The model reproduces Fig 3a of the paper. Please note that the authors mention that they used a value of 2 for n, n being the power in the positive feedback function for kinase autocatalysis, however the model here has n=1.95 because this results in a simulation that is identical to Fig 3a. The model was successfully tested on MathSBML.
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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
- Feedback control of T-cell receptor activation.
- Chan C, Stark J, George AJ
- Proceedings. Biological sciences , 5/ 2004 , Volume 271 , pages: 931-939
- Department of Immunology, Division of Medicine, Imperial College London, Hammersmith Hospital, Du Cane Road, London W12 ONN, UK.
- The specificity and sensitivity of T-cell recognition is vital to the immune response. Ligand engagement with the T-cell receptor (TCR) results in the activation of a complex sequence of signalling events, both on the cell membrane and intracellularly. Feedback is an integral part of these signalling pathways, yet is often ignored in standard accounts of T-cell signalling. Here we show, using a mathematical model, that these feedback loops can explain the ability of the TCR to discriminate between ligands with high specificity and sensitivity, as well as provide a mechanism for sustained signalling. The model also explains the recent counter-intuitive observation that endogenous 'null' ligands can significantly enhance T-cell signalling. Finally, the model may provide an archetype for receptor switching based on kinase-phosphatase switches, and thus be of interest to the wider signalling community.
Gene Ontology regulation of T cell receptor signaling pathway
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|BIOMD0000000120.svg||Auto-generated Reaction graph (SVG)||20.27 KB||Preview | Download|
|BIOMD0000000120.pdf||Auto-generated PDF file||168.67 KB||Preview | Download|
|BIOMD0000000120.xpp||Auto-generated XPP file||3.09 KB||Preview | Download|
|BIOMD0000000120.sci||Auto-generated Scilab file||67.00 bytes||Preview | Download|
|BIOMD0000000120.vcml||Auto-generated VCML file||29.06 KB||Preview | Download|
|BIOMD0000000120.m||Auto-generated Octave file||4.74 KB||Preview | Download|
|BIOMD0000000120_urn.xml||Auto-generated SBML file with URNs||20.08 KB||Preview | Download|
|BIOMD0000000120.png||Auto-generated Reaction graph (PNG)||52.70 KB||Preview | Download|
|BIOMD0000000120-biopax2.owl||Auto-generated BioPAX (Level 2)||15.72 KB||Preview | Download|
|BIOMD0000000120-biopax3.owl||Auto-generated BioPAX (Level 3)||23.14 KB||Preview | Download|
- Model originally submitted by : Harish Dharuri
- Submitted: Jun 22, 2007 2:02:10 PM
- Last Modified: Apr 8, 2016 4:36:48 PM
(added: 22 Jun 2007, 13:20:12, updated: 22 Jun 2007, 13:20:12)