 1, pp. 11–29, 2001. View at Publisher · View at Google Scholar · View at Scopus
  15. O. Fiehn, J. Kopka, P. Dörmann, T. Altmann, R. N. Trethewey, and L. Willmitzer, “Metabolite profiling for plant functional genomics,” Nature Biotechnology, vol. 18, pp. 1157–1161, 2000. View at Publisher · View at Google Scholar · View at Scopus
  16. E. M. Lenz, J. Bright, I. D. Wilson, S. R. Morgan, and A. F. P. Nash, “A 1H NMR-based metabonomic study of urine and plasma samples obtained from healthy human subjects,” Journal of Pharmaceutical and Biomedical Analysis, vol. 33, no. 5, pp. 1103–1115, 2003. View at Publisher · View at Google Scholar · View at Scopus
  17. P. Donato, F. Cacciola, P. Q. Tranchida, P. Dugo, and L. Mondello, “Mass spectrometry detection in comprehensive liquid chromatography: basic concepts, instrumental aspects, applications and trends,” Mass Spectrometry Reviews, vol. 31, no. 5, pp. 523–559, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. V. Sikirzhytski, A. Sikirzhytskaya, and I. K. Lednev, “Multidimensional Raman spectroscopic signatures as a tool for forensic identification of body fluid traces: a review,” Applied Spectroscopy, vol. 65, no. 11, pp. 1223–1232, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. O. Fiehn, “Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks,” Comparative and Functional Genomics, vol. 2, no. 3, pp. 155–168, 2001. View at Publisher · View at Google Scholar · View at Scopus
  20. R. Goodacre, “Metabolomics of a superorganism,” Journal of Nutrition, vol. 137, no. 1, pp. 259–266, 2007. View at Scopus
  21. R. Goodacre, S. Vaidyanathan, W. B. Dunn, G. G. Harrigan, and D. B. Kell, “Metabolomics by numbers: acquiring and understanding global metabolite data,” Trends in Biotechnology, vol. 22, no. 5, pp. 245–252, 2004. View at Publisher · View at Google Scholar · View at Scopus
  22. G. G. Harrigan and R. Goodacre, Metabolic Profiling: Its Role in Biomarker Discovery and Gene Function Analysis, Kluwer Academic Publishers, 2003.
  23. J. R. Kovac, A. W. Pastuszak, and D. J. Lamb, “The use of genomics, proteomics, and metabolomics in identifying biomarkers of male infertility,” Fertility and Sterility, vol. 99, pp. 998–1007, 2013.
  24. S. Hamamah, F. Seguin, C. Barthelemy et al., “1H nuclear magnetic resonance studies of seminal plasma from fertile and infertile men,” Journal of Reproduction and Fertility, vol. 97, no. 1, pp. 51–55, 1993. View at Scopus
  25. J. Carrola, C. M. Rocha, A. S. Barros et al., “Metabolic signatures of lung cancer in biofluids: NMR-based metabonomics of urine,” Journal of Proteome Research, vol. 10, no. 1, pp. 221–230, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. X. H. Xu, Y. Huang, G. Wang, and S. D. Chen, “Metabolomics: a novel approach to identify potential diagnostic biomarkers and pathogenesis in Alzheimer's disease,” Neuroscience Bulletin, vol. 28, pp. 641–648, 2012.
  27. E. Trushina, T. Dutta, X. M. Persson, M. M. Mielke, and R. C. Petersen, “Identification of altered metabolic pathways in plasma and CSF in mild cognitive impairment and Alzheimer's disease using metabolomics,” PLoS ONE, vol. 8, Article ID e63644, 2013.
  28. S. Carraro, S. Rezzi, F. Reniero et al., “Metabolomics applied to exhaled breath condensate in childhood asthma,” American Journal of Respiratory and Critical Care Medicine, vol. 175, no. 10, pp. 986–990, 2007. View at Publisher · View at Google Scholar · View at Scopus
  29. G. De Laurentiis, D. Paris, D. Melck et al., “Metabonomic analysis of exhaled breath condensate in adults by nuclear magnetic resonance spectroscopy,” European Respiratory Journal, vol. 32, no. 5, pp. 1175–1183, 2008. View at Publisher · View at Google Scholar · View at Scopus
  30. P.-G. Henry and F. Mochel, “The search for sensitive biomarkers in presymptomatic Huntington disease,” Journal of Cerebral Blood Flow and Metabolism, vol. 32, no. 5, pp. 769–770, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. A. Smolinska, L. Blanchet, L. M. Buydens, and S. S. Wijmenga, “NMR and pattern recognition methods in metabolomics: from data acquisition to biomarker discovery: a review,” Analytica Chimica Acta, vol. 750, pp. 82–97, 2012.
