Evidence map›Paper›PMID 16962982›Full record

ArticleAnalytical biochemistry2006

Identifying decomposition products in extracts of cellular metabolites.

Elizabeth Kimball, Joshua D Rabinowitz

Abstract read
In one paragraph

Article in Analytical biochemistry, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Comparative Metabolomics ofJournal of microbiology and biotechnology · 2025
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  11. Applications of NMR spectroscopy to systems biochemistry.Progress in nuclear magnetic resonance spectroscopy · 2016
    Review
  12. Impact of storage conditions on metabolite profiles of sputum samples from persons with cystic fibrosis.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2015
    Article
  13. Hierarchy in pentose sugar metabolism in Clostridium acetobutylicum.Applied and environmental microbiology · 2015
    Article
  14. Article
  15. Article
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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

2 authors.

Elizabeth KimballDepartment of Chemistry and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08542, USA.
Joshua D Rabinowitz

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI POWELL, SUSAN M · 2004 to 2013
$30.6M
NIGMS NIH HHS P50 GM071508-017803
6 · The paper itself

Abstract

Most methods of analyzing intracellular metabolites require extraction of metabolites from the cells. A concern in these methods is underestimation of metabolite levels due to incomplete extraction. In comparing extraction methods, then, it would seem that the best method for extracting a particular metabolite is the one that gives the largest yield. In extracting Escherichia coli with different methanol:water mixtures, we observed that >or=50% water gave an increased yield of nucleosides and bases compared with <or=20% water, as determined by liquid chromatography-tandem mass spectrometry analysis of the resulting extracts. Spiking of the extracts with isotope-labeled nucleotides revealed, however, that the high yield of nucleosides and bases occurred due to decomposition of nucleotides in the water-rich condition, not due to good extraction. Spiking combined with isotope labeling provides a general approach to detecting decomposition products in extracts of cellular metabolites. For extraction of E. coli with methanol:water, cold temperature and a high methanol fraction minimize artifacts due to metabolite decomposition.

Indexed as

Chromatography, LiquidEscherichia coliMass SpectrometryMethanolReference StandardsWaterMethanolWater

Identifiers

PMID16962982
PMCPMC1868396

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.