Assays

Global sensitivity analysis of a kinetic model to determine the sensitivities for each parameter, over a wide parameter range. We used the elementary effects method.

Lumped kinetic model of L. lactis glycolysis, formulated with ordinary differential equations. Simulations are in line with experimental data

This experiment uses a low-copy plasmid based system (MG1655 Δlac FF(-41.5)/RW50) for measuring FNR activity. Initial acetate calibration of the chemostat with the MG1655 Δlac strain was carried out, with β-galactosidase activity from the FF(-41.5)/RW50 reporter plasmid measured at 100%, 80%, 50%, 20% and 0% aerobiosis levels. Finally, the aerobiosis levels were re-determined by calculating the actual acetate flux in the sampled chemostat runs.

Note: the strain used (MG1655 Δlac) is not the same ...

The task of this assay is to determine the impact of oxygen availability on the concentrations of metabolites from different central metabolic pathways. The focus lies on metabolites connected to glycolysis, tri-carbon-acid-cycle and energy metabolism. All strains have been cultured and analysed according to the SOPs listed below

Theoretical analysis of hypothetical sigma factor competition. Based on the model 'transcription factor competition' possible dynamics of sigma factor competition are simulated and analysed using Lineweaver-Burk representations.

experimentally measured extracellular fluxes in yeast Saccharomyces cerevisiae in anaerobic glucose limited chemostat (D=0.1 h-1) on minimal medium

Steady state concentrations of extracellular metabolites in yeast Saccharomyces cerevisiae in anaerobic chemostat at D = 0.1 h-1 on minimal medium

Biomass weight 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.

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.

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 macromolecules (total RNA) 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.

These files show physiological measurements from the Sheffield Infors chemostat which were made during acetate calibration and also when sampling for the steady-state transcriptional profiles.

This assay involved the determination of transcriptional profiles at 0, 2, 5, 10, 15 and 20 minutes through aerobic to anaerobic gas transitions and anaerobic to aerobic gas transitions. In each case an aerobic or anaerobic steady state was created, RNA sampled (0 min) and then the gas supply changed. RNA samples were then taken from the time at which the gas supply was changed.

For anaerobic conditions 5% CO2, 95% N2 was used.

The full transcriptional dataset is available from ArrayExpress ...

The transcriptional profiles of steady state E. coli cultures at a range of aerobiosis levels were determined. Two biological replicates and two technical replicates were carried out. Microarrays were carried out in a reference style (i.e. RNA vs a gDNA reference).

This assay describes the determination of concentrations and ratio of metabolites of adenine nucleotides (NAD and NADH). These metabolites have been extracted from Escherichia coli MG1655 and isgenic mutant strains.

This assay describes the determination of concentrations and ratio of metabolites of ubiquinones (oxidised and reduced form). These metabolites have been extracted from Escherichia coli MG1655 and isgenic mutant strains.

This .csv file shows the numbers of different cytochrome molecules per cell from steady-state continuously-grown cultures at various aerobiosis levels (0%, 31%, 56%, 85% and 115% AAU).

B. subtilis was grown in SMM media with glucose as carbon source and the samples for RNA were harvested OD578nm- 1.0). The stress conditions that were applied over here are growthat 57°C, 16°C, 1.2M Nacl and 37°C(control). All the samples were analysed for transcriptome as biological triplicates.

B. subtilis was grown in M9 media with glucose as carbon source and the samples were harvested during exponential phase (OD600nm- 0.4), early stationary phase(OD600nm- 1.3), late stationary phase(OD600nm- 1.0). All the samples were analysed for transcriptome as biological triplicates.

Is cell volume affected by potassium starvation?

The volume reduction as a response to the shift of cells from a medium of high potassium to potassium free medium will be studied in mutants lacking certain membrane transporters like Trk1,2 Nha1, etc. The conditions for the experiments follow Navarrete et al. (2010). Additionally knockouts of related regulation proteins (SAP155, SAP185) will be tested. For each mutant several time points will be measured to generate time courses.

Time courses of the internal pH changes under the conditions of Navarrete et al. (2010) will be obtained. The usage of different mutants (transport systems and regulation factors) will reveal the influence and key systems of pH regulation.

To estimate the changes of internal pH, the pH-dependent variant of GFP pHluorin is expressed in cells from a multicopy plasmid, and the changes in cell fluorescence are monitored during 5 hours of incubation in YNB-F growth media without added potassium.

How does internal potassium changes (decreases) during several hours of potassium starvation. Is there a limit for internal potassium decrease? Sampling potassium content in cells during starvation The relative membrane potential will be measured according to the conditions of Navarrete et al. (2010). Various mutants will be tested for their effect. To estimate the relative changes of plasma-membrane potential, the diSC3(3) fluorescent probe was used and the changes in cell fluorescence monitored ...