  32. R. Wang-Sattler, Z. Yu, C. Herder, et al., “Novel biomarkers for pre-diabetes identified by metabolomics,” Molecular Systems Biology, vol. 8, p. 615, 2012.
  33. G. Liu, H. M. Snapp, Q. C. Ji, and M. E. Arnold, “Strategy of accelerated method development for high-throughput bioanalytical assays using ultra high-performance liquid chromatography coupled with mass spectrometry,” Analytical Chemistry, vol. 81, no. 22, pp. 9225–9232, 2009. View at Publisher · View at Google Scholar · View at Scopus
  34. K. Kim, S. L. Taylor, S. Ganti, L. Guo, M. V. Osier, and R. H. Weiss, “Urine metabolomic analysis identifies potential biomarkers and pathogenic pathways in kidney cancer,” OMICS, vol. 15, no. 5, pp. 293–303, 2011. View at Publisher · View at Google Scholar · View at Scopus
  35. D. Hanahan and R. A. Weinberg, “The hallmarks of cancer,” Cell, vol. 100, no. 1, pp. 57–70, 2000. View at Publisher · View at Google Scholar · View at Scopus
  36. N. J. Serkova and K. Glunde, “Metabolomics of cancer,” Methods in Molecular Biology, vol. 520, pp. 273–295, 2009. View at Publisher · View at Google Scholar · View at Scopus
  37. T. Liu, R. Xue, L. Dong, H. Wu, D. Zhang, and X. Shen, “Rapid determination of serological cytokine biomarkers for hepatitis B virus-related hepatocellular carcinoma using antibody microarrays,” Acta Biochimica et Biophysica Sinica, vol. 43, no. 1, pp. 45–51, 2011. View at Publisher · View at Google Scholar · View at Scopus
  38. A. D. Patterson, O. Maurhofer, D. Beyoǧlu et al., “Aberrant lipid metabolism in hepatocellular carcinoma revealed by plasma metabolomics and lipid profiling,” Cancer Research, vol. 71, no. 21, pp. 6590–6600, 2011. View at Publisher · View at Google Scholar · View at Scopus
  39. J. Chen, W. Wang, S. Lv et al., “Metabonomics study of liver cancer based on ultra performance liquid chromatography coupled to mass spectrometry with HILIC and RPLC separations,” Analytica Chimica Acta, vol. 650, no. 1, pp. 3–9, 2009. View at Publisher · View at Google Scholar · View at Scopus
  40. Y. Masuo, T. Imai, J. Shibato et al., “Omic analyses unravels global molecular changes in the brain and liver of a rat model for chronic Sake (Japanese alcoholic beverage) intake,” Electrophoresis, vol. 30, no. 8, pp. 1259–1275, 2009. View at Publisher · View at Google Scholar · View at Scopus
  41. D. G. Lee, J.-H. Lee, B. K. Choi et al., “H+-myo-inositol transporter SLC2A13 as a potential marker for cancer stem cells in an oral squamous cell carcinoma,” Current Cancer Drug Targets, vol. 11, no. 8, pp. 966–975, 2011. View at Publisher · View at Google Scholar · View at Scopus
  42. N. J. Serkova, E. J. Gamito, R. H. Jones et al., “The metabolites citrate, myo-inositol, and spermine are potential age-independent markers of prostate cancer in human expressed prostatic secretions,” Prostate, vol. 68, no. 6, pp. 620–628, 2008. View at Publisher · View at Google Scholar · View at Scopus
  43. A. N. Lane, T. W.-M. Fan, and R. M. Higashi, “Stable isotope-assisted metabolomics in cancer research,” IUBMB Life, vol. 60, no. 2, pp. 124–129, 2008. View at Publisher · View at Google Scholar · View at Scopus
  44. G. Riscuta and R. G. Dumitrescu, “Nutrigenomics: implications for breast and colon cancer prevention,” Methods in Molecular Biology, vol. 863, pp. 343–358, 2012. View at Publisher · View at Google Scholar · View at Scopus
