Evidence map›Paper›PMID 21423574›Full record

ArticlePloS one2011

A topological map of the compartmentalized Arabidopsis thaliana leaf metabolome.

Stephan Krueger, Patrick Giavalisco, Leonard Krall, Marie-Caroline Steinhauser, Dirk Büssis, Bjoern Usadel, Ulf-Ingo Flügge, Alisdair R Fernie, Lothar Willmitzer, Dirk Steinhauser

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In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 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

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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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Stephan KruegerBotanical Institute, University of Cologne, Cologne, Germany.
Patrick Giavalisco
Leonard Krall
Marie-Caroline Steinhauser
Dirk Büssis
Bjoern Usadel
Ulf-Ingo Flügge
Alisdair R Fernie
Lothar Willmitzer
Dirk Steinhauser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe extensive subcellular compartmentalization of metabolites and metabolism in eukaryotic cells is widely acknowledged and represents a key factor of metabolic activity and functionality. In striking contrast, the knowledge of actual compartmental distribution of metabolites from experimental studies is surprisingly low. However, a precise knowledge of, possibly all, metabolites and their subcellular distributions remains a key prerequisite for the understanding of any cellular function. METHODOLOGY/PRINCIPAL

findingsHere we describe results for the subcellular distribution of 1,117 polar and 2,804 lipophilic mass spectrometric features associated to known and unknown compounds from leaves of the model plant Arabidopsis thaliana. Using an optimized non-aqueous fractionation protocol in conjunction with GC/MS- and LC/MS-based metabolite profiling, 81.5% of the metabolic data could be associated to one of three subcellular compartments: the cytosol (including the mitochondria), vacuole, or plastids. Statistical analysis using a marker-'free' approach revealed that 18.5% of these metabolites show intermediate distributions, which can either be explained by transport processes or by additional subcellular compartments. CONCLUSION/SIGNIFICANCE: Next to a functional and conceptual workflow for the efficient, highly resolved metabolite analysis of the fractionated Arabidopsis thaliana leaf metabolome, a detailed survey of the subcellular distribution of several compounds, in the graphical format of a topological map, is provided. This complex data set therefore does not only contain a rich repository of metabolic information, but due to thorough validation and testing by statistical methods, represents an initial step in the analysis of metabolite dynamics and fluxes within and between subcellular compartments.

Indexed as

Cell CompartmentationMetabolomeArabidopsisBiomarkersCell FractionationCluster AnalysisModels, BiologicalModels, StatisticalPlant LeavesPrincipal Component AnalysisReproducibility of ResultsSubcellular FractionsBiomarkers

Identifiers

PMID21423574
PMCPMC3058050

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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.