Evaluation of Extraction Protocols for Simultaneous Polar and Non-Polar Yeast Metabolite Analysis Using Multivariate Projection Methods

Metabolites

Nicolas P. Tambellini¹  Vanina Zaremberg¹  Raymond J. Turner¹ 

[1] Department of Biological Sciences, University of Calgary, 2500 University Drive NW, Calgary T2N 1N4, AB, Canada; E-Mails:

关键词: metabolite extraction;    chloroform/methanol/water partitioning;    GC-MS;    fatty acid methyl esters;    polar metabolites;    PCA;    OPLS;    chemoinformatics;   

DOI  :  10.3390/metabo3030592

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.