Evidence map›Paper›PMID 18266924›Full record

ArticleThe Plant journal : for cell and molecular biology2008

Metabolite annotations based on the integration of mass spectral information.

Yoko Iijima, Yukiko Nakamura, Yoshiyuki Ogata, Ken'ichi Tanaka, Nozomu Sakurai, Kunihiro Suda, Tatsuya Suzuki, Hideyuki Suzuki, Koei Okazaki, Masahiko Kitayama and 3 more

Abstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

109 citing papers in PubMed.

  1. Article
  2. Development of phytochemical genomics: From decoding metabolome to functional genomics and biotechnology of plant metabolism.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2025
    Review
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  8. TheInternational journal of molecular sciences · 2023
    Article
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49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yoko IijimaKazusa DNA Research Institute, Kazusa-Kamatari 2-6-7, Kisarazu 292-0818, Japan.
Yukiko Nakamura
Yoshiyuki Ogata
Ken'ichi Tanaka
Nozomu Sakurai
Kunihiro Suda
Tatsuya Suzuki
Hideyuki Suzuki
Koei Okazaki
Masahiko Kitayama
Shigehiko Kanaya
Koh Aoki
Daisuke Shibata

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large number of metabolites are found in each plant, most of which have not yet been identified. Development of a methodology is required to deal systematically with unknown metabolites, and to elucidate their biological roles in an integrated 'omics' framework. Here we report the development of a 'metabolite annotation' procedure. The metabolite annotation is a process by which structures and functions are inferred for metabolites. Tomato (Solanum lycopersicum cv. Micro-Tom) was used as a model for this study using LC-FTICR-MS. Collected mass spectral features, together with predicted molecular formulae and putative structures, were provided as metabolite annotations for 869 metabolites. Comparison with public databases suggests that 494 metabolites are novel. A grading system was introduced to describe the evidence supporting the annotations. Based on the comprehensive characterization of tomato fruit metabolites, we identified chemical building blocks that are frequently found in tomato fruit tissues, and predicted novel metabolic pathways for flavonoids and glycoalkaloids. These results demonstrate that metabolite annotation facilitates the systematic analysis of unknown metabolites and biological interpretation of their relationships, which provide a basis for integrating metabolite information into the system-level study of plant biology.

Indexed as

Databases, FactualChromatography, LiquidMass SpectrometryPlantsSpectrophotometry, UltravioletSpectroscopy, Fourier Transform Infrared

Identifiers

PMID18266924
PMCPMC2440531

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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.