Journal article
Introducing a Cell-Free Approach for the Identification of Brewing Yeast (Saccharomyces cerevisiae) Strains Using MALDI-TOF MS
Journal of the American Society for Mass Spectrometry, v 29(11), pp 2248-2259
01 Nov 2018
PMID: 30088233
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Matrix-assisted laser desorption ionization (MALDI) time-of-flight mass spectrometry (TOF MS) is now accepted as a quick, easy-to-use, cost-effective, and accurate technique for the identification of microorganisms. However, the successful identification of microorganisms is dependent upon careful attention to factors such as growth conditions, extraction methods, mass spectral data collection, and data analysis procedures. Currently, most microorganism identification has been limited to the species level, and only a limited number of publications have been successful in achieving strain-level identification. In this work, a cell-free approach is introduced where peptide analytes secreted by several Saccharomyces cerevisiae strains during their growth period are analyzed. The analysis of the cell supernatant generates mass spectral patterns that are specific to each strain. The patterns generated in combination with a robust data analysis workflow using the open-source programs MALDIquant and Mass-Up allows for strain-level identification of S. cerevisiae. The cell-free approach using the yeast supernatant to accurately identify yeast strains is presented here as a proof of concept.
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Details
- Title
- Introducing a Cell-Free Approach for the Identification of Brewing Yeast (Saccharomyces cerevisiae) Strains Using MALDI-TOF MS
- Creators
- Elsa Gorre - Drexel UniversityCathy Muste - Drexel UniversityKevin G. Owens - Drexel University
- Publication Details
- Journal of the American Society for Mass Spectrometry, v 29(11), pp 2248-2259
- Publisher
- Springer Nature
- Number of pages
- 12
- Grant note
- 0840273 / National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Chemistry
- Web of Science ID
- WOS:000447520900014
- Scopus ID
- 2-s2.0-85054897913
- Other Identifier
- 991019168717404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Biochemical Research Methods
- Chemistry, Analytical
- Chemistry, Physical
- Spectroscopy