Web-based resources for mass-spectrometry-based metabolomics: a user’s guide
Abstract
In recent years, a plethora of web-based tools aimed at supporting mass-spectrometry-based metabolite profiling and metabolomics applications have appeared. Given the huge hurdles presented by the chemical diversity and dynamic range of the metabolites present in the plant kingdom, profiling the levels of a broad range of metabolites is highly challenging. Given the scale and costs involved in defining the plant metabolome, it is imperative that data are effectively shared between laboratories pursuing this goal. However, ensuring accurate comparison of samples run on the same machine within the same laboratory, let alone cross-machine and cross-laboratory comparisons, requires both careful experimentation and data interpretation. In this review, we present an overview of currently available software that aids either in peak identification or in the related field of peak alignment as well as those with utility in defining structural information of compounds and metabolic pathways.
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Despite many initiatives, publicly accessible spectral data are still scattered across numerous web-based databases, printed tables, Excel files, and scientific books.
“Despite the many initiatives to make spectral data sets available to the scientific community, the publicly accessible existing spectral data are still scattered over numerous Web-based (searchable) databases, printed tables in scientific journals, Excel files in supporting information, and scientific books (140, 149, 150).”
From The food metabolome: a window over dietary exposure (2014) · cites this paper as [149]
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Sulfur deficiency–induced repressor proteins optimize glucosinolate biosynthesis in plants
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Flux profiling of photosynthetic carbon metabolism in intact plants
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Canalization of Tomato Fruit Metabolism
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Mass Spectral Search and Analysis Using the Golm Metabolome Database
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Self-citationMetabolomics: Towards Understanding Host–Microbe Interactions
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Genome-enabled plant metabolomics
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Self-citationApplication of Stable Isotope-Assisted Metabolomics for Cell Metabolism Studies
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Structural elucidation of low abundant metabolites in complex sample matrices
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Rationales and Approaches for Studying Metabolism in Eukaryotic Microalgae
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Self-citationProcessing Metabolomics and Proteomics Data with Open Software
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Omics of Secondary Metabolic Pathways in Withania somnifera Dunal (ashwagandha)
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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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A genetic algorithm-based approach for pre-processing metabolomics and lipidomics LC–MS data
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- Authors
- Tohge, T., & Fernie, A. R.
- Affiliations
- Max Planck Society (DE)
- Corresponding author
- Fernie, Alisdair R.
- Venue
- Phytochemistry
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 70
- Issue
- 4
- Pages
- 450-456
- ISSN
- 0031-9422 (ISSN-L)
- OpenAlex
- W2028868694
- Cited by
- 152
- References
- 82
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 2 · 2022: 3 · 2021: 2 · 2020: 8 · 2019: 3 · 2018: 8 · 2017: 6 · 2016: 5 · 2015: 5 · 2014: 23 · 2013: 18 · 2012: 20
- FWCI
- 8.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Phytochemistry (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Institute of Standards and Technology
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- web-based tool, mass spectrometry, plant metabolomics, metabolite profiling, peak detection, peak alignment, metabolic pathway reconstruction, data sharing, interlaboratory comparison
- MeSH terms
- Chromatography, Liquid, Gas Chromatography-Mass Spectrometry, Plants, Software, Mass Spectrometry, Computational Biology, Internet, Metabolomics
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