ArticleEuPA open proteomics2016
Metabolite extraction for high-throughput FTICR-MS-based metabolomics of grapevine leaves.
Article in EuPA open proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Decoding grapevine elicitation responses through cell culture metabolomics.BMC plant biology · 2026Article
- Evaluating the Metabolomic Profile and Anti-Pathogenic Properties ofMetabolites · 2024Review
- Metabolomics-Based Mechanistic Insights into Revealing the Adverse Effects of Pesticides on Plants: An Interactive Review.Metabolites · 2023Review
- Untargeted Metabolomics Reveals Antidepressant Effects in a Marine Photosynthetic Organism: The DiatomBiology · 2022Article
- Grapevine and Wine Metabolomics-Based Guidelines for FAIR Data and Metadata Management.Metabolites · 2021Article
- Metabolomics and transcriptomics to decipher molecular mechanisms underlying ectomycorrhizal root colonization of an oak tree.Scientific reports · 2021Article
- Integrating metabolomics and targeted gene expression to uncover potential biomarkers of fungal/oomycetes-associated disease susceptibility in grapevine.Scientific reports · 2020Article
- Metabolite Structure Assignment Using In Silico NMR Techniques.Analytical chemistry · 2020Article
- Article
- Metabolic Fingerprint of PS3-Induced Resistance of Grapevine Leaves againstFrontiers in plant science · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In metabolomics there is an ever-growing need for faster and more comprehensive analysis methods to cope with the increase of biological studies. Direct infusion Fourier-transform ion cyclotron-resonance mass spectrometry (DI-FTICR-MS) is used in non-targeted metabolomics to obtain high-resolution snapshots of the metabolic state of a system. In any metabolic profiling study, the establishment of an effective metabolite extraction protocol is paramount. We developed an improved metabolite extraction method, compatible with DI-FTICR-MS-based metabolomics, using grapevine leaves. This extraction protocol allowed the extraction of polar and non-polar compounds, covering all major classes found in plants and increasing metabolome coverage.
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Registered trials
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