Biphasic response as a mechanism against mutant takeover in tissue homeostasis circuits
SEEK ID: https://fairdomhub.org/investigations/216
Projects: Molecular Systems Biology
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Created: 31st Jul 2018 at 09:28
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Projects: PSYSMO, MOSES, SysMO DB, SysMO-LAB, SulfoSys, SulfoSys - Biotec, Whole body modelling of glucose metabolism in malaria patients, FAIRDOM, Molecular Systems Biology, COMBINE Multicellular Modelling, HOTSOLUTE, Steroid biosynthesis, Yeast glycolytic oscillations, Computational pathway design for biotechnological applications, SCyCode The Autotrophy-Heterotrophy Switch in Cyanobacteria: Coherent Decision-Making at Multiple Regulatory Layers, Project Coordination, WP 3: Drug release kinetics study, Glucose metabolism in cancer cell lines
Institutions: Manchester Centre for Integrative Systems Biology, University of Manchester, University of Stellenbosch, University of Manchester - Department of Computer Science, Stellenbosch University
This programme is used to store published data files that are not available in other FAIRDOM projects. We specifically store information for journals that we collaborate with for technical curation of mathematical models. These files are used in COMBINE archives to reproduce journal figures.
Projects: Molecular Systems Biology
Web page: Not specified
The Molecular Systems Biology project holds information for reproducing simulation figures in the journal. This can include experimental data files, model files and manuscript information.
Programme: Journals
Public web page: http://msb.embopress.org
Organisms: Not specified
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
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Biphasic control can provide mutant resistance to stem-cell homeostatic ...
Snapshots: No snapshots
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
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Biphasic control can provide mutant resistance to stem-cell homeostatic ...
Snapshots: No snapshots
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 ...
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Frequency-dependent selection of mutant pancreatic beta cells.
Snapshots: No snapshots
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
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Biphasic control can resist mutant invasion of feedback circuits.
Snapshots: No snapshots
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
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Biphasic control can resist mutant invasion of feedback circuits.
Snapshots: No snapshots
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
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Biphasic control can resist mutant invasion of feedback circuits.
Snapshots: No snapshots
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
Submitter: Jacky Snoep
Investigation: Karin et al (2017) Molecular Systems Biology
Assays: Biphasic control can resist mutant invasion of feedback circuits.
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Submitter: Jacky Snoep
Biological problem addressed: Model Analysis Type
Investigation: Karin et al (2017) Molecular Systems Biology
Organisms: No organisms
Models: 1 hidden item
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots
Abstract (Expand)
Authors: Omer Karin, Uri Alon
Date Published: 26th Jun 2017
Publication Type: Not specified
Citation: Mol Syst Biol 13(6) : 933