Studies

HSD11B1 was inhibited in human subcutaneous and omental adipose tissue, and the effect on oxygenated adrogen metabolism was studied.

Surface plots showing the computational analysis of combined HSD11B1/AKR1C3 ratios and HSD11B1 inhibition.

HSD11B1 was inhibited by CBX and the effect of the inhibition on Cortisone and 11KA4 conversion by HSD11B1/AKR1C3 incubations were measured.

HSD11B1 and AKR1C3 transfected cells were mixed at difefrent ratios and effects on cortisone conversion (Fig. 2B) and 11KT production (Fig. 2C) were measured and simulated.

This study includes the experimental data for model validation and the model predictions of that data set.

This study includes the experimental data for model validation and the model predictions of that data set.

One pot cascade - pathway analysis for the purified Caulinobacter crescentus Weimberg pathway enzymes. Effect of co-factor recycling, removal of XLA, and optimisation on Xylose to aKG is studied.

https://jjj.bio.vu.nl/models/experiments/shen2020_fig3a/simulate https://jjj.bio.vu.nl/models/experiments/shen2020_fig3b/simulate https://jjj.bio.vu.nl/models/experiments/shen2020_fig3c/simulate https://jjj.bio.vu.nl/models/experiments/shen2020_fig3d/simulate

Initial rate kinetics for the purified Caulinobacter crescentus Weimberg pathway enzymes, including substrate dependence, and product inhibition.

Progress curves for the purified Caulinobacter crescentus Weimberg pathway enzymes. Each reaction is followed up to completion and then the next enzyme in the pathway is added, i.e. XDH-XLA-XAD-KDXD and finally KGSADH

Cell free extract - pathway analysis for Caulinobacter crescentus Weimberg pathway enzymes. Effect of co-factor recycling, and Mn2+ on Xylose to aKG conversion is studied.

D Biphasic control of stem-cell expansion, where stem-cell expansion is low both at high and low concentrations of y. The system has a stable fixed point at the concentration of y where pr = 0.5 and an unstable fixed point at some lower concentration of y.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig4d/simulate

C A mutated stem cell with a strong inactivation of the sensing of y has a growth advantage (differentiates less), and therefore, it invades the stem- cell population. As a result, both the stem-cell pool and the number of terminally differentiated cells increase.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig4c/simulate

Mathematical simulation of a tamoxifen-induced conditional knock-in of a sixfold activating GCK mutant in beta cells. (C) The percentage of beta cells with mutated GCK increases to ~25% after 3 days, but then decreases and is eliminated after a few weeks. (D) Glucose levels initially decrease after the tamoxifen injection, but return to normal after a few weeks. Insets: Experimental results of Tornovsky-Babeay et al (2014).

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig2/simulate ...

C Trajectories of Z from different initial concentrations of cells (Z) (i) or y (ii) for the circuit of (B). The healthy concentration Z = ZST is reached regardless of initial concentration of Z, as long as it is nonzero, and regardless of the initial concentration of y.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1c/simulate

D An arrow marks the time when a mutant with a strong activation of the sensing of y arises (for the circuit depicted in B). This mutant has a selective advantage and takes over the population.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1d/simulate

G Trajectories of Z from different initial concentrations of Z (i) or y (ii) for the circuit depicted in (F). The healthy concentration Z = ZST is not reached for small values of Z (Z << ZST) or large values of y (y >> yUST).

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1g/simulate

H The arrows mark the times when a mutant with a strong activation of the sensing of y arises (for the biphasic circuit depicted in F). This mutant has a selective disadvantage and is thus eliminated.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/karin2017_fig1h/simulate

C Numerical simulations of the RpoD6 wild-type network show a shoulder of expression trailing the main peak (red line). All the parameters describing the clock and SigC are as in Fig 4B, and only the threshold of activation of the rpoD6 promoter by the clock was modified. Numerical simulations of a SigC knock-out model (in which the terms representing the regulation of RpoD6 by SigC are set to zero) show only single-peaked oscillations (blue line). D The incoherent feedforward loop circuit that ...

Numerical simulations of the wild-type network show double peaks of expression (red line), and numerical simulations of a SigC knock-out model (in which the terms representing the regulation of PsbAI by SigC are set to zero) show only single-peaked oscillations (blue line)..

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/martins2016_fig4b/simulate

PGK-GAPDH reactions were studied in vitro at 30 and 70 using yeast or Sso enzymes

SED-ML: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig4b/simulate https://jjj.bio.vu.nl/models/experiments/kouril2017_fig4c/simulate

PGK reaction at 30 C. Yeast PGK was incubated at 30 C, in the presence or absence of the ATP recycling system, and the conversion of 3 PG to BPG was followed. SED-ML simulations Fig. 1A: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig1a/simulate

PGK reaction at 70C. Sulfolobus solfataricus PGK was incubated at 70C in presence and absence of an ATP recycling system. Changes in metabolite concentrations was followed via 31P NMR or enzymatic analyses.

SED-ML: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig3b/simulate https://jjj.bio.vu.nl/models/experiments/kouril2017_fig3c/simulate https://jjj.bio.vu.nl/models/experiments/kouril2017_fig3d/simulate

BPG produced with yeast PGK was incubated at 70 C,upon which BPG rapidly dephosphorylates to 3PG. SED-ML: https://jjj.bio.vu.nl/models/experiments/kouril2017_fig2b/simulate

After the removal of the extracellular antibiotic, efflux and inhibition dynamics combine to delay the synthesis of ribosomes in a concentration-dependent manner (panel ii). Colors indicate increasing antibiotic concentration, as shown in panel ii.

SED-ML simulation https://jjj.bio.vu.nl/models/experiments/srimani2017_fig2cii/simulate

Growth-factor deprived mCFU-E cells (5x106 cells per condition) and BaF3-EpoR cells (1x107 cells per condition) were stimulated with different Epo doses and absolute concentrations were determined for pEpoR (B), pAKT (C), ppERK (D). The scale for pS6 (E) was estimated in arbitrary units. GTP-Ras (F) and ppERK were determined upon stimulation with indicated, color-coded Epo doses. pEpoR was analyzed by immunoprecipitation followed by immunoblotting, GTP-Ras was analyzed after pulldown using a ...

Transcriptional response to a sudden increase in extracellular ligand (hormone), for the six network designs of (A). The transcriptional response is taken to equal the ratio ReNrL/Retotal, i.e., the fraction of REs attaching ligand-bound NR. The ligand concentration was increased from 0 to 0.005 nM and maintained constant at the latter level. The observation that design 6 is higher than all other designs at long times is robust for parameter changes up to a factor of 3.

For all experiments, primary CFU-E cells were starved and stimulated with 5 U/ml Epo. At the indicated time points, samples were subjected to quantitative immunoblotting. Experimental data (black circles) with estimated standard errors and trajectories of the best fit (solid lines) are represented. Mass spectrometry data represent replicates of four independent experiments.

Carbon loss due to instability of gluconeogenic pathway intermediates (BPG, GAP, DHAP) at high temperature in S. solfataricus

Mathematical model of a subset of reactions comprising the three most temperature sensitive intermediates of the gluconeogenic pathway in S. solfataricus