Mass spectrometry-based metabolomics of single yeast cells

Single-cell level measurements are necessary to characterize the intrinsic biological variability in a population of cells. In this study, we demonstrate that, with the microarrays for mass spectrometry platform, we are able to observe this variability. We monitor environmentally (2-deoxy- d -glucos...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2013-05, Vol.110 (22), p.8790-8794
Main Authors: Ibáñez, Alfredo J., Fagerer, Stephan R., Schmidt, Anna Mareike, Urban, Pawel L., Jefimovs, Konstantins, Geiger, Philipp, Dechant, Reinhard, Heinemann, Matthias, Zenobi, Renato
Format: Article
Language:English
Subjects:
Bioenergetics
Biological Sciences
Cell Count
Cell cycle
Cells
Cellular metabolism
Correlation analysis
Correlations
Deoxyglucose
Glycolysis - physiology
Linear Models
Mass spectrometry
Mass spectroscopy
Metabolism
Metabolites
Metabolomics
Metabolomics - methods
Microarray Analysis - methods
Phenotypes
Physical Sciences
Saccharomyces cerevisiae - metabolism
Saccharomyces cerevisiae - physiology
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods
Yeast
Yeasts
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Summary:Single-cell level measurements are necessary to characterize the intrinsic biological variability in a population of cells. In this study, we demonstrate that, with the microarrays for mass spectrometry platform, we are able to observe this variability. We monitor environmentally (2-deoxy- d -glucose) and genetically (ΔPFK2) perturbed Saccharomyces cerevisiae cells at the single-cell, few-cell, and population levels. Correlation plots between metabolites from the glycolytic pathway, as well as with the observed ATP/ADP ratio as a measure of cellular energy charge, give biological insight that is not accessible from population-level metabolomic data.
ISSN:0027-8424
1091-6490
DOI:10.1073/pnas.1209302110