Evidence map›Paper›PMID 27853298›Full record

ArticleScientific reports2016

Structured plant metabolomics for the simultaneous exploration of multiple factors.

Nikolay Vasilev, Julien Boccard, Gerhard Lang, Ulrike Grömping, Rainer Fischer, Simon Goepfert, Serge Rudaz, Stefan Schillberg

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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

42 citing papers in PubMed.

  1. Article
  2. Starter-Culture-Dependent Effects ofFoods (Basel, Switzerland) · 2026
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  8. Altitudinal changes induce responses inFrontiers in plant science · 2026
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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

8 authors.

Nikolay VasilevDepartment of Plant Biotechnology, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen 52074, Germany.
Julien BoccardSchool of Pharmaceutical Sciences, University of Lausanne and University of Geneva, 1211, Switzerland.
Gerhard LangPhilip Morris International R&D, Philip Morris Products S.A., Neuchâtel 2000, Switzerland.
Ulrike GrömpingDepartment II-Mathematics, Physics and Chemistry, Beuth University of Applied Sciences, Berlin 13353, Germany.
Rainer FischerDepartment of Plant Biotechnology, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen 52074, Germany.
Simon GoepfertPhilip Morris International R&D, Philip Morris Products S.A., Neuchâtel 2000, Switzerland.
Serge RudazSchool of Pharmaceutical Sciences, University of Lausanne and University of Geneva, 1211, Switzerland.
Stefan SchillbergDepartment of Plant Biotechnology, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Aachen 52074, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple factors act simultaneously on plants to establish complex interaction networks involving nutrients, elicitors and metabolites. Metabolomics offers a better understanding of complex biological systems, but evaluating the simultaneous impact of different parameters on metabolic pathways that have many components is a challenging task. We therefore developed a novel approach that combines experimental design, untargeted metabolic profiling based on multiple chromatography systems and ionization modes, and multiblock data analysis, facilitating the systematic analysis of metabolic changes in plants caused by different factors acting at the same time. Using this method, target geraniol compounds produced in transgenic tobacco cell cultures were grouped into clusters based on their response to different factors. We hypothesized that our novel approach may provide more robust data for process optimization in plant cell cultures producing any target secondary metabolite, based on the simultaneous exploration of multiple factors rather than varying one factor each time. The suitability of our approach was verified by confirming several previously reported examples of elicitor-metabolite crosstalk. However, unravelling all factor-metabolite networks remains challenging because it requires the identification of all biochemically significant metabolites in the metabolomics dataset.

Indexed as

Metabolic Networks and PathwaysMetabolomeCluster AnalysisCytokininsFactor Analysis, StatisticalIndoleacetic AcidsMetabolomicsNicotianaPlant CellsPlant Growth RegulatorsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationCytokininsIndoleacetic AcidsPlant Growth Regulators

Identifiers

PMID27853298
PMCPMC5112604

What OpenQuestion holds

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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.