Evidence map›Paper›PMID 11860207›Full record

ReviewPlant molecular biology2002

Metabolomics--the link between genotypes and phenotypes.

Oliver Fiehn

Abstract readReview
PubMed
In one paragraph

Review in Plant molecular biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,325 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,325citing papers in PubMed, 3 pooled it
–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

1,325 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  15. A Metabolome Atlas of Grape Biodiversity.Journal of agricultural and food chemistry · 2026
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1,265 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

1 author.

Oliver FiehnMax-Planck Institute of Molecular Plant Physiology, Potsdam, Germany. fiehn@mpimp-golm.mpg.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolites are the end products of cellular regulatory processes, and their levels can be regarded as the ultimate response of biological systems to genetic or environmental changes. In parallel to the terms 'transcriptome' and proteome', the set of metabolites synthesized by a biological system constitute its 'metabolome'. Yet, unlike other functional genomics approaches, the unbiased simultaneous identification and quantification of plant metabolomes has been largely neglected. Until recently, most analyses were restricted to profiling selected classes of compounds, or to fingerprinting metabolic changes without sufficient analytical resolution to determine metabolite levels and identities individually. As a prerequisite for metabolomic analysis, careful consideration of the methods employed for tissue extraction, sample preparation, data acquisition, and data mining must be taken. In this review, the differences among metabolite target analysis, metabolite profiling, and metabolic fingerprinting are clarified, and terms are defined. Current approaches are examined, and potential applications are summarized with a special emphasis on data mining and mathematical modelling of metabolism.

Indexed as

ArabidopsisGenotypeMagnetic Resonance SpectroscopyMass SpectrometryModels, BiologicalPhenotypePlant ProteinsPlantsPlant Proteins

Identifiers

PMID11860207

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.