Dataset Information

Single-cell and bulk level metabolomic study of the glycolysis inhibition by 2-deoxy-D-glucose in Saccharomyces cerevisiae

ABSTRACT: Single-cell level measurements are necessary to characterize the intrinsic biological variability in a population of cells. In a study of the metabolic response of a clonal Saccharomyces cerevisiae population challenged by the glycolytic inhibitor 2-deoxy-D-glucose (2-DG), this variability is shown here, by comparing measurements at the population and the single-cell level. A novel microarray platform and MALDI mass spectrometric read-out allow us to follow 24 parameters simultaneously, in up to 100 single-cell measurements. Correlation plots for metabolites from the glycolytic pathway, the pentose phosphate pathway, and the observed ATP/ADP ratio as a measure of cellular energy charge give new insight into biochemical and metabolic pathways, which would not be accessible from population-level metabolomics data. 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 (MAMS) platform we are able to observe this variability. We monitor environmentally-(2-deoxy-D-glucose) and genetically-(∆PFK2) perturbed Saccharomyces cerevisiae cells both at the population and near single-cell 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 new biological insight that is not accessible from population-level metabolomic data.

INSTRUMENT(S): ABI 4800 Plus MALDI-TOF/TOF MS/MS, ABI 4800 Plus MALDI-TOF/TOF

PROVIDER: MTBLS29 | MetaboLights | 2013-05-22

REPOSITORIES: MetaboLights

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Dataset's files

Source:

			Action	DRS
	MSMS_Cells_ADP.t2d.mzxml.xml	Mzxml
	MSMS_Cells_AMP.t2d.mzxml.xml	Mzxml
	MSMS_Cells_ATP.t2d.mzxml.xml	Mzxml
	MSMS_Cells_AcCoA.t2d.mzxml.xml	Mzxml
	MSMS_Cells_Asp.t2d.mzxml.xml	Mzxml

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Publications

Mass spectrometry-based metabolomics of single yeast cells.

Ibáñez Alfredo J AJ Fagerer Stephan R SR Schmidt Anna Mareike AM Urban Pawel L PL Jefimovs Konstantins K Geiger Philipp P Dechant Reinhard R Heinemann Matthias M Zenobi Renato R

Proceedings of the National Academy of Sciences of the United States of America 20130513 22

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 wit ...[more]

PMID: 23671112

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