Browsing by Author "Fagerer, Stephan R."

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Analysis of single algal cells by combining mass spectrometry with Raman and fluorescence mapping
(2013)
Fagerer, Stephan R.
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Schmid, Thomas
;
Ibanez, Alfredo J.
;
Pabst, Martin
;
Steinhoff, Robert
In order to investigate metabolic properties of single cells of freshwater algae (Haematococcus pluvialis), we implement matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) in combination with microspectroscopic mapping. Straightforward coupling of these two detection platforms was possible thanks to the self-aliquoting properties of micro-arrays for mass spectrometry (MAMS). Following Raman and fluorescence imaging, the isolated cells were covered with a MALDI matrix for targeted metabolic analysis by MALDI-MS. The three consecutive measurements carried out on the same cells yielded complementary information. Using this method, we were able to study the encystment of H. pluvialis - by monitoring the adenosine triphosphate (ATP) to adenosine diphosphate (ADP) ratio during the build-up of astaxanthin in the cells as well as the release of beta-carotene, the precursor of astaxanthin, into the cytosol.
Carbon-13 labelling strategy for studying the ATP metabolism in individual yeast cells by micro-arrays for mass spectrometry
(2011)
Urban, Pawel L.
;
Schmidt, A. Mareike
;
Fagerer, Stephan R.
;
Amantonico, Andrea
;
Ibanez, Alfredo
Isotopic labelling of cellular metabolites, used in conjunction with high-density micro-arrays for mass spectrometry enables observation of ATP metabolism in single yeast cells.
Mass spectrometry-based metabolomics of single yeast cells
(2013-05-28)
Ibaneza, Alfredo J.
;
Fagerer, Stephan R.
;
Schmidt, Anna Mareike
;
Urban, Pawel L.
;
Jefimovs, Konstantins
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 (Delta PFK2) 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.