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Cited by 392

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 access
Catchpole, Gareth S., Beckmann, Manfred, Enot, David P., Mondhe, Madhav, Zywicki, Britta, Taylor, Janet, Hardy, Nigel, Smith, Aileen, King, Ross D., Kell, Douglas B., Fiehn, Oliver, Draper, John·2005·Proceedings of the National Academy of Sciences

Abstract

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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Crossref · 10.1073/pnas.0503955102

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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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CoChat. (2026). Citation check: Hierarchical metabolomics demonstrates substantial compositional similarity between genetically modified and conventional potato crops. https://app.cochat.ai/papers/10.1073/pnas.0503955102
The paper
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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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.