Evidence map›Paper›PMID 16905671›Full record

ArticlePlant physiology2006

Clarification of pathway-specific inhibition by Fourier transform ion cyclotron resonance/mass spectrometry-based metabolic phenotyping studies.

Akira Oikawa, Yukiko Nakamura, Tomonori Ogura, Atsuko Kimura, Hideyuki Suzuki, Nozomu Sakurai, Yoko Shinbo, Daisuke Shibata, Shigehiko Kanaya, Daisaku Ohta

Open access · bronzeAbstract read
In one paragraph

Article in Plant physiology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

22 citing papers in PubMed, 105 citations in OpenAlex.

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  20. Metabolite annotations based on the integration of mass spectral information.The Plant journal : for cell and molecular biology · 2008
    Article
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

10 authors at 3 institutions in 1 country.

Akira OikawaGraduate School of Life and Environmental Sciences, Osaka Prefecture University, Sakai 599-8531, Japan.
Yukiko Nakamura
Tomonori Ogura
Atsuko Kimura
Hideyuki Suzuki
Nozomu Sakurai
Yoko Shinbo
Daisuke Shibata
Shigehiko Kanaya
Daisaku Ohta
Nara Institute of Science and Technology · JPOsaka Prefecture University · JPInternational Pacific University Women's College · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a metabolic profiling scheme based on direct-infusion Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR/MS). The scheme consists of: (1) reproducible data collection under optimized FT-ICR/MS analytical conditions; (2) automatic mass-error correction and multivariate analyses for metabolome characterization using a newly developed metabolomics tool (DMASS software); (3) identification of marker metabolite candidates by searching a species-metabolite relationship database, KNApSAcK; and (4) structural analyses by an MS/MS method. The scheme was applied to metabolic phenotyping of Arabidopsis (Arabidopsis thaliana) seedlings treated with different herbicidal chemical classes for pathway-specific inhibitions. Arabidopsis extracts were directly infused into an electrospray ionization source on an FT-ICR/MS system. Acquired metabolomics data were comprised of mass-to-charge ratio values with ion intensity information subjected to principal component analysis, and metabolic phenotypes from the herbicide treatments were clearly differentiated from those of the herbicide-free treatment. From each herbicide treatment, candidate metabolites representing such metabolic phenotypes were found through the KNApSAcK database search. The database search and MS/MS analyses suggested dose-dependent accumulation patterns of specific metabolites including several flavonoid glycosides. The metabolic phenotyping scheme on the basis of FT-ICR/MS coupled with the DMASS program is discussed as a general tool for high throughput metabolic phenotyping studies.

Indexed as

ArabidopsisCyclotronsFourier AnalysisGerminationHerbicidesMass SpectrometryMolecular StructurePhenotypeSeedlingsHerbicides

Identifiers

PMID16905671
PMCPMC1586045
OpenAlexW2150770100

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.