Studies

Model that eliminates several light inputs. RVE8, NOX are incorporated. Individual representation of CCA1 and LHY. Several changes in conections and light inputs. Fogelmark reports eight parameter sets. This SBML file contains the first parameter set Related PublicationsFogelmark K, Troein C (2014). Rethinking transcriptional activation in the Arabidopsis circadian clock.. PLoS Comput Biology. Retrieved from: http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003705Originally ...

This study describes the results of a survey on enrichment analysis tool usage and provenance reporting for a corpus of SARS-CoV2 data.

Here is a collection of examples of possibilities for API communication in R

Edward B. Irvine, Angel Nikolov, Mehak Z. Khan, Joshua M. Peters, Richard Lu, Jaimie Sixsmith, Aaron Wallace, Esther van Woudenbergh, Sally Shin, Wiktor Karpinski, Jeff C. Hsiao, Arturo Casadevall, Bryan D. Bryson, Lisa Cavacini, Patricia S. Grace, Galit Alter & Sarah M. Fortune

doi: https://doi.org/10.1101/2022.05.01.490220

Mounting evidence indicates that antibodies can contribute towards control of tuberculosis (TB). However, the underlying mechanisms ...

Angel Nikolov

Tuberculosis (TB) is the world’s deadliest infection by number of lives claimed. Thus, novel vaccination and therapeutic strategies are urgently needed to limit the spread of TB. Historically, immunologists have made extensive efforts to potentiate cell-mediated immune responses to control Mycobacterium tuberculosis (Mtb). However, emerging data illustrate that the humoral immune system also plays a role in microbial control of Mtb. Antibodies targeted against surface structures ...

Angel Nikolov

Tuberculosis (TB) is the world’s deadliest infection by number of lives claimed. Thus, novel vaccination and therapeutic strategies are urgently needed to limit the spread of TB. Historically, immunologists have made extensive efforts to potentiate cell-mediated immune responses to control Mycobacterium tuberculosis (Mtb). However, emerging data illustrate that the humoral immune system also plays a role in microbial control of Mtb. Antibodies targeted against surface structures ...

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

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 ...

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.

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

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.

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

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

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 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 ...

Defining the robust behaviour of the plant clock gene circuit with absolute RNA timeseries and open infrastructure

Flis et al. (2015)

DOI: 10.1098/rsob.150042

Photoperiod-dependent changes in the phase of core clock transcripts and global transcriptional outputs at dawn and dusk in Arabidopsis

Flis et al. (2016)

DOI: 10.1111/pce.12754

3 chemostat experiments:

each in 4 biological replicates incl. 1 fed with labelled glucose T = 37°C pH = 7.1 V_R = 300 mL (dasgip parallel bioreactor system) V_G = 9 sL/h (0.5 vvm) M9 Minimal medium + 3,4-dihydroxybenzoate (chelating agent) + 1g/L Glucose n = 1000 rpm

3 conditions:

"reference" without additional sodium chloride as control "stress" supplemented with 1.2M sodium chloride "osmoprotection" supplemented with 1.2M sodium chloride and 1mM glycine betaine (osmoprotectant)

We further used the transcriptome dataset from the GEO database with accession number GSE147507 (Blanco-Melo et al., 2020) to extract the series number 5 from the dataset, consisting of 2 conditions in triplicate, A549 cells treated with a mock and A549 infected with SARS-CoV-2, measured 24 hours after treatment. Phosphoproteomic data of mock-treated and SARS-CoV2 infected cells were extracted from (Stukalov et al., 2020). We then applied our pipeline described in M&M X. This work notably ...