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General Information
Manuscript title Characterization of glucose transport mutants of Saccharomyces cerevisiae during a nutritional upshift reveals a correlation between metabolite levels and glycolytic flux.
PubMed ID 18042231
Journal FEMS Yeast Research
Year 2008
Authors Daniel Bosch, Mikael Johansson, Cecilia Ferndahl, Carl Johan Franzén, Christer Larsson and Lena Gustafsson
Affiliations Molecular Biotechnology and Chemical reaction Engineering, Department of Chemical and Biological Engineering, Chalmers University of Technology, Goeteborg, Sweden
Keywords Saccharomyces cerevisiae, extracellular, metabolites, glucose and fructose pulse
Full text article Bosch_2008.pdf
Project name not specified


Experiment Description
Organism Saccharomyces cerevisiae
Strain CEN.PK2-1C (W.T.), HXT1, HXT7 and TM6
Data type time-series data of metabolites
Data units (mM)
Execution date not specified


Experimental Details
Temperature (°C) 30.0
pH 5.0
Carbon source ethanol
Culture mode chemostat
Process condition aerobic
Dilution rate (h⁻¹) 0.1
Working volume (L) 2.0
Biomass concentration (g/L) correlation of OD with biomass: 0.486 gDW/L OD
Medium composition

defined medium with 5 g/L glucose
General protocol information Sampling method: duplicate samples of 1ml each were steril filtered (0.22 µm), frozen in liquid N2 and stored at -20 ºC.

Quenching procedure: —

Extraction technique: not used

Sample analyzing method: enzymatic
Methods description - Notes

Extracellular metabolites: glucose, ethanol and glycerol were performed using enzymatic combination kits (Boehringer-Mannheim GmbH, Mannheim, Germany).
Data file
KIMODATAID69_v1.xlsx Preview file
Alternative format(s)
 KIMODATAID69_wt_glucose_timeseries.csv Preview
KIMODATAID69_wt_fructose_timeseries.csv Preview
KIMODATAID69_TM6_glucose_timeseries.csv Preview
KIMODATAID69_TM6_fructose_timeseries.csv Preview
KIMODATAID69_HXT7_glucose_timeseries.csv Preview
KIMODATAID69_HXT7_fructose_timeseries.csv Preview
KIMODATAID69_HXT1_glucose_timeseries.csv Preview
KIMODATAID69_HXT1_fructose_timeseries.csv Preview
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XML: metadataDataEntryID69.xml
Plain text: metadataDataEntryID69.txt
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Submission and curation

Entered by: Administrator KiMoSysFirst name: Administrator
Affiliation: INESC-ID/IST
Homepage: http://kdbio.inesc-id.pt/kimosys
Interests: mathematical modeling, accessible data, use of data

Created: 2013-06-21 09:14:42 UTC

Updated: 2020-04-24 16:10:33 UTC

Version: 1

Status: (reviewed) 2013-12-06 17:17:38 UTC

Views: 310

Downloads: 60



Associated Models

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Model
EntryID		 Model name Category Model Type Data used for Access Json
28 Model for respiro-fermentative growth on glucose Metabolism ordinary differential equations Model building {"id":28,"organism_id":69,"comments":"","sbml_file_name":"Bosch_2008.pdf","article_file_name":null,"category":"Metabolism","used_for":"---\n- Model building\n","model_type":"ordinary differential equations","pubmed_id":"18042231","dilution_rate":"—","name_of_model":"Model for respiro-fermentative growth on glucose","manuscript_title":"Characterization of glucose transport mutants of Saccharomyces cerevisiae during a nutritional upshift reveals a correlation between metabolite levels and glycolytic flux.","authors":"Daniel Bosch, Mikael Johansson, Cecilia Ferndahl, Carl Johan Franzén, Christer Larsson and Lena Gustafsson","journal":"FEMS Yeast Research","affiliation":"Molecular Biotechnology and Chemical reaction Engineering, Department of Chemical and Biological Engineering, Chalmers University of Technology, Goeteborg, Sweden","project_name":"","biomodels_id":"","keywords":"fitting, glucose pulse, Saccharomyce cerevisae, respiro-fermentative growth on glucose,","software":"http://www.matlab.com (MATLAB)","control":"2014-04-11T17:42:47.759Z","main_organism":"Saccharomyces cerevisiae","year":2008,"combine_archive_file_name":null,"combine_archive_content_type":null,"combine_archive_file_size":null,"combine_archive_updated_at":null,"review_journal_id":null,"doi":null} Administrator KiMoSys



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