Evidence map›Paper›PMID 18442406›Full record

ArticlePlant methods2008

High quality metabolomic data for Chlamydomonas reinhardtii.

Do Yup Lee, Oliver Fiehn

Abstract read
In one paragraph

Article in Plant methods, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Metabolomic Profiling ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  2. Comparative Metabolomics ofJournal of microbiology and biotechnology · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Root Bark ofJournal of microbiology and biotechnology · 2021
    Article
  7. Article
  8. Article
  9. Organic Farming Sharpens Plant Defenses in the Field.Frontiers in sustainable food systems · 2020
    Article
  10. Article
  11. Metabolomic Investigation on Fermentation Products ofJournal of microbiology and biotechnology · 2020
    Article
  12. Article
  13. Article
  14. Development and characterization of aBiotechnology for biofuels · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

2 authors.

Do Yup LeeUniversity of California Davis, Genome Center, Davis, CA 95616, USA. ofiehn@ucdavis.edu.
Oliver Fiehn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The green eukaryote alga Chlamydomonas reinhardtii is a unicellular model to study control of metabolism in a photosynthetic organism. We here present method improvements for metabolite profiling based on GC-TOF mass spectrometry focusing on three parameters: quenching and cell disruption, extract solvent composition and metabolite annotation. These improvements facilitate using smaller cell numbers and hence, smaller culture volumes which enable faster and more precise sampling techniques that eventually lead to a higher number of samples that can be processed, e.g. for time course experiments. Quenching of metabolism was achieved by mixing 1 ml of culture to 1 ml of -70 degrees C cold 70% methanol. After centrifugation, cells were lyophilized and disrupted by milling using 2-6E6 lyophilized cells, around 500-fold less than previously reported. Glass beads were compared to metal balls for milling, and five different extraction solvents were tested. Additionally, all peaks were annotated in an automated way using the GC-TOF database BinBase instead of manual investigation of a single reference chromatogram. Median precision of analysis was used to decide for the eventual procedure which was applied to a proof-of-principle study of time dependent changes of metabolism under standard conditions.

Identifiers

PMID18442406
PMCPMC2377246

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.