The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops
Open accessAbstract
There is current debate whether genetically modified (GM) plants might contain unexpected, potentially undesirable changes in overall metabolite composition. However, appropriate analytical technology and acceptable metrics of compositional similarity require development. We describe a comprehensive comparison of total metabolites in field-grown GM and conventional potato tubers using a hierarchical approach initiating with rapid metabolome “fingerprinting” to guide more detailed profiling of metabolites where significant differences are suspected. Central to this strategy are data analysis procedures able to generate validated, reproducible metrics of comparison from complex metabolome data. We show that, apart from targeted changes, these GM potatoes in this study appear substantially equivalent to traditional cultivars.
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Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages
McNemar, Q. (1947) · Psychometrika · doi:10.1007/bf02295996 · Cited by 4,754
Cited by
Potato Glycoalkaloids and Metabolites: Roles in the Plant and in the Diet
Friedman, M. (2006) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf061471t · Cited by 656
Plant metabolomics: towards biological function and mechanism
SCHAUER, N., & FERNIE, A. (2006) · Trends in Plant Science · doi:10.1016/j.tplants.2006.08.007 · Cited by 434
Metabolite profiling of human colon carcinoma – deregulation of TCA cycle and amino acid turnover
Denkert, C., Budczies, J., Weichert, W., Wohlgemuth, G., Scholz, M., Kind, T., Niesporek, S., Noske, A., Buckendahl, A., Dietel, M., et al. (2008) · Molecular Cancer · doi:10.1186/1476-4598-7-72 · Cited by 317
Self-citationDunn, W. B. (2008) · Physical Biology · doi:10.1088/1478-3975/5/1/011001 · Cited by 278
Draper, J., Enot, D. P., Parker, D., Beckmann, M., Snowdon, S., Lin, W., & Zubair, H. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-227 · Cited by 169
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Metadata
- Authors
- Catchpole, G. S., Beckmann, M., Enot, D. P., Mondhe, M., Zywicki, B., Taylor, J., Hardy, N., Smith, A., King, R. D., Kell, D. B., Fiehn, O., & Draper, J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2005-09-26
- Volume
- 102
- Issue
- 40
- Pages
- 14458-14462
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2115592362
- Cited by
- 392
- References
- 1
- FWCI
- 37.09
- Type
- journal article
- Language
- en
- Open access
- green
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- Catchpole, G. S., Beckmann, M., Enot, D. P., Mondhe, M., Zywicki, B., Taylor, J., Hardy, N., Smith, A., King, R. D., Kell, D. B., Fiehn, O., & Draper, J. (2005). Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0503955102
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