Dataset metabolomics: Measurements of extracellular sugars and intracellular central carbon metabolites in Saccharomyces cerevisiae under steady-state chemostat and feast/famine regimes with different sugar substrates

doi: 10.4121/21692057.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/21692057
Datacite citation style:
Koen Verhagen; Ilse Pardijs; Thijs van Klaveren; S.A. (Aljoscha) Wahl (2023): Dataset metabolomics: Measurements of extracellular sugars and intracellular central carbon metabolites in Saccharomyces cerevisiae under steady-state chemostat and feast/famine regimes with different sugar substrates. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21692057.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This metabolomics dataset was generated to analyse the changes in the intracellular metabolome between both steady-state chemostat and feast/famine regime cultivation of Saccharomyces cerevisiae CEN.PK113-7D grown on sucrose, maltose and fructose at D = 0.1 h-1


Files in this item: 

1) Materials and Methods: Materials_methods_metabolomics_sugar_substrates_chemostat_FF_Verhagen.docx  

Describes the methodology of the reactor experiment, sampling and metabolomics analysis.   

2) Metabolomics data: Metabolomics_data_steady-state_and_feast-famine_sugar_substrates_Verhagen.xlsx  

Contains data of extracellular sugar concentrations and intracellular central carbon metabolite concentrations, measured under both steady state chemostat conditions and feast/famine conditions with respectively fructose, sucrose and maltose as substrates.

history
  • 2023-02-28 first online, published, posted
publisher
4TU.ResearchData
format
Excel (.xlsx) and Word (.docx) files
funding
  • NWO Building Blocks of Life 737.016.001
organizations
Delft University of Technology, Faculty of Applied Sciences, Department of Biotechnology

DATA

files (2)