Evidence map›Paper›PMID 28771624›Full record

ArticlePloS one2017

LC-MS/MS versus TLC plus GC methods: Consistency of glycerolipid and fatty acid profiles in microalgae and higher plant cells and effect of a nitrogen starvation.

Juliette Jouhet, Josselin Lupette, Olivier Clerc, Leonardo Magneschi, Mariette Bedhomme, Séverine Collin, Sylvaine Roy, Eric Maréchal, Fabrice Rébeillé

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

40 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
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  8. Sterols in plant biologyCell surface (Amsterdam, Netherlands) · 2025
    Review
  9. Marine drugs · 2025
    Review
  10. Article
  11. Measurement of Lipid Transport in Mitochondria by the MTL Complex.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Extraction and Quantification of Lipids from Plant or Algae.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Juliette JouhetLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Josselin LupetteLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Olivier ClercLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Leonardo MagneschiLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Mariette BedhommeLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Séverine CollinLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Sylvaine RoyLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Eric MaréchalLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.
Fabrice RébeilléLaboratoire de Physiologie Cellulaire Végétale, Unité mixte de recherche 5168 CNRS - CEA - INRA - Université Grenoble Alpes, Bioscience and Biotechnologies Institute of Grenoble, CEA Grenoble, Grenoble, France.ORCID 0000-0001-6132-8542
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methods to analyze lipidomes have considerably evolved, more and more based on mass spectrometry technics (LC-MS/MS). However, accurate quantifications using these methods require 13C-labeled standards for each lipid, which is not feasible because of the very large number of molecules. Thus, quantifications rely on standard molecules representative of a whole class of lipids, which might lead to false estimations of some molecular species. Here, we determined and compared glycerolipid distributions from three different types of cells, two microalgae (Phaeodactylum tricornutum, Nannochloropsis gaditana) and one higher plant (Arabidopsis thaliana), using either LC-MS/MS or Thin Layer Chromatography coupled with Gas Chromatography (TLC-GC), this last approach relying on the precise quantification of the fatty acids present in each glycerolipid class. Our results showed that the glycerolipid distribution was significantly different depending on the method used. How can one reconcile these two analytical methods? Here we propose that the possible bias with MS data can be circumvented by systematically running in tandem with the sample to be analyzed a lipid extract from a qualified control (QC) of each type of cells, previously analyzed by TLC-GC, and used as an external standard to quantify the MS results. As a case study, we applied this method to compare the impact of a nitrogen deficiency on the three types of cells.

Indexed as

ArabidopsisChromatography, LiquidChromatography, Thin LayerFatty AcidsGas Chromatography-Mass SpectrometryGlycolipidsMicroalgaeNitrogenStarvationTandem Mass SpectrometryFatty AcidsGlycolipidsNitrogen

Identifiers

PMID28771624
PMCPMC5542700
OpenAlexW2744618004

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.