  45. J. L. Griffin, H. Atherton, J. Shockcor, and L. Atzori, “Metabolomics as a tool for cardiac research,” Nature Reviews Cardiology, vol. 8, no. 11, pp. 630–643, 2011. View at Publisher · View at Google Scholar · View at Scopus
  46. J. K. Pai, T. Pischon, J. Ma, et al., “Inflammatory markers and the risk of coronary heart disease in men and women,” New England Journal of Medicine, vol. 351, pp. 2599–2610, 2004. View at Publisher · View at Google Scholar
  47. M. S. Sabatine, E. Liu, D. A. Morrow et al., “Metabolomic identification of novel biomarkers of myocardial ischemia,” Circulation, vol. 112, no. 25, pp. 3868–3875, 2005. View at Publisher · View at Google Scholar · View at Scopus
  48. M. Mayr, S. Yusuf, G. Weir, et al., “Combined metabolomic and proteomic analysis of human atrial fibrillation,” Journal of the American College of Cardiology, vol. 51, pp. 585–594, 2008. View at Publisher · View at Google Scholar
  49. S. H. Shah, J. R. Bain, M. J. Muehlbauer et al., “Association of a peripheral blood metabolic profile with coronary artery disease and risk of subsequent cardiovascular events,” Circulation, vol. 3, no. 2, pp. 207–214, 2010. View at Publisher · View at Google Scholar · View at Scopus
  50. M. Ciborowski, J. Teul, J. L. Martin-Ventura, J. Egido, and C. Barbas, “Metabolomics with LC-QTOF-MS permits the prediction of disease stage in aortic abdominal aneurysm based on plasma metabolic fingerprint,” PLoS ONE, vol. 7, no. 2, Article ID e31982, 2012. View at Publisher · View at Google Scholar · View at Scopus
  51. C. Herder, M. Karakas, and W. Koenig, “Biomarkers for the prediction of type 2 diabetes and cardiovascular disease,” Clinical Pharmacology and Therapeutics, vol. 90, no. 1, pp. 52–66, 2011. View at Publisher · View at Google Scholar · View at Scopus
  52. P. G. Devaux, M. G. Homing, and B. C. Homing, “Benyzloxime derivative of steroids, a new metabolic profile procedure for human urinary steroids,” Analytical Letters, vol. 4, p. 151, 1971.
  53. B. C. Horning and M. G. Horning, Metabolic Profiles: Chromatographic Methods for Isolation and Characterization of a Variety of Metabolites in Man, Yearbook Medical Publishers, Chicago, Ill, USA, 1970.
  54. B. C. Horning and M. G. Horning, “Human metabolic profiles obtained by GC and GC/MS,” Journal of Chromatographic Science, vol. 9, pp. 129–140, 1971.
  55. W. R. Cunnick, J. B. Cromie, R. Cortell et al., “Value of biochemical profiling in a periodic health examination program: analysis of 1,000 cases,” Bulletin of the New York Academy of Medicine, vol. 18, no. 1, pp. 5–22, 1972. View at Scopus
  56. W. J. Mroczek, “Biochemical profiling and the natural history of hypertensive diseases,” Circulation, vol. 45, no. 6, pp. 1332–1333, 1972. View at Scopus
  57. U. Roessner, C. Wagner, J. Kopka, R. N. Trethewey, and L. Willmitzer, “Simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry,” Plant Journal, vol. 23, no. 1, pp. 131–142, 2000. View at Publisher · View at Google Scholar · View at Scopus
  58. V. Maloney, “Plant metabolomics,” Biotechnology Journal, vol. 2, pp. 92–99, 2004.
  59. O. Fiehn and W. Weckwerth, “Deciphering metabolic networks,” European Journal of Biochemistry, vol. 270, no. 4, pp. 579–588, 2003. View at Publisher · View at Google Scholar · View at Scopus
