ArticlePlant & cell physiology2022
Development of RIKEN Plant Metabolome MetaDatabase.
Article in Plant & cell physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Analyzing Plant Low-Molecular-Weight Polar Metabolites: A GC-MS Approach.Plants (Basel, Switzerland) · 2026Review
- Insights into Bioactive Molecules inBiomolecules · 2026Article
- AI-integrated digital breeding for crop improvement.Frontiers in plant science · 2026Review
- Untargeted LC-QToF-MS profiling of the soybean (Frontiers in plant science · 2026Article
- Herbicidal Activity and Metabolic Profiling ofJournal of agricultural and food chemistry · 2025Article
- Anion exchange chromatography-based purification of plant-derived nanovesicles fromFrontiers in bioengineering and biotechnology · 2025Article
- RefMetaPlant: a reference metabolome database for plants across five major phyla.Nucleic acids research · 2024Article
- Comprehensive chemical profiling of two Dendrobium species and identification of anti-hepatoma active constituents from Dendrobium chrysotoxum by network pharmacology.BMC complementary medicine and therapies · 2023Article
- Data Processing of Product Ion Spectra: Quality Improvement by Averaging Multiple Similar Spectra of Small Molecules.Mass spectrometry (Tokyo, Japan) · 2022Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The advancement of metabolomics in terms of techniques for measuring small molecules has enabled the rapid detection and quantification of numerous cellular metabolites. Metabolomic data provide new opportunities to gain a deeper understanding of plant metabolism that can improve the health of both plants and humans that consume them. Although major public repositories for general metabolomic data have been established, the community still has shortcomings related to data sharing, especially in terms of data reanalysis, reusability and reproducibility. To address these issues, we developed the RIKEN Plant Metabolome MetaDatabase (RIKEN PMM, http://metabobank.riken.jp/pmm/db/plantMetabolomics), which stores mass spectrometry-based (e.g. gas chromatography-MS-based) metabolite profiling data of plants together with their detailed, structured experimental metadata, including sampling and experimental procedures. Our metadata are described as Linked Open Data based on the Resource Description Framework using standardized and controlled vocabularies, such as the Metabolomics Standards Initiative Ontology, which are to be integrated with various life and biomedical science data using the World Wide Web. RIKEN PMM implements intuitive and interactive operations for plant metabolome data, including raw data (netCDF format), mass spectra (NIST MSP format) and metabolite annotations. The feature is suitable not only for biologists who are interested in metabolomic phenotypes, but also for researchers who would like to investigate life science in general through plant metabolomic approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.