Detail View - Data AccessID 122
General Information
Manuscript title | Linking high-resolution metabolic flux phenotypes and transcriptional regulation in yeast modulated by the global regulator Gcn4p. |
PubMed ID | 19346491 |
Journal | Proc Natl Acad Sci USA |
Year | 2009 |
Authors | Joel F. Moxley, Michael C. Jewett, Maciek R. Antoniewicz, Silas G. Villas-Boas, Hal Alper, Robert T. Wheeler, Lily Tong, Alan G. Hinnebusch, Trey Ideker, Jens Nielsen, and Gregory Stephanopoulos |
Affiliations | Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 |
Keywords | amino acid stress response, fluxomics, gcn4, systems biology |
Full text article | Moxley_2009.pdf |
Project name | not specified |
Experiment Description
Organism | Saccharomyces cerevisiae |
Strain | WT S288C and gcn4-knockout |
Data type | flux measurements |
Data units | not specified |
Execution date | not specified |
Experimental Details
Temperature (°C) | 30 |
pH | 5.0 |
Carbon source | glucose |
Culture mode | chemostat |
Process condition | aerobic |
Dilution rate (h⁻¹) | 0.1 |
Working volume (L) | 1.0 |
Biomass concentration (g/L) | not specified |
Medium composition | unsupplemented YNB minimal media. |
General protocol information |
Flux analysis method:
13C constrained MFA Platform: GC-MS |
Methods description - Notes | Metabolic fluxes were determined using the Metran software, using the elementary metabolite units (EMU) algorithm [1, 2]. Metran accepts as input a user-defined metabolic network model consisting of biochemical reactions and atom transitions, and a set of 13C-measurements an ... Read more |
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KIMODATAID122_v1.xlsx
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Administrator KiMoSysFirst name: Administrator
Affiliation: INESC-ID/IST
Homepage: http://kdbio.inesc-id.pt/kimosys
Interests: mathematical modeling, accessible data, use of data
Created: 2018-09-12 09:46:26 UTC
Updated: 2020-04-24 16:10:37 UTC
Version: 1
Status: (reviewed) 2018-09-12 09:47:23 UTC
Views: 252
Downloads: 173
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