  60. MASC, The Multinational Coordinated Arabidopsis thaliana Functional Genomics Project—Annual Report 2007, 2007.
  61. K. Saito, M. Y. Hirai, and K. Yonekura-Sakakibara, “Decoding genes with coexpression networks and metabolomics—“majority report by precogs”,” Trends in Plant Science, vol. 13, no. 1, pp. 36–43, 2008. View at Publisher · View at Google Scholar · View at Scopus
  62. K.-M. Oksman-Caldentey, D. Inzé, and M. Orešič, “Connecting genes to metabolites by a systems biology approach,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 27, pp. 9949–9950, 2004. View at Publisher · View at Google Scholar · View at Scopus
  63. W. B. Dunn, N. J. C. Bailey, and H. E. Johnson, “Measuring the metabolome: current analytical technologies,” Analyst, vol. 130, no. 5, pp. 606–625, 2005. View at Publisher · View at Google Scholar · View at Scopus
  64. X. Ye, S. Al-Babili, A. Kloti et al., “Engineering the provitamin A (β-carotene) biosynthetic pathway into (carotenoid-free) rice endosperm,” Science, vol. 287, no. 5451, pp. 303–305, 2000. View at Publisher · View at Google Scholar · View at Scopus
  65. J. A. Paine, C. A. Shipton, S. Chaggar et al., “Improving the nutritional value of Golden Rice through increased pro-vitamin A content,” Nature Biotechnology, vol. 23, no. 4, pp. 482–487, 2005. View at Publisher · View at Google Scholar · View at Scopus
  66. R. A. Mehta, T. Cassol, N. Li, N. Ali, A. K. Handa, and A. K. Mattoo, “Engineered polyamine accumulation in tomato enhances phytonutrient content, juice quality, and vine life,” Nature Biotechnology, vol. 20, no. 6, pp. 613–618, 2002. View at Publisher · View at Google Scholar · View at Scopus
  67. E. Butelli, L. Titta, M. Giorgio et al., “Enrichment of tomato fruit with health-promoting anthocyanins by expression of select transcription factors,” Nature Biotechnology, vol. 26, no. 11, pp. 1301–1308, 2008. View at Publisher · View at Google Scholar · View at Scopus
  68. Q. Pan, Q. Wang, F. Yuan, et al., “Overexpression of ORCA3 and G10H in Catharanthus roseus plants regulated alkaloid biosynthesis and metabolism revealed by NMR-metabolomics,” PLoS ONE, vol. 7, Article ID e43038, 2012.
  69. T. J. Tschaplinski, R. F. Standaert, N. L. Engle, et al., “Down-regulation of the caffeic acid O-methyltransferase gene in switchgrass reveals a novel monolignol analog,” Biotechnology for Biofuels, vol. 5, p. 71, 2012.
  70. M. Kondrak, F. Marincs, F. Antal, Z. Juhasz, and Z. Banfalvi, “Effects of yeast trehalose-6-phosphate synthase 1 on gene expression and carbohydrate contents of potato leaves under drought stress conditions,” BMC Plant Biology, vol. 12, article 74, 2012. View at Publisher · View at Google Scholar
  71. M. R. Siahpoosh, D. H. Sanchez, A. Schlereth et al., “Modification of OsSUT1 gene expression modulates the salt response of rice Oryza sativa cv. Taipei 309,” Plant Science, vol. 182, no. 1, pp. 101–111, 2012. View at Publisher · View at Google Scholar · View at Scopus
  72. Y. Ren, T. Wang, Y. Peng, B. Xia, and L.-J. Qu, “Distinguishing transgenic from non-transgenic Arabidopsis plants by 1H NMR-based metabolic fingerprinting,” Journal of Genetics and Genomics, vol. 36, no. 10, pp. 621–628, 2009. View at Publisher · View at Google Scholar · View at Scopus
  73. V. Calvenzani, M. Martinelli, V. Lazzeri et al., “Response of wild-type and high pigment-1 tomato fruit to UV-B depletion: flavonoid profiling and gene expression,” Planta, vol. 231, no. 3, pp. 755–765, 2010. View at Publisher · View at Google Scholar · View at Scopus
  74. V. J. Nikiforova, J. Kopka, V. Tolstikov et al., “Systems rebalancing of metabolism in response to sulfur deprivation, as revealed by metabolome analysis of Arabidopsis plants,” Plant Physiology, vol. 138, no. 1, pp. 304–318, 2005. View at Publisher · View at Google Scholar · View at Scopus
