Literature DB >> 20885382

Analytical platform for metabolome analysis of microbial cells using methyl chloroformate derivatization followed by gas chromatography-mass spectrometry.

Kathleen F Smart1, Raphael B M Aggio, Jeremy R Van Houtte, Silas G Villas-Bôas.   

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 intracellular metabolites, thus allowing a more reliable separation of intra- and extracellular metabolites with simultaneous stopping of cell metabolism. The second, fast filtration, is specifically designed for quenching filamentous micro-organisms. These sampling techniques are combined with an easy sample-preparation procedure and a fast chemical derivatization reaction using methyl chloroformate. This reaction takes place at room temperature, in aqueous medium, and is less prone to matrix effect compared with other derivatizations. This protocol takes an average of 10 d to complete and enables the simultaneous analysis of hundreds of metabolites from the central carbon metabolism (amino and nonamino organic acids, phosphorylated organic acids and fatty acid intermediates) using an in-house MS library and a data analysis pipeline consisting of two free software programs (Automated Mass Deconvolution and Identification System (AMDIS) and R).

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Year:  2010        PMID: 20885382     DOI: 10.1038/nprot.2010.108

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  46 in total

1.  Technical advance: simultaneous analysis of metabolites in potato tuber by gas chromatography-mass spectrometry.

Authors:  U Roessner; C Wagner; J Kopka; R N Trethewey; L Willmitzer
Journal:  Plant J       Date:  2000-07       Impact factor: 6.417

2.  Simultaneous analysis of amino and nonamino organic acids as methyl chloroformate derivatives using gas chromatography-mass spectrometry.

Authors:  Silas Granato Villas-Bôas; Daniel Gutierrez Delicado; Mats Akesson; Jens Nielsen
Journal:  Anal Biochem       Date:  2003-11-01       Impact factor: 3.365

Review 3.  Impact of 'ome' analyses on inverse metabolic engineering.

Authors:  Christoffer Bro; Jens Nielsen
Journal:  Metab Eng       Date:  2004-07       Impact factor: 9.783

4.  Analysis of longitudinal metabolomics data.

Authors:  Jeroen J Jansen; Huub C J Hoefsloot; Hans F M Boelens; Jan van der Greef; Age K Smilde
Journal:  Bioinformatics       Date:  2004-04-15       Impact factor: 6.937

Review 5.  Integrating metabolomics into a systems biology framework to exploit metabolic complexity: strategies and applications in microorganisms.

Authors:  Qing-Zhao Wang; Chan-Yuan Wu; Tao Chen; Xun Chen; Xue-Ming Zhao
Journal:  Appl Microbiol Biotechnol       Date:  2006-01-05       Impact factor: 4.813

6.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach.

Authors:  Bryson D Bennett; Jie Yuan; Elizabeth H Kimball; Joshua D Rabinowitz
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

7.  Extracellular metabolomics: a metabolic footprinting approach to assess fiber degradation in complex media.

Authors:  Silas G Villas-Bôas; Samantha Noel; Geoffrey A Lane; Graeme Attwood; Adrian Cookson
Journal:  Anal Biochem       Date:  2005-12-01       Impact factor: 3.365

8.  High-throughput quantitative metabolomics: workflow for cultivation, quenching, and analysis of yeast in a multiwell format.

Authors:  Jennifer Christina Ewald; Stéphanie Heux; Nicola Zamboni
Journal:  Anal Chem       Date:  2009-05-01       Impact factor: 6.986

9.  Impact of the cold shock phenomenon on quantification of intracellular metabolites in bacteria.

Authors:  Christoph Wittmann; Jens O Krömer; Patrick Kiefer; Tina Binz; Elmar Heinzle
Journal:  Anal Biochem       Date:  2004-04-01       Impact factor: 3.365

Review 10.  Measuring the metabolome: current analytical technologies.

