Dataset proteomics: Analysis of change in protein expression in Saccharomyces cerevisiae upon shift from chemostat to feast/famine regime for different sugar substrates

DOI:10.4121/21541416.v1
The DOI displayed 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: 10.4121/21541416
Datacite citation style:
Koen Verhagen; Ilse Pardijs; Thijs van Klaveren; S.A. (Aljoscha) Wahl (2023): Dataset proteomics: Analysis of change in protein expression in Saccharomyces cerevisiae upon shift from chemostat to feast/famine regime for different sugar substrates. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/21541416.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This proteomics dataset was generated to analyse the changes in protein expression between a chemostat and feast/famine regime culture of Saccharomyces cerevisiae CEN.PK113-7D grown on sucrose, maltose and fructose at D = 0.1 h-1. Proteome composition of the taken samples was subsequently measured by DSM, and the obtained dataset was analysed for significant changes in protein expression between chemostat and feast/famine conditions.


Files in this item:
1) Materials and Methods:
Materials_methods_proteomics_sugar_substrates_chemostat_FF_shift_Verhagen.docx

Describes the methodology of the reactor experiment, sampling and proteomics data analysis.

2) Proteomics data:
Data_proteomics_sugar_substrates_shift_chemostat_FF_Verhagen.xlsx

Contains raw data received from DSM's proteomics measurements facility and subsequent statistical analysis.
Read sheet 'Description' for explanation of other available sheets in the file

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)