Literature DB >> 19824021

Sampling methods for NMR-based metabolomics of Staphylococcus aureus.

Xiao-He Wu1, Hai-Long Yu, Zhao-Yong Ba, Jing-Yu Chen, Hong-Gang Sun, Bei-Zhong Han.   

Abstract

To select an appropriate sampling method for comparison of metabolite profiles between planktonic and biofilm Staphylococcus aureus using NMR techniques, we evaluated three methods: quenching-centrifugation (QC), filtration-quenching (FQ) and filtration-quenching-lyophilization (FQL). We found differences in metabolite loss, yield, reproducibility and metabolite profile. QC caused severe metabolite leakage and possible decomposition of nucleotides. FQ achieved high yields and reproducibility, although it had the disadvantages of long filtration and rinse times before quenching. FQL resulted in a loss of a few metabolites and a lower yield due to lyophilization. Although the biomarkers discovered by each method were nearly the same and seemed insensitive to technical variances, we conclude that FQ is the most appropriate sampling method because of its high yield and reproducibility.

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Year:  2010        PMID: 19824021     DOI: 10.1002/biot.200900038

Source DB:  PubMed          Journal:  Biotechnol J        ISSN: 1860-6768            Impact factor:   4.677


  13 in total

1.  Untargeted metabolomics studies employing NMR and LC-MS reveal metabolic coupling between Nanoarcheum equitans and its archaeal host Ignicoccus hospitalis.

Authors:  Timothy Hamerly; Brian P Tripet; Michelle Tigges; Richard J Giannone; Louie Wurch; Robert L Hettich; Mircea Podar; Valerie Copié; Brian Bothner
Journal:  Metabolomics       Date:  2015-08-01       Impact factor: 4.290

2.  Microbial Metabolomics: From Methods to Translational Applications.

Authors:  Rui Guo; Xialin Luo; Xu Xin; Lian Liu; Xijun Wang; Haitao Lu
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Gas chromatography-mass spectrometry-based metabolite profiling of Salmonella enterica serovar Typhimurium differentiates between biofilm and planktonic phenotypes.

Authors:  Hui San Wong; Garth L Maker; Robert D Trengove; Ryan M O'Handley
Journal:  Appl Environ Microbiol       Date:  2015-01-30       Impact factor: 4.792

Review 4.  Analysis of bacterial biofilms using NMR-based metabolomics.

Authors:  Bo Zhang; Robert Powers
Journal:  Future Med Chem       Date:  2012-06       Impact factor: 3.808

5.  Revisiting Protocols for the NMR Analysis of Bacterial Metabolomes.

Authors:  Steven Halouska; Bo Zhang; Rosmarie Gaupp; Shulei Lei; Emily Snell; Robert J Fenton; Raul G Barletta; Greg A Somerville; Robert Powers
Journal:  J Integr OMICS       Date:  2013-12

6.  A novel metabolomic approach used for the comparison of Staphylococcus aureus planktonic cells and biofilm samples.

Authors:  Laurence H Stipetic; Matthew J Dalby; Robert L Davies; Fraser R Morton; Gordon Ramage; Karl E V Burgess
Journal:  Metabolomics       Date:  2016-03-08       Impact factor: 4.290

7.  Fast Filtration of Bacterial or Mammalian Suspension Cell Cultures for Optimal Metabolomics Results.

Authors:  Natalie Bordag; Vijay Janakiraman; Jonny Nachtigall; Sandra González Maldonado; Bianca Bethan; Jean-Philippe Laine; Elie Fux
Journal:  PLoS One       Date:  2016-07-20       Impact factor: 3.240

Review 8.  Extracellular Microbial Metabolomics: The State of the Art.

Authors:  Farhana R Pinu; Silas G Villas-Boas
Journal:  Metabolites       Date:  2017-08-22

9.  Optimization of Metabolite Extraction Protocols for the Identification and Profiling of Small Molecule Metabolites from Planktonic and Biofilm Pseudomonas aeruginosa Cultures.

Authors:  Amanda Fuchs; Brian P Tripet; Mary Cloud B Ammons; Valérie Copié
Journal:  Curr Metabolomics       Date:  2016-06-30

10.  Quantitative NMR metabolite profiling of methicillin-resistant and methicillin-susceptible Staphylococcus aureus discriminates between biofilm and planktonic phenotypes.

Authors:  Mary Cloud B Ammons; Brian P Tripet; Ross P Carlson; Kelly R Kirker; Michael A Gross; Jessica J Stanisich; Valérie Copié
Journal:  J Proteome Res       Date:  2014-05-08       Impact factor: 4.466

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