Evidence map›Paper›PMID 19369275›Full record

ArticlePlant & cell physiology2009

Highly sensitive and high-throughput analysis of plant hormones using MS-probe modification and liquid chromatography-tandem mass spectrometry: an application for hormone profiling in Oryza sativa.

Mikiko Kojima, Tomoe Kamada-Nobusada, Hirokazu Komatsu, Kentaro Takei, Takeshi Kuroha, Masaharu Mizutani, Motoyuki Ashikari, Miyako Ueguchi-Tanaka, Makoto Matsuoka, Koji Suzuki and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Plant & cell physiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 192 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
192citing papers in PubMed, 1 pooled it
35.4field-weighted citation impact, top 1% 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

192 citing papers in PubMed, 1 synthesis or guideline pooled it, 503 citations in OpenAlex.

  1. Pooled it
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  5. Proceedings of the National Academy of Sciences of the United States of America · 2026
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  16. Overexpression of housekeeping geneHorticulture research · 2025
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  17. Research on the Hormonomics of ThreeAntioxidants (Basel, Switzerland) · 2025
    Article
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  19. Review
  20. Article

132 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

11 authors at 4 institutions in 1 country.

Mikiko KojimaRIKEN Plant Science Center, Tsurumi, Yokohama, Japan.
Tomoe Kamada-Nobusada
Hirokazu Komatsu
Kentaro Takei
Takeshi Kuroha
Masaharu Mizutani
Motoyuki Ashikari
Miyako Ueguchi-Tanaka
Makoto Matsuoka
Koji Suzuki
Hitoshi Sakakibara
RIKEN Center for Sustainable Resource Science · JPNagoya University · JPKeio University · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a highly sensitive and high-throughput method for the simultaneous analysis of 43 molecular species of cytokinins, auxins, ABA and gibberellins. This method consists of an automatic liquid handling system for solid phase extraction and ultra-performance liquid chromatography (UPLC) coupled with a tandem quadrupole mass spectrometer (qMS/MS) equipped with an electrospray interface (ESI; UPLC-ESI-qMS/MS). In order to improve the detection limit of negatively charged compounds, such as gibberellins, we chemically derivatized fractions containing auxin, ABA and gibberellins with bromocholine that has a quaternary ammonium functional group. This modification, that we call 'MS-probe', makes these hormone derivatives have a positive ion charge and permits all compounds to be measured in the positive ion mode with UPLC-ESI-qMS/MS in a single run. Consequently, quantification limits of gibberellins increased up to 50-fold. Our current method needs <100 mg (FW) of plant tissues to determine phytohormone profiles and enables us to analyze >180 plant samples simultaneously. Application of this method to plant hormone profiling enabled us to draw organ distribution maps of hormone species in rice and also to identify interactions among the four major hormones in the rice gibberellin signaling mutants, gid1-3, gid2-1 and slr1. Combining the results of hormone profiling data with transcriptome data in the gibberellin signaling mutants allows us to analyze relationships between changes in gene expression and hormone metabolism.

Indexed as

Abscisic AcidChromatography, High Pressure LiquidCytokininsGene Expression ProfilingGibberellinsIndoleacetic AcidsOryzaPlant Growth RegulatorsSpectrometry, Mass, Electrospray IonizationTandem Mass SpectrometryAbscisic AcidCytokininsGibberellinsIndoleacetic AcidsPlant Growth Regulators

Identifiers

PMID19369275
PMCPMC2709547
OpenAlexW2148057455

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.