  75. D. Cook, S. Fowler, O. Fiehn, and M. F. Thomashow, “A prominent role for the CBF cold response pathway in configuring the low-temperature metabolome of Arabidopsis,” Proceedings of the National Academy of Sciences of the United States of America, vol. 101, no. 42, pp. 15243–15248, 2004. View at Publisher · View at Google Scholar · View at Scopus
  76. R. Bhalla, K. Narasimhan, and S. Swarup, “Metabolomics and its role in understanding cellular responses in plants,” Plant Cell Reports, vol. 24, no. 10, pp. 562–571, 2005. View at Publisher · View at Google Scholar · View at Scopus
  77. M. Bedair and L. W. Sumner, “Current and emerging mass-spectrometry technologies for metabolomics,” Trends in Analytical Chemistry, vol. 27, no. 3, pp. 238–250, 2008. View at Publisher · View at Google Scholar · View at Scopus
  78. A. Aharoni, C. H. R. De Vos, H. A. Verhoeven et al., “Nontargeted metabolome analysis by use of Fourier Transform Ion Cyclotron Mass Spectrometry,” OMICS, vol. 6, no. 3, pp. 217–234, 2002. View at Scopus
  79. S. Moco, R. J. Bino, O. Vorst et al., “A liquid chromatography-mass spectrometry-based metabolome database for tomato,” Plant Physiology, vol. 141, no. 4, pp. 1205–1218, 2006. View at Publisher · View at Google Scholar · View at Scopus
  80. A. Thiocone, E. E. Farmer, and J.-L. Wolfender, “Screening for wound-induced oxylipins in Arabidopsis thaliana by differential HPLC-APCI/MS profiling of crude leaf extracts and subsequent characterisation by capillary-scale NMR,” Phytochemical Analysis, vol. 19, no. 3, pp. 198–205, 2008. View at Publisher · View at Google Scholar · View at Scopus
  81. M. A. Farag, D. V. Huhman, Z. Lei, and L. W. Sumner, “Metabolic profiling and systematic identification of flavonoids and isoflavonoids in roots and cell suspension cultures of Medicago truncatula using HPLC-UV-ESI-MS and GC-MS,” Phytochemistry, vol. 68, no. 3, pp. 342–354, 2007. View at Publisher · View at Google Scholar · View at Scopus
  82. R. C. H. De Vos, S. Moco, A. Lommen, J. J. B. Keurentjes, R. J. Bino, and R. D. Hall, “Untargeted large-scale plant metabolomics using liquid chromatography coupled to mass spectrometry,” Nature Protocols, vol. 2, no. 4, pp. 778–791, 2007. View at Publisher · View at Google Scholar · View at Scopus
  83. J. K. Kim, T. Bamba, K. Harada, E. Fukusaki, and A. Kobayashi, “Time-course metabolic profiling in Arabidopsis thaliana cell cultures after salt stress treatment,” Journal of Experimental Botany, vol. 58, no. 3, pp. 415–424, 2007. View at Publisher · View at Google Scholar · View at Scopus
  84. D. H. Sanchez, M. R. Siahpoosh, U. Roessner, M. Udvardi, and J. Kopka, “Plant metabolomics reveals conserved and divergent metabolic responses to salinity,” Physiologia Plantarum, vol. 132, no. 2, pp. 209–219, 2008. View at Publisher · View at Google Scholar · View at Scopus
  85. A. Staszków, B. Swarcewicz, J. Banasiak, D. Muth, M. Jasiński, and M. Stobiecki, “LC/MS profiling of flavonoid glycoconjugates isolated from hairy roots, suspension root cell cultures and seedling roots of Medicago truncatula,” Metabolomics, vol. 7, no. 4, pp. 604–613, 2011. View at Publisher · View at Google Scholar · View at Scopus
  86. T. Soga, “Capillary electrophoresis-mass spectrometry for metabolomics,” Methods in Molecular Biology, vol. 358, pp. 129–137, 2007. View at Scopus
  87. B. J. Williams, C. J. Cameron, R. Workman, C. D. Broeckling, L. W. Sumner, and J. T. Smith, “Amino acid profiling in plant cell cultures: an inter-laboratory comparison of CE-MS and GC-MS,” Electrophoresis, vol. 28, no. 9, pp. 1371–1379, 2007. View at Publisher · View at Google Scholar · View at Scopus
  88. J. M. Cevallos-Cevallos, R. Rouseff, and J. I. Reyes-De-Corcuera, “Untargeted metabolite analysis of healthy and Huanglongbing-infected orange leaves by CE-DAD,” Electrophoresis, vol. 30, no. 7, pp. 1240–1247, 2009. View at Publisher · View at Google Scholar · View at Scopus
