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Monitoring of partial pressure of CO2 in off-gas. Glucose pulse was performed in anaerobically growing yeast Saccharomyces cerevisiae in steady state chemostat (D = 0.1 h-1) and transent concentrations of the extra- and intracellular metabolites from central carbon metabolism (e.g. glycolysis, PPP, glycerol, purines, etc) were measured.

Dynamics of intracellular metabolites (pyr, suc, fum, mal, akg, pep, g3p, 2pg, 3pg, cit, r5p, f6p, g6p, 6pg, ATP, ADP, AMP, UTP, GTP, inosine, NAD+, IMP, UDP, NADP+, CTP, AdenyloSuccinate, NADPH, trehalose) during glucose pulse. Glucose pulse was performed in anaerobically growing yeast Saccharomyces cerevisiae in steady state chemostat (D = 0.1 h-1) and transent concentrations of the extra- and intracellular metabolites from central carbon metabolism (e.g. glycolysis, PPP, glycerol, purines, ...

Dynamics of extracellular metabolites (glc, pyr, suc, lac, gly, ac, etoh, fum, mal, cit, including loss of akg, g3p, 2pg, 3pg, r5p, f6p, g6p, 6pg) during glucose pulse. Glucose pulse was performed in anaerobically growing yeast Saccharomyces cerevisiae in steady state chemostat (D = 0.1 h-1) and transent concentrations of the extra- and intracellular metabolites from central carbon metabolism (e.g. glycolysis, PPP, glycerol, purines, etc) were measured.

Kinetic characterisation of FBPAase. Expermental data for enzyme reaction rates with increasing concentrations of DHAP and GAP.

Kinetic characterisation of TPI. Experimental data for enzyme reaction rates with increasing concentrations of DHAP and GAP, and inhibition with 3PG and PEP.

Kinetic characterisation of GAPDH. Expermental data for enzyme reaction rates with increasing concentrations of BPG, NADPH, NADP, GAP and Pi.

Experimental data for determination of half-life of gluconeogenic intermediates (BPG, GAP and DHAP).

Kinetic characterisation of PGK. Expermental data for enzyme reaction rates with increasing concentrations of ATP, ADP, BPG and 3PG.

No description specified

Creator: Thomas Rimpf

Submitter: Thomas Rimpf

This document shows the ArcA phosphorylation levels at different aerobiosis units, measured using Phos-tag gels, western immunoblotting. Exposed films were quantitated using ImageJ and the results shown here.

Creator: Matthew Rolfe

Submitter: Matthew Rolfe

No description specified

Creators: Alexander Ter Beek, Klaas Hellingwerf

Submitter: The JERM Harvester

The data that was published in Alexeeva et al. [1-3] and Alexeeva [4] is an important prerequisite for SUMO. It is used for the development of the models and for the comparison with the SUMO data. By means of the program EasyNPlot [5] the data in the important plots of [1-3] and of the plot of the ArcA activity in [4] was digitalized. The result can be found in the attached files.

[1] Svetlana Alexeeva, Bart de Kort, Gary Sawers, Klaas J. Hellingwerf, and M. Joost Teixeira de Mattos. Effects of ...

Measurement of by-product formation rates, substrate consumption rates and extracellular concentrations of cAMP under aerobic batch conditions with glucose as substrate.

Transcription of glucose uptake transport systems in a mutant background under anaerobic batch conditions.

Transcription of glucose uptake transport systems in a mutant background under aerobic batch conditions.

Measurement of by-product formation rates, substrate consumption rates and extracellular concentrations of cAMP under anaerobic batch conditions with glucose as substrate.

Transcriptional profiles of steady-state chemostat cultures were measured at a range of oxygen levels using microarrays. Oxygen levels were defined by the aerobiosis scale of Alexeeva et al. (2002).

Untargeted and targeted metabolic analysis on T. b. brucei 427 grown under oxidative stress with methylene blue has been carried out. This work has been completed with 11 bio-reps and found significant metabolic changes as you can see in the IDEOM file attached. 'Comparison' tab in the data spread sheet shows heat maps and fold change analysis regarding different metabolite levels (T: T brucei, TMB: T. brucei exposed to methylene blue, numbers: time points, 0, 5, 60 & 120min). If you double ...

Metabolic changes of 26 intracellular metabolites extracted from T. b. brucei 427 wild type and arginine kinase knockout cells under high pH stress (pH8.7)

Intracellular concentrations of 50 metabolites measured by LC-MS using isotope ratio based mass spectrometry technique

Concentrations of 22 extracellular metabolites (major medium components) from T. b. brucei 427

Metabolic changes of 26 intracellular metabolites extracted from T. b. brucei 427 wild type and arginine kinase knockout cells exposed to methylene blue

In Bacillus subtilis and its relatives carbon catabolite control, a mechanism enabling to reach maximal efficiency of carbon and energy sources metabolism, is achieved by the global regulator CcpA (carbon catabolite protein A). CcpA in a complex with HPr-Ser-P (seryl-phosphorylated form of histidine-containing protein, HPr) binds to operator sites called catabolite responsive elements, cre. Depending on the cre box position relative to the promoter, the CcpA/HPr-Ser-P complex can either act as a ...

Creator: Oscar Kuipers

Submitter: Leif Steil

The abscissa of the plots shows the percentage of aerobiosis that is a physiological measure for oxygen availability (http://www.ncbi.nlm.nih.gov/pubmed/11844770).

  1. Grey Boxes: Enzymes & Reactions blue lines/symbols: flux in mmol per gramm dry cell weight an hour red lines/symbols: mRNA levels

  2. White Boxes: Intracellular and extracellular metabolites blue lines/symbols: concentration of the metabolites (extracellular: mM, intracellular: AU)

  3. Yellow Boxes: Aggregated Quantities as yield, ...

Table describing the catabolite repression of β-xylosidase by different carbon sources(glucose, sorbitol, fructose, maltose, glycerol. mannitol) in various mutants of CcpA cofactors (HprK, crh)

Creator: Joerg Stuelke

Submitter: Leif Steil

No description specified

Creator: Joerg Stuelke

Submitter: Leif Steil

Recent studies revealed the unsuspected complexity of the bacterial transcriptome but its systematic analysis across many diverse conditions remains a challenge. Here we report the condition-dependent transcriptome of the prototype strain B. subtilis 168 across 104 conditions reflecting the bacterium's life-styles. This data set composed of 269 tiling array hybridizations allowed to observe ~85% of the annotated CDSs expressed in the higher 30% in at least one hybridization and thus provide an ...

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