Authors:  Warwick B Dunn; Nigel J C Bailey; Helen E Johnson
Journal:  Analyst       Date:  2005-03-04       Impact factor: 4.616

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  101 in total

1.  Toxin-antitoxin systems of Mycobacterium smegmatis are essential for cell survival.

Authors:  Rebekah Frampton; Raphael B M Aggio; Silas G Villas-Bôas; Vickery L Arcus; Gregory M Cook
Journal:  J Biol Chem       Date:  2011-12-23       Impact factor: 5.157

2.  Global urinary metabolic profiling procedures using gas chromatography-mass spectrometry.

Authors:  Eric Chun Yong Chan; Kishore Kumar Pasikanti; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2011-09-08       Impact factor: 13.491

3.  Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

Authors:  Stephen Barnes; H Paul Benton; Krista Casazza; Sara J Cooper; Xiangqin Cui; Xiuxia Du; Jeffrey Engler; Janusz H Kabarowski; Shuzhao Li; Wimal Pathmasiri; Jeevan K Prasain; Matthew B Renfrow; Hemant K Tiwari
Journal:  J Mass Spectrom       Date:  2016-07       Impact factor: 1.982

4.  Transcriptional and metabolomic consequences of LuxS inactivation reveal a metabolic rather than quorum-sensing role for LuxS in Lactobacillus reuteri 100-23.

Authors:  Charlotte M Wilson; Raphael B M Aggio; Paul W O'Toole; Silas Villas-Boas; Gerald W Tannock
Journal:  J Bacteriol       Date:  2012-01-27       Impact factor: 3.490

5.  Targeted metabolomics to investigate antimicrobial activity of itaconic acid in marine molluscs.

Authors:  Thao Van Nguyen; Andrea C Alfaro
Journal:  Metabolomics       Date:  2019-06-22       Impact factor: 4.290

6.  Global metabolic response of Enterococcus faecalis to oxygen.

Authors:  Carla A F Portela; Kathleen F Smart; Sergey Tumanov; Gregory M Cook; Silas G Villas-Bôas
Journal:  J Bacteriol       Date:  2014-03-21       Impact factor: 3.490

7.  Staphylococcus aureus induces cell-surface expression of immune stimulatory NKG2D ligands on human monocytes.

Authors:  Maiken Mellergaard; Rikke Illum Høgh; Astrid Lund; Blanca Irene Aldana; Romain Guérillot; Sofie Hedlund Møller; Ashleigh S Hayes; Nafsika Panagiotopoulou; Zofija Frimand; Stine Dam Jepsen; Camilla Hartmann Friis Hansen; Lars Andresen; Anders Rhod Larsen; Anton Y Peleg; Timothy P Stinear; Benjamin P Howden; Helle S Waagepetersen; Dorte Frees; Søren Skov
Journal:  J Biol Chem       Date:  2020-06-30       Impact factor: 5.157

8.  An exometabolomics approach to monitoring microbial contamination in microalgal fermentation processes by using metabolic footprint analysis.

Authors:  Tiffany Sue; Victor Obolonkin; Hywel Griffiths; Silas Granato Villas-Bôas
Journal:  Appl Environ Microbiol       Date:  2011-09-02       Impact factor: 4.792

9.  Juice Index: an integrated Sauvignon blanc grape and wine metabolomics database shows mainly seasonal differences.

Authors:  Farhana R Pinu; Sergey Tumanov; Claire Grose; Victoria Raw; Abby Albright; Lily Stuart; Silas G Villas-Boas; Damian Martin; Roger Harker; Marc Greven
Journal:  Metabolomics       Date:  2019-01-02       Impact factor: 4.290

10.  High Throughput and Quantitative Measurement of Microbial Metabolome by Gas Chromatography/Mass Spectrometry Using Automated Alkyl Chloroformate Derivatization.

Authors:  Linjing Zhao; Yan Ni; Mingming Su; Hongsen Li; Fangcong Dong; Wenlian Chen; Runmin Wei; Lulu Zhang; Seu Ping Guiraud; Francois-Pierre Martin; Cynthia Rajani; Guoxiang Xie; Wei Jia
Journal:  Anal Chem       Date:  2017-05-02       Impact factor: 6.986

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