2010
DOI: 10.1038/nprot.2010.108
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Analytical platform for metabolome analysis of microbial cells using methyl chloroformate derivatization followed by gas chromatography–mass spectrometry

Abstract: This protocol describes an analytical platform for the analysis of intra- and extracellular metabolites of microbial cells (yeast, filamentous fungi and bacteria) using gas chromatography-mass spectrometry (GC-MS). The protocol is subdivided into sampling, sample preparation, chemical derivatization of metabolites, GC-MS analysis and data processing and analysis. This protocol uses two robust quenching methods for microbial cultures, the first of which, cold glycerol-saline quenching, causes reduced leakage of… Show more

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Cited by 392 publications
(360 citation statements)
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“…The samples were centrifuged and the pooled supernatants dried. Following extraction, the samples were derivatised using the modified methyl chloroformate alkylation procedure detailed by Smart et al [6], before being analysed using a GC-MS instrument.…”
Section: Methodsmentioning
confidence: 99%
“…The samples were centrifuged and the pooled supernatants dried. Following extraction, the samples were derivatised using the modified methyl chloroformate alkylation procedure detailed by Smart et al [6], before being analysed using a GC-MS instrument.…”
Section: Methodsmentioning
confidence: 99%
“…For the analysis of intracellular metabolites, the quenched samples were centrifuged at 36,086 ϫ g for 20 min at Ϫ20°C to separate the microbial cells from the extracellular medium. The supernatants were discarded, and the cell pellets were submitted to metabolite extraction as described in Smart et al (45). Before extraction, 20 l of internal standard (L-alanine-2,3,3,3-d 4 10 mM) was added to each sample.…”
mentioning
confidence: 99%
“…Samples were then processed as described in Smart et al (45). The samples were quenched by rapidly transferring 50 ml of the microbial culture into Falcon tubes containing 150 ml of a precooled (Ϫ20°C) solution of cold glycerol/saline.…”
mentioning
confidence: 99%
See 1 more Smart Citation
“…Raw spectral data were pre-processed according to Smart et al ( 2010 ), using the R package Metab V1.0 (Aggio et al 2011 ) to facilitate highthroughput processing of the data by the Automated Mass Spectral Deconvolution and Identification System (AMDIS). Twenty seven metabolites from different chemical classes were reliably identified by comparing retention times and m/z ratios against an in-house library of spectra.…”
Section: Metabolic Profiling and Data Processingmentioning
confidence: 99%