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Metabolic fingerprinting of Lactobacillus paracasei: the optimal quenching strategy

Overview of attention for article published in Microbial Cell Factories, September 2015
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Title
Metabolic fingerprinting of Lactobacillus paracasei: the optimal quenching strategy
Published in
Microbial Cell Factories, September 2015
DOI 10.1186/s12934-015-0322-5
Pubmed ID
Authors

Kristina B. Jäpelt, Jan H. Christensen, Silas G. Villas-Bôas

Abstract

Quenching in cold buffered methanol at -40 °C has long been the preferred method for sub-second inactivation of cell metabolism during metabolic fingerprinting. However, methanol is known to cause intracellular metabolite leakage of microbial cells, making the distinction between intra- and extracellular metabolites in microbial systems challenging. In this paper, we tested three quenching protocols proposed for microbial cultures: fast filtration, cold buffered methanol and cold glycerol saline. Our results clearly showed that cold glycerol saline quenching resulted in the best recovery of intracellular metabolites in Lactobacillus paracasei subsp. paracasei (L. paracasei). Membrane integrity assayed by propidium iodide revealed that approximately 10 % of the L. paracasei cell membranes were damaged by contact with the cold buffered methanol solution, whilst cold glycerol saline quenching led to minimal cell damage. Due to the nature of the L. paracasei culture, fast filtration took several minutes, which is far from ideal for metabolites with high intracellular turnover rates. The implementation of a reliable, reproducible quenching method is essential within the metabolomics community. Cold glycerol saline prevented leakage of intracellular metabolites, and, thus, allowed more accurate determinations of intracellular metabolite levels.

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Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 2%
Denmark 1 2%
Costa Rica 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Researcher 7 15%
Student > Bachelor 6 13%
Other 5 11%
Student > Master 4 9%
Other 12 26%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 26%
Biochemistry, Genetics and Molecular Biology 10 21%
Chemistry 6 13%
Immunology and Microbiology 5 11%
Engineering 4 9%
Other 5 11%
Unknown 5 11%