Literature DB >> 25201272

Targeted metabolomics in cultured cells and tissues by mass spectrometry: method development and validation.

Anas M Abdel Rahman1, Judy Pawling2, Michael Ryczko3, Amy A Caudy4, James W Dennis5.   

Abstract

Metabolomics is the identification and quantitation of small bio-molecules (metabolites) in biological samples under various environmental and genetic conditions. Mass spectrometry provides the unique opportunity for targeted identification and quantification of known metabolites by selective reaction monitoring (SRM). However, reproducibility of this approach depends on careful consideration of sample preparation, chemical classes, and stability of metabolites to be evaluated. Herein, we introduce and validate a targeted metabolite profiling workflow for cultured cells and tissues by liquid chromatography-triple quadrupole tandem mass spectrometry. The method requires a one-step extraction of water-soluble metabolites and targeted analysis of central metabolites that include glycolysis, amino acids, nucleotides, citric acid cycle, and the hexosamine biosynthetic pathway. The sensitivity, reproducibility and molecular stability of each targeted metabolite were assessed under experimental conditions. Quantitation of metabolites by peak area ratio was linear with a dilution over a 4 fold dynamic range with minimal deviation R(2)=0.98. Inter- and intra-day precision with cells and tissues had an average coefficient of variation <15% for cultured cell lines, and somewhat higher for mouse liver tissues. The method applied in triplicate measurements readily distinguished immortalized cells from malignant cells, as well as mouse littermates based on their hepatic metabolic profiles.
Copyright © 2014. Published by Elsevier B.V.

Entities:  

Keywords:  Diagnostics; Mass spectrometry; Metabolism; Precision; Sensitivity

Mesh:

Substances:

Year:  2014        PMID: 25201272     DOI: 10.1016/j.aca.2014.06.012

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  16 in total

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8.  Metabolomics Based Profiling of Dexamethasone Side Effects in Rats.

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9.  Metabolomics of oncogene-specific metabolic reprogramming during breast cancer.

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Journal:  Cancer Metab       Date:  2018-04-03

10.  Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon.

Authors:  Said Nawar; Abdul M Mouazen
Journal:  Sensors (Basel)       Date:  2017-10-24       Impact factor: 3.576

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