Bhattacharya2014 - A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway

Model Identifier
BIOMD0000000890
Short description
This is a deterministic nonlinear ordinary differential equation mathematical model of the sterol regulatory element binding protein 2 (SREBP-2) cholesterol genetic regulatory pathway in a hepatocyte.
Format
SBML
(L2V4)
Related Publication
-
A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway.
- Bhattacharya BS, Sweby PK, Minihane AM, Jackson KG, Tindall MJ
- Journal of theoretical biology , 5/ 2014 , Volume 349 , pages: 150-162 , PubMed ID: 24444765
- Department of Mathematics and Statistics, University of Reading, Whiteknights, Reading RG6 6AX, UK.
- Cholesterol is one of the key constituents for maintaining the cellular membrane and thus the integrity of the cell itself. In contrast high levels of cholesterol in the blood are known to be a major risk factor in the development of cardiovascular disease. We formulate a deterministic nonlinear ordinary differential equation model of the sterol regulatory element binding protein 2 (SREBP-2) cholesterol genetic regulatory pathway in a hepatocyte. The mathematical model includes a description of genetic transcription by SREBP-2 which is subsequently translated to mRNA leading to the formation of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), a main regulator of cholesterol synthesis. Cholesterol synthesis subsequently leads to the regulation of SREBP-2 via a negative feedback formulation. Parameterised with data from the literature, the model is used to understand how SREBP-2 transcription and regulation affects cellular cholesterol concentration. Model stability analysis shows that the only positive steady-state of the system exhibits purely oscillatory, damped oscillatory or monotic behaviour under certain parameter conditions. In light of our findings we postulate how cholesterol homeostasis is maintained within the cell and the advantages of our model formulation are discussed with respect to other models of genetic regulation within the literature.
Contributors
Submitter of the first revision: Johannes Meyer
Submitter of this revision: Johannes Meyer
Modellers: Johannes Meyer
Submitter of this revision: Johannes Meyer
Modellers: Johannes Meyer
Metadata information
hasTaxon (1 statement)
hasProperty (2 statements)
hasProperty (2 statements)
Curation status
Curated
Modelling approach(es)
Tags
Connected external resources
Name | Description | Size | Actions |
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Model files |
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Bhattacharya2014.xml | SBML L2V4 Representation of Bhattacharya2014 - A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway | 30.19 KB | Preview | Download |
Additional files |
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Bhattacharya2014.cps | COPASI file of Bhattacharya2014 - A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway | 60.24 KB | Preview | Download |
Bhattacharya2014.sedml | SED-ML file of Bhattacharya2014 - A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway | 2.91 KB | Preview | Download |
- Model originally submitted by : Johannes Meyer
- Submitted: Dec 12, 2019 3:22:24 PM
- Last Modified: Dec 12, 2019 3:23:19 PM
Revisions
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Version: 2
- Submitted on: Dec 12, 2019 3:23:19 PM
- Submitted by: Johannes Meyer
- With comment: Automatically added model identifier BIOMD0000000890
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Version: 1
- Submitted on: Dec 12, 2019 3:22:24 PM
- Submitted by: Johannes Meyer
- With comment: Import of Bhattacharya2014 - A mathematical model of the sterol regulatory element binding protein 2 cholesterol biosynthesis pathway
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revisions as only public revisions are displayed here. Any private revisions
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Legends
: Variable used inside SBML models
: Variable used inside SBML models
Species
Species | Initial Concentration/Amount |
---|---|
c cholesterol |
0.023 item |
h C54701 |
1.1E-5 item |
m C54701 |
3.65E-8 item |
Reactions
Reactions | Rate | Parameters |
---|---|---|
=> c; h | compartment*mu_c*h | mu_c = 0.462 |
=> h; m | compartment*m | [] |
m => | compartment*delta_m*m | delta_m = 0.00135 |
c => | compartment*delta_c*c | delta_c = 0.0036 |
=> m; c | compartment*mu_m/(1+(kappa_m*(1+(c/kappa_c)^y))^x) | kappa_m = 1.0E-4; y = 4.0; mu_m = 1.9E-10; x = 3.0; kappa_c = 0.001 |
h => | compartment*delta_h*h | delta_h = 0.00193 |
Curator's comment:
(added: 12 Dec 2019, 15:23:02, updated: 12 Dec 2019, 15:23:02)
(added: 12 Dec 2019, 15:23:02, updated: 12 Dec 2019, 15:23:02)
Reproduced plot of Figure 3 in the original publication.
Model simulated and plot produced using COPASI 4.24 (Build 197).