Literature DB >> 20149631

Fast sampling for quantitative microbial metabolomics.

Walter M van Gulik1.   

Abstract

Targeted metabolomics, aimed at the study of metabolic reaction networks and their regulation in vivo, is a rapidly emerging field in systems biology. Obtaining proper quantitative snapshots of the microbial metabolome requires fast sampling, immediate quenching of enzymatic activity, separation of exometabolome and endometabolome, complete metabolite extraction from the cells, and reliable high-throughput analysis methods. This review addresses the current state of the art of rapid sampling and quenching for microbial metabolomics. Several robust and reliable rapid sampling devices have been developed. Various quenching and separation procedures have been proposed and applied, but with respect to the reliability of the different methods the literature is contradictory. To date a reliable universal method applicable to different microbial species is still lacking.

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Year:  2010        PMID: 20149631     DOI: 10.1016/j.copbio.2010.01.008

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  20 in total

Review 1.  Metabolomics and malaria biology.

Authors:  Viswanathan Lakshmanan; Kyu Y Rhee; Johanna P Daily
Journal:  Mol Biochem Parasitol       Date:  2010-10-21       Impact factor: 1.759

2.  Development of quantitative metabolomics for Pichia pastoris.

Authors:  Marc Carnicer; André B Canelas; Angela Ten Pierick; Zhen Zeng; Jan van Dam; Joan Albiol; Pau Ferrer; Joseph J Heijnen; Walter van Gulik
Journal:  Metabolomics       Date:  2011-04-21       Impact factor: 4.290

Review 3.  Metabolite Measurement: Pitfalls to Avoid and Practices to Follow.

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Journal:  Annu Rev Biochem       Date:  2017-06-20       Impact factor: 23.643

4.  Optimization of cold methanol quenching for quantitative metabolomics of Penicillium chrysogenum.

Authors:  Lodewijk P de Jonge; Rutger D Douma; Joseph J Heijnen; Walter M van Gulik
Journal:  Metabolomics       Date:  2011-10-07       Impact factor: 4.290

5.  Positive feedback exists and drives the glucose-mediated repression in Escherichia coli.

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Journal:  Biophys J       Date:  2022-01-20       Impact factor: 4.033

Review 6.  Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices.

Authors:  Saleh Alseekh; Asaph Aharoni; Yariv Brotman; Kévin Contrepois; John D'Auria; Jan Ewald; Jennifer C Ewald; Paul D Fraser; Patrick Giavalisco; Robert D Hall; Matthias Heinemann; Hannes Link; Jie Luo; Steffen Neumann; Jens Nielsen; Leonardo Perez de Souza; Kazuki Saito; Uwe Sauer; Frank C Schroeder; Stefan Schuster; Gary Siuzdak; Aleksandra Skirycz; Lloyd W Sumner; Michael P Snyder; Huiru Tang; Takayuki Tohge; Yulan Wang; Weiwei Wen; Si Wu; Guowang Xu; Nicola Zamboni; Alisdair R Fernie
Journal:  Nat Methods       Date:  2021-07-08       Impact factor: 47.990

7.  Quantitative Metabolomics and Instationary 13C-Metabolic Flux Analysis Reveals Impact of Recombinant Protein Production on Trehalose and Energy Metabolism in Pichia pastoris.

Authors:  Joel Jordà; Hugo Cueto Rojas; Marc Carnicer; Aljoscha Wahl; Pau Ferrer; Joan Albiol
Journal:  Metabolites       Date:  2014-05-05

Review 8.  Nitrogen assimilation in Escherichia coli: putting molecular data into a systems perspective.

Authors:  Wally C van Heeswijk; Hans V Westerhoff; Fred C Boogerd
Journal:  Microbiol Mol Biol Rev       Date:  2013-12       Impact factor: 11.056

9.  Metabolic fingerprinting of Lactobacillus paracasei: the optimal quenching strategy.

Authors:  Kristina B Jäpelt; Jan H Christensen; Silas G Villas-Bôas
Journal:  Microb Cell Fact       Date:  2015-09-04       Impact factor: 5.328

10.  OpenMebius: an open source software for isotopically nonstationary 13C-based metabolic flux analysis.

Authors:  Shuichi Kajihata; Chikara Furusawa; Fumio Matsuda; Hiroshi Shimizu
Journal:  Biomed Res Int       Date:  2014-06-11       Impact factor: 3.411

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