  89. K. Urakami, V. Zangiacomi, K. Yamaguchi, and M. Kusuhara, “Quantitative metabolome profiling of Illicium anisatum by capillary electro-phoresis time-of-flight mass spectrometry,” Biomedical Research, vol. 31, no. 2, pp. 161–163, 2010. View at Publisher · View at Google Scholar · View at Scopus
  90. M. Baranska, H. Schulz, P. Rösch, M. A. Strehle, and J. Popp, “Identification of secondary metabolites in medicinal and spice plants by NIR-FT-Raman microspectroscopic mapping,” Analyst, vol. 129, no. 10, pp. 926–930, 2004. View at Publisher · View at Google Scholar · View at Scopus
  91. N. N. Kaderbhai, D. I. Broadhurst, D. I. Ellis, R. Goodacre, and D. B. Kell, “Functional genomics via metabolic footprinting: Monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry,” Comparative and Functional Genomics, vol. 4, no. 4, pp. 376–391, 2003. View at Publisher · View at Google Scholar · View at Scopus
  92. M. Baranska, H. Schulz, H. Krüger, and R. Quilitzsch, “Chemotaxonomy of aromatic plants of the genus Origanum via vibrational spectroscopy,” Analytical and Bioanalytical Chemistry, vol. 381, no. 6, pp. 1241–1247, 2005. View at Publisher · View at Google Scholar · View at Scopus
  93. H. Schulz, M. Baranska, R. Quilitzsch, W. Schütze, and G. Lösing, “Characterization of peppercorn, pepper oil, and pepper oleoresin by vibrational spectroscopy methods,” Journal of Agricultural and Food Chemistry, vol. 53, no. 9, pp. 3358–3363, 2005. View at Publisher · View at Google Scholar · View at Scopus
  94. H. Schulz, B. Schrader, R. Quilitzsch, S. Pfeffer, and H. Krüger, “Rapid classification of basil chemotypes by various vibrational spectroscopy methods,” Journal of Agricultural and Food Chemistry, vol. 51, no. 9, pp. 2475–2481, 2003. View at Publisher · View at Google Scholar · View at Scopus
  95. H. K. Kim, Y. H. Choi, and R. Verpoorte, “NMR-based plant metabolomics: where do we stand, where do we go?” Trends in Biotechnology, vol. 29, no. 6, pp. 267–275, 2011. View at Publisher · View at Google Scholar · View at Scopus
  96. J. Schripsema, “Application of NMR in plant metabolomics: techniques, problems and prospects,” Phytochemical Analysis, vol. 21, no. 1, pp. 14–21, 2010. View at Publisher · View at Google Scholar · View at Scopus
  97. J. Kikuchi, K. Shinozaki, and T. Hirayama, “Stable isotope labeling of Arabidopsis thaliana for an NMR-based metabolomics approach,” Plant and Cell Physiology, vol. 45, no. 8, pp. 1099–1104, 2004. View at Scopus
  98. Y. Sekiyama and J. Kikuchi, “Towards dynamic metabolic network measurements by multi-dimensional NMR-based fluxomics,” Phytochemistry, vol. 68, no. 16–18, pp. 2320–2329, 2007. View at Publisher · View at Google Scholar · View at Scopus
  99. K. A. Leiss, Y. H. Choi, R. Verpoorte, and P. G. L. Klinkhamer, “An overview of NMR-based metabolomics to identify secondary plant compounds involved in host plant resistance,” Phytochemistry Reviews, vol. 10, no. 2, pp. 205–216, 2011. View at Publisher · View at Google Scholar · View at Scopus
  100. C. L. Gavaghan, J. V. Li, S. T. Hadfield et al., “Application of NMR-based metabolomics to the investigation of salt stress in maize (Zea mays),” Phytochemical Analysis, vol. 22, no. 3, pp. 214–224, 2011. View at Publisher · View at Google Scholar · View at Scopus
  101. J. L. Ward, J. M. Baker, and M. H. Beale, “Recent applications of NMR spectroscopy in plant metabolomics,” FEBS Journal, vol. 274, no. 5, pp. 1126–1131, 2007. View at Publisher · View at Google Scholar · View at Scopus
  102. K. Mochida and K. Shinozaki, “Genomics and bioinformatics resources for crop improvement,” Plant and Cell Physiology, vol. 51, no. 4, pp. 497–523, 2010. View at Publisher · View at Google Scholar · View at Scopus