Cell-Free Identification of S. cerevisiae Strains by Analysis of Supernatant Using LC-MS

Current literature shows a gap for methods which can identify yeast sub-species (strains or serovars) in samples where there are no viable cells remaining. Presented here is a technique for the analysis of yeast supernatant, including solid phase extraction, data-dependent acquisition liquid chromat...

Full description

Saved in:
Bibliographic Details
Published in:Journal of the American Society for Mass Spectrometry 2018-11, Vol.29 (11), p.2260-2267
Main Authors: Muste, Cathy, Owens, Kevin G.
Format: Article
Language:English
Subjects:
Algorithms
Analytical Chemistry
Baking yeast
Bioinformatics
Biotechnology
Cell-Free System - microbiology
Chemistry
Chemistry and Materials Science
Chromatography, Liquid - methods
Fungal Proteins - analysis
Fungal Proteins - chemistry
Identification methods
Liquid chromatography
Mass spectrometry
Mass Spectrometry - methods
Organic Chemistry
Peptides - analysis
Peptides - chemistry
Principal Component Analysis
Proteins
Proteomics
Research Article
Saccharomyces cerevisiae - chemistry
Saccharomyces cerevisiae - classification
Solid phases
Yeast
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Current literature shows a gap for methods which can identify yeast sub-species (strains or serovars) in samples where there are no viable cells remaining. Presented here is a technique for the analysis of yeast supernatant, including solid phase extraction, data-dependent acquisition liquid chromatography/mass spectrometry (LC-MS), and two chemometric methods to identify and classify yeast strains. Five strains of Saccharomyces cerevisiae were successfully identified in various stages of growth. In addition, peptide/protein identification was performed, without the need for additional data acquisition. Graphical Abstract ᅟ
ISSN:1044-0305
1879-1123
DOI:10.1007/s13361-018-2046-3