Evidence map›Paper›PMID 24958140›Full record

ArticleMetabolites2013

Evaluation of extraction protocols for simultaneous polar and non-polar yeast metabolite analysis using multivariate projection methods.

Nicolas P Tambellini, Vanina Zaremberg, Raymond J Turner, Aalim M Weljie

Abstract read
In one paragraph

Article in Metabolites, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

25 citing papers in PubMed.

  1. Review
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  12. NMR Spectroscopy-Based Metabolic Profiling of Biospecimens.Current protocols in protein science · 2019
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  14. Article
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  18. Review
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  20. Characterization of rapid extraction protocols for high-throughput metabolomics.Rapid communications in mass spectrometry : RCM · 2017
    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

4 authors.

Nicolas P TambelliniDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary T2N 1N4, AB, Canada. nprtambe@ucalgary.ca.
Vanina ZarembergDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary T2N 1N4, AB, Canada. vzarembe@ucalgary.ca.
Raymond J TurnerDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary T2N 1N4, AB, Canada. turnerr@ucalgary.ca.
Aalim M WeljieDepartment of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary T2N 1N4, AB, Canada. aalim@upenn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomic and lipidomic approaches aim to measure metabolites or lipids in the cell. Metabolite extraction is a key step in obtaining useful and reliable data for successful metabolite studies. Significant efforts have been made to identify the optimal extraction protocol for various platforms and biological systems, for both polar and non-polar metabolites. Here we report an approach utilizing chemoinformatics for systematic comparison of protocols to extract both from a single sample of the model yeast organism Saccharomyces cerevisiae. Three chloroform/methanol/water partitioning based extraction protocols found in literature were evaluated for their effectiveness at reproducibly extracting both polar and non-polar metabolites. Fatty acid methyl esters and methoxyamine/trimethylsilyl derivatized aqueous compounds were analyzed by gas chromatography mass spectrometry to evaluate non-polar or polar metabolite analysis. The comparative breadth and amount of recovered metabolites was evaluated using multivariate projection methods. This approach identified an optimal protocol consisting of 64 identified polar metabolites from 105 ion hits and 12 fatty acids recovered, and will potentially attenuate the error and variation associated with combining metabolite profiles from different samples for untargeted analysis with both polar and non-polar analytes. It also confirmed the value of using multivariate projection methods to compare established extraction protocols.

Identifiers

PMID24958140
PMCPMC3901283

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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.