The DOI matches its Crossref record.
Plant Metabolomics: The Missing Link in Functional Genomics Strategies
Open accessAbstract
After the establishment of technologies for high-throughput DNA sequencing (genomics), gene expression analysis (transcriptomics), and protein analysis (proteomics), the remaining functional genomics challenge is that of metabolomics. Metabolomics is the term coined for essentially comprehensive, nonbiased, high-throughput analyses of complex metabolite mixtures typical of plant extracts. This potentially holistic approach to metabolome analysis is driven primarily by recent advances in mass spectrometry (MS) technology and by the goals of functional genomics research. Achieving the broadest overview of metabolic composition is very complex and entails establishing a multifaceted, fully integrated strategy for optimal sample extraction, metabolite separation/detection/identification, automated data gathering/handling/analysis, and, ultimately, quantification. Both analytical and computational developments are essential to achieve this goal. The First International Congress on Plant Metabolomics was held in Wageningen, The Netherlands, in April 2002, with the primary goal of bringing together those players who are already active in this field and those who soon plan to be. In so doing, opportunities are created for collaboration, overlap can be avoided, and joint strategies can be determined to meet the metabolomics challenge. Indexed abstracts from the oral and poster presentations at the meeting are now accessible at www. metabolomics.nl, and this site will continue to be used as an aid to information exchange and enhanced collaboration.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Gut microorganisms, mammalian metabolism and personalized health care
Nicholson, J. K., Holmes, E., & Wilson, I. D. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1152 · Cited by 945
Weckwerth, W., Wenzel, K., & Fiehn, O. (2004) · PROTEOMICS · doi:10.1002/pmic.200200500 · Cited by 425
Self-citationQuantitative metabolomics based on gas chromatography mass spectrometry: status and perspectives
Koek, M. M., Jellema, R. H., van der Greef, J., Tas, A. C., & Hankemeier, T. (2011) · Metabolomics · doi:10.1007/s11306-010-0254-3 · Cited by 353
Metabolomics for Plant Improvement: Status and Prospects
Kumar, R., Bohra, A., Pandey, A. K., Pandey, M. K., & Kumar, A. (2017) · Frontiers in Plant Science · doi:10.3389/fpls.2017.01302 · Cited by 328
Legume Natural Products: Understanding and Manipulating Complex Pathways for Human and Animal Health
Dixon, R. A., & Sumner, L. W. (2003) · Plant Physiology · doi:10.1104/pp.102.017319 · Cited by 293
Self-citation
Metadata
- Authors
- Hall, R., Beale, M., Fiehn, O., Hardy, N., Sumner, L., & Bino, R.
- Venue
- The Plant Cell
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-07
- Volume
- 14
- Issue
- 7
- Pages
- 1437-1440
- ISSN
- 1040-4651 (ISSN-L)
- 1532-298X
- OpenAlex
- W2060199892
- Cited by
- 318
- References
- 0
- FWCI
- 4.10
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Plant Metabolomics: The Missing Link in Functional Genomics Strategies. https://app.cochat.ai/papers/10.1105/tpc.140720
- The paper
- Hall, R., Beale, M., Fiehn, O., Hardy, N., Sumner, L., & Bino, R. (2002). Plant Metabolomics: The Missing Link in Functional Genomics Strategies. The Plant Cell. https://doi.org/10.1105/tpc